From 6659cd1d2e42f646d1e7e2b7828f2eedf3c91db0 Mon Sep 17 00:00:00 2001 From: Harry Date: Tue, 3 Jun 2025 14:42:57 -0400 Subject: [PATCH 01/47] Jet Flavour Extension (Main part) This part act as the main part of the jet flavour tagging module. (Withe the ONNX runtime part updating) Expected Next: 1. Updated JetFlavourHelper (ONNX Interface) 2. Examples --- Project.toml | 2 + .../JetConstituentBuilder.jl | 90 + ext/JetFlavourTagging/JetConstituentUtils.jl | 1962 +++++++++++++++++ ext/JetFlavourTagging/JetFlavourTagging.jl | 72 + src/JetReconstruction.jl | 13 + 5 files changed, 2139 insertions(+) create mode 100644 ext/JetFlavourTagging/JetConstituentBuilder.jl create mode 100644 ext/JetFlavourTagging/JetConstituentUtils.jl create mode 100644 ext/JetFlavourTagging/JetFlavourTagging.jl diff --git a/Project.toml b/Project.toml index 51e5e2a4..0175375d 100644 --- a/Project.toml +++ b/Project.toml @@ -17,10 +17,12 @@ StructArrays = "09ab397b-f2b6-538f-b94a-2f83cf4a842a" [weakdeps] EDM4hep = "eb32b910-dde9-4347-8fce-cd6be3498f0c" Makie = "ee78f7c6-11fb-53f2-987a-cfe4a2b5a57a" +ONNXRunTime = "e034b28e-924e-41b2-b98f-d2bbeb830c6a" [extensions] EDM4hepJets = "EDM4hep" JetVisualisation = "Makie" +JetFlavourTagging = ["EDM4hep", "ONNXRunTime"] [compat] Accessors = "0.1.36" diff --git a/ext/JetFlavourTagging/JetConstituentBuilder.jl b/ext/JetFlavourTagging/JetConstituentBuilder.jl new file mode 100644 index 00000000..7b1090e5 --- /dev/null +++ b/ext/JetFlavourTagging/JetConstituentBuilder.jl @@ -0,0 +1,90 @@ +module JetConstituentBuilder + +using EDM4hep +using StructArrays: StructVector + +# Define type aliases for clarity # TODO: Move to JetFlavourTagging file. But requires more checks. +const JetConstituents = StructVector{ReconstructedParticle} +const JetConstituentsData = Vector{Float32} + +""" + build_constituents(jets::JetConstituents, + rps::Vector{EDM4hep.ReconstructedParticle}) -> Vector{JetConstituents} + +Build the collection of constituents (mapping jet -> reconstructed particles) for all jets in event. + +# Returns +A vector of JetConstituents, each containing the constituents for a specific jet. +""" +function build_constituents(jets::JetConstituents, + rps::Vector{EDM4hep.ReconstructedParticle}) + jcs = Vector{JetConstituents}() + for jet in jets + constituents = JetConstituents() + for i in jet.particles_begin:jet.particles_end-1 + push!(constituents, rps[i+1]) # Julia uses 1-based indexing + end + push!(jcs, constituents) + end + return jcs +end + +""" + build_constituents_cluster(rps::JetConstituents, + indices::Vector{Vector{Int}}) -> Vector{JetConstituents} + +Build the collection of constituents using cluster indices. + +# Returns +A vector of JetConstituents, each containing the constituents for a specific cluster. +""" +function build_constituents_cluster(rps::JetConstituents, + indices::Vector{Vector{Int}}) + jcs = Vector{JetConstituents}() + for jet_indices in indices + # Adjust 0-based indices if needed + julia_indices = [idx >= 0 ? idx+1 : idx for idx in jet_indices] + # Filter out invalid indices + valid_indices = filter(idx -> idx > 0 && idx <= length(rps), julia_indices) + if !isempty(valid_indices) + constituents = rps[valid_indices] + push!(jcs, constituents) + else + empty_constituents = StructVector{EDM4hep.ReconstructedParticle}(similar.(fieldarrays(rps), 0)) + push!(jcs, empty_constituents) + end + end + return jcs +end + +""" + get_jet_constituents(csts::Vector{JetConstituents}, jet::Int) -> JetConstituents + +Retrieve the constituents of an indexed jet in the event. + +# Returns +The constituents of the specified jet, or an empty collection if the jet index is invalid. +""" +function get_jet_constituents(csts::Vector{JetConstituents}, jet::Int) + if jet < 0 + return JetConstituents() + end + return csts[jet+1] # Julia uses 1-based indexing +end + +""" + get_constituents(csts::Vector{JetConstituents}, jets::Vector{Int}) -> Vector{JetConstituents} + +Retrieve the constituents of a collection of indexed jets in the event. +""" +function get_constituents(csts::Vector{JetConstituents}, jets::Vector{Int}) + jcs = Vector{JetConstituents}() + for i in eachindex(jets) + if jets[i] >= 0 + push!(jcs, csts[jets[i]+1]) # Julia uses 1-based indexing + end + end + return jcs +end + +end # module JetConstituentBuilder \ No newline at end of file diff --git a/ext/JetFlavourTagging/JetConstituentUtils.jl b/ext/JetFlavourTagging/JetConstituentUtils.jl new file mode 100644 index 00000000..a196b3b8 --- /dev/null +++ b/ext/JetFlavourTagging/JetConstituentUtils.jl @@ -0,0 +1,1962 @@ +using EDM4hep +using JetReconstruction +using StructArrays: StructVector + +# Define type aliases for clarity # TODO: Move to JetFlavourTagging file. But requires more checks. +const JetConstituents = StructVector{ReconstructedParticle} +const JetConstituentsData = Vector{Float32} + +## TODO: maybe those file can go to another vector helper module, or I can use julia buildin Vector type. +""" + Vector2(x::Float64, y::Float64) -> Vector2 + +Create a 2D vector with x and y components. + +Fields: +- `X`: The x component of the vector. +- `Y`: The y component of the vector. +""" +struct Vector2 + X::Float64 + Y::Float64 +end + +""" + Vector3(x::Float64, y::Float64, z::Float64) -> Vector3 + +Create a 3D vector with x, y, and z components. + +Fields: +- `X`: The x component of the vector. +- `Y`: The y component of the vector. +- `Z`: The z component of the vector. +""" +struct Vector3 + X::Float64 + Y::Float64 + Z::Float64 +end + +function v3_cross(v::Vector3, w::Vector3) + return Vector3( + v.Y*w.Z - v.Z*w.Y, + v.Z*w.X - v.X*w.Z, + v.X*w.Y - v.Y*w.X, + ) +end + +""" + v3_dot(v::Vector3, w::Vector3) -> Float64 + +Calculate the dot product of two 3D vectors. + +# Returns +The dot product of the two vectors. +""" +function v3_dot(v::Vector3, w::Vector3) + return v.X*w.X + v.Y*w.Y + v.Z*w.Z +end + + +""" + v3_norm(v::Vector3) -> Float64 + +Calculate the norm (magnitude) of a 3D vector. + +# Returns +The magnitude of the vector. +""" +function v3_norm(v::Vector3) + return sqrt(v.X^2 + v.Y^2 + v.Z^2) +end + + +""" + v3_unit(v::Vector3) -> Vector3 + +Calculate the unit vector of a 3D vector. + +# Returns +The unit vector in the same direction as the input vector. +""" +function v3_unit(v::Vector3) + n = v3_norm(v) + return Vector3(v.X/n, v.Y/n, v.Z/n) +end + +""" + get_Bz(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + tracks::StructVector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} + +Calculate the magnetic field Bz for each particle based on track curvature and momentum. +# Returns +A vector of vectors of Bz values (one vector per jet, one value per constituent). +""" +function get_Bz(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + tracks::StructVector{EDM4hep.TrackState}) + # Constants + c_light = 2.99792458e8 # speed of light in m/s + a = c_light * 1e3 * 1e-15 # conversion factor for omega [1/mm] + + result = Vector{JetConstituentsData}() + + for constituents in jcs + bz_values = JetConstituentsData() + + for p in constituents + # Check if particle has associated tracks through the relation + if isdefined(p, :tracks) && !isnothing(p.tracks) && !isempty(p.tracks) + # Get the first track (most relevant for Bz calculation) + track_idx = p.tracks[1] + + if track_idx <= length(tracks) + track = tracks[track_idx] + pt = sqrt(p.momentum.x^2 + p.momentum.y^2) + + # Calculate Bz based on track curvature (omega) and momentum + charge_sign = p.charge > 0.0 ? 1.0 : -1.0 + bz_val = track.omega / a * pt * charge_sign + push!(bz_values, bz_val) + else + push!(bz_values, -9.0f0) + end + else + push!(bz_values, -9.0f0) + end + end + + push!(result, bz_values) + end + + return result +end + +""" + get_pt(jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} + +Get the transverse momentum of each particle in each jet. +""" +function get_pt(jcs::Vector{JetConstituents}) + result = Vector{JetConstituentsData}() + for jet_constituents in jcs + pt_values = JetConstituentsData() + for p in jet_constituents + pt = sqrt(p.momentum.x^2 + p.momentum.y^2) + push!(pt_values, pt) + end + push!(result, pt_values) + end + return result +end + +""" + get_p(jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} + +Get the momentum magnitude of each particle in each jet. +""" +function get_p(jcs::Vector{JetConstituents}) + result = Vector{JetConstituentsData}() + for jet_constituents in jcs + p_values = JetConstituentsData() + for p in jet_constituents + momentum = sqrt(p.momentum.x^2 + p.momentum.y^2 + p.momentum.z^2) + push!(p_values, momentum) + end + push!(result, p_values) + end + return result +end + +""" + get_e(jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} + +Get the energy of each particle in each jet. +""" +function get_e(jcs::Vector{JetConstituents}) + result = Vector{JetConstituentsData}() + for jet_constituents in jcs + e_values = JetConstituentsData() + for p in jet_constituents + push!(e_values, p.energy) + end + push!(result, e_values) + end + return result +end + +""" + get_theta(jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} + +Get the polar angle of each particle in each jet. +""" +function get_theta(jcs::Vector{JetConstituents}) + result = Vector{JetConstituentsData}() + for jet_constituents in jcs + theta_values = JetConstituentsData() + for p in jet_constituents + # Calculate theta from momentum components + p_mag = sqrt(p.momentum.x^2 + p.momentum.y^2 + p.momentum.z^2) + if p_mag > 0 + theta = acos(p.momentum.z / p_mag) + else + theta = 0.0 + end + push!(theta_values, theta) + end + push!(result, theta_values) + end + return result +end + +""" + get_phi(jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} + +Get the azimuthal angle of each particle in each jet. +""" +function get_phi(jcs::Vector{JetConstituents}) + result = Vector{JetConstituentsData}() + for jet_constituents in jcs + phi_values = JetConstituentsData() + for p in jet_constituents + phi = atan(p.momentum.y, p.momentum.x) + push!(phi_values, phi) + end + push!(result, phi_values) + end + return result +end + +""" + get_charge(jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} + +Get the charge of each particle in each jet. +""" +function get_charge(jcs::Vector{JetConstituents}) + result = Vector{JetConstituentsData}() + for jet_constituents in jcs + charge_values = JetConstituentsData() + for p in jet_constituents + push!(charge_values, p.charge) + end + push!(result, charge_values) + end + return result +end + +""" + get_type(jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} + +Get the PDG type of each particle in each jet. + +# Returns +A vector of vectors of particle types (PDG codes/Particle IDs) +""" +function get_type(jcs::Vector{JetConstituents}) + result = Vector{JetConstituentsData}() + for jet_constituents in jcs + type_values = JetConstituentsData() + for p in jet_constituents + push!(type_values, Float32(p.type)) + end + push!(result, type_values) + end + return result +end + +""" + get_phi0(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + tracks::StructVector{EDM4hep.TrackState}, + V::LorentzVector, Bz::Float64) -> Vector{JetConstituentsData} + +Calculate the phi angle at the point of closest approach for each particle relative to vertex V. +This is a Julia implementation of the C++ function XPtoPar_phi. + +# Arguments +- jcs: Vector of jet constituents (each element contains particles for one jet) +- tracks: StructVector of TrackState objects +- V: LorentzVector representing the primary vertex +- Bz: The magnetic field in Tesla + +# Returns +Vector of vectors of phi values (one vector per jet) +""" +function get_phi0(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + tracks::StructVector{EDM4hep.TrackState}, + V::LorentzVector, Bz::Float64) + + cSpeed = 2.99792458e8 * 1.0e-9 + + result = Vector{JetConstituentsData}() + + for jet_constituents in jcs + phi_values = JetConstituentsData() + for p in jet_constituents + track_found = false + + if p.charge != 0.0 + if !isempty(tracks) + track = tracks[1] + + D0_wrt0 = track.D0 + Z0_wrt0 = track.Z0 + phi0_wrt0 = track.phi + + # Create position vector at closest approach to (0,0,0) + X = [-D0_wrt0 * sin(phi0_wrt0), + D0_wrt0 * cos(phi0_wrt0), + Z0_wrt0] + + # Position vector relative to vertex V + x = X .- [V.x, V.y, V.z] + + # Momentum vector + p_vec = [p.momentum.x, p.momentum.y, p.momentum.z] + + # Calculate phi parameter + a = -p.charge * Bz * cSpeed + pt = sqrt(p.momentum.x^2 + p.momentum.y^2) + r2 = x[1]^2 + x[2]^2 + cross = x[1] * p_vec[2] - x[2] * p_vec[1] + + # Calculate factor T + T = sqrt(pt^2 - 2 * a * cross + a^2 * r2) + + # Calculate phi angle at point of closest approach + # Using atan2 to correctly handle quadrants + phi0 = atan((p_vec[2] - a * x[1]) / T, + (p_vec[1] + a * x[2]) / T) + + push!(phi_values, Float32(phi0)) + track_found = true + end + end + + if !track_found + push!(phi_values, -9.0f0) + end + end + + push!(result, phi_values) + end + + return result +end + +""" + get_dxy(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + tracks::StructVector{EDM4hep.TrackState}, + V::LorentzVector, Bz::Float64) -> Vector{JetConstituentsData} + +Calculate the transverse impact parameter dxy for each particle in each jet relative to vertex V. +Reference: FCCAnalyses c++ function XPtoPar_dxy, adapted for jet constituents. + +# Arguments +- jcs: Vector of jet constituents (each element contains particles for one jet) +- tracks: StructVector of TrackState objects +- V: LorentzVector representing the primary vertex +- Bz: The magnetic field in Tesla + +# Returns +Vector of vectors of dxy values (one vector per jet) +""" +function get_dxy(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + tracks::StructVector{EDM4hep.TrackState}, + V::LorentzVector, Bz::Float64) + + cSpeed = 2.99792458e8 * 1.0e-9 # Speed of light in m/ns + + result = Vector{JetConstituentsData}() + + for jet_constituents in jcs + dxy_values = JetConstituentsData() + + for p in jet_constituents + track_found = false + + if p.charge != 0.0 + if !isempty(tracks) + track = tracks[1] + + D0_wrt0 = track.D0 + Z0_wrt0 = track.Z0 + phi0_wrt0 = track.phi + + X = [-D0_wrt0 * sin(phi0_wrt0), D0_wrt0 * cos(phi0_wrt0), Z0_wrt0] + + x = X .- [V.x, V.y, V.z] + + p_vec = [p.momentum.x, p.momentum.y, p.momentum.z] + + a = -p.charge * Bz * cSpeed + pt = sqrt(p.momentum.x^2 + p.momentum.y^2) + r2 = x[1]^2 + x[2]^2 + cross = x[1] * p_vec[2] - x[2] * p_vec[1] + + D = -9.0f0 + if pt^2 - 2 * a * cross + a^2 * r2 > 0 + T = sqrt(pt^2 - 2 * a * cross + a^2 * r2) + if pt < 10.0 + D = (T - pt) / a + else + D = (-2 * cross + a * r2) / (T + pt) + end + end + + push!(dxy_values, D) + track_found = true + end + end + + if !track_found + push!(dxy_values, -9.0f0) + end + end + + push!(result, dxy_values) + end + + return result +end + +""" + get_dz(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + tracks::StructVector{EDM4hep.TrackState}, + V::LorentzVector, Bz::Float64) -> Vector{JetConstituentsData} + +Calculate the longitudinal impact parameter dz for each particle in each jet relative to vertex V. +Reference: FCCAnalyses c++ function XPtoPar_dz, adapted for jet constituents. + +# Arguments +- jcs: Vector of jet constituents (each element contains particles for one jet) +- tracks: StructVector of TrackState objects +- V: LorentzVector representing the primary vertex +- Bz: The magnetic field in Tesla + +# Returns +Vector of vectors of dz values (one vector per jet) +""" +function get_dz(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + tracks::StructVector{EDM4hep.TrackState}, + V::LorentzVector, Bz::Float64) + + cSpeed = 2.99792458e8 * 1.0e-9 # Speed of light in m/ns + + result = Vector{JetConstituentsData}() + + for jet_constituents in jcs + dz_values = JetConstituentsData() + + for p in jet_constituents + track_found = false + + if p.charge != 0.0 + if !isempty(tracks) + track = tracks[1] + + D0_wrt0 = track.D0 + Z0_wrt0 = track.Z0 + phi0_wrt0 = track.phi + + X = [ + -D0_wrt0 * sin(phi0_wrt0), + D0_wrt0 * cos(phi0_wrt0), + Z0_wrt0 + ] + + # Position vector relative to vertex V + x = X .- [V.x, V.y, V.z] + + # Momentum vector + p_vec = [p.momentum.x, p.momentum.y, p.momentum.z] + + # Calculate dz parameter + a = -p.charge * Bz * cSpeed + pt = sqrt(p.momentum.x^2 + p.momentum.y^2) + C = a / (2 * pt) + r2 = x[1]^2 + x[2]^2 + cross = x[1] * p_vec[2] - x[2] * p_vec[1] + T = sqrt(pt^2 - 2 * a * cross + a^2 * r2) + + # Calculate the distance D + D = 0.0 + if pt < 10.0 + D = (T - pt) / a + else + D = (-2 * cross + a * r2) / (T + pt) + end + + # Calculate the sine of helical parameter + B = C * sqrt(max(r2 - D^2, 0.0) / (1 + 2 * C * D)) + if abs(B) > 1.0 + B = sign(B) + end + + # Path length + st = asin(B) / C + + # Directional tangent + ct = p_vec[3] / pt + + # Calculate z0 (longitudinal impact parameter) + dot_prod = x[1] * p_vec[1] + x[2] * p_vec[2] + z0 = 0.0 + + if dot_prod > 0.0 + z0 = x[3] - ct * st + else + z0 = x[3] + ct * st + end + + push!(dz_values, Float32(z0)) + track_found = true + end + end + + if !track_found + push!(dz_values, -9.0f0) + end + end + + push!(result, dz_values) + end + + return result +end + +""" + get_dptdpt(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + tracks::StructVector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} + +Get the omega covariance (dpt/dpt) for each particle in each jet from its associated track. +Reference: FCCAnalyses c++ function get_omega_cov, adapted for jet constituents. + +# Arguments +- jcs: Vector of jet constituents (each element contains particles for one jet) +- tracks: StructVector of TrackState objects + +# Returns +Vector of vectors of dptdpt values (one vector per jet) +""" +function get_dptdpt(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + tracks::StructVector{EDM4hep.TrackState}) + result = Vector{JetConstituentsData}() + + for jet_constituents in jcs + dptdpt_values = JetConstituentsData() + + for p in jet_constituents + track_found = false + + if p.charge != 0.0 + if !isempty(tracks) + track = tracks[1] + push!(dptdpt_values, Float32(track.covMatrix[6])) + track_found = true + end + end + + if !track_found + push!(dptdpt_values, -9.0f0) + end + end + + push!(result, dptdpt_values) + end + + return result +end + +""" + get_detadeta(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + tracks::StructVector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} + +Get the tanLambda covariance (deta/deta) for each particle in each jet from its associated track. +Reference: FCCAnalyses c++ function get_tanlambda_cov, adapted for jet constituents. + +# Arguments +- jcs: Vector of jet constituents (each element contains particles for one jet) +- tracks: StructVector of TrackState objects + +# Returns +Vector of vectors of detadeta values (one vector per jet) +""" +function get_detadeta(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + tracks::StructVector{EDM4hep.TrackState}) + + result = Vector{JetConstituentsData}() + + for jet_constituents in jcs + detadeta_values = JetConstituentsData() + + for p in jet_constituents + track_found = false + + if p.charge != 0.0 + if !isempty(tracks) + track = tracks[1] + push!(detadeta_values, Float32(track.covMatrix[15])) + track_found = true + end + end + + if !track_found + push!(detadeta_values, -9.0f0) + end + end + + push!(result, detadeta_values) + end + + return result +end + +""" + get_dphidphi(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + tracks::StructVector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} + +Get the phi covariance (dphi/dphi) for each particle in each jet from its associated track. +Reference: FCCAnalyses c++ function get_phi0_cov, adapted for jet constituents. + +# Arguments +- jcs: Vector of jet constituents (each element contains particles for one jet) +- tracks: StructVector of TrackState objects + +# Returns +Vector of vectors of dphidphi values (one vector per jet) +""" +function get_dphidphi(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + tracks::StructVector{EDM4hep.TrackState}) + + result = Vector{JetConstituentsData}() + + for jet_constituents in jcs + dphidphi_values = JetConstituentsData() + + for p in jet_constituents + track_found = false + + if p.charge != 0.0 + if !isempty(tracks) + track = tracks[1] + push!(dphidphi_values, Float32(track.covMatrix[3])) + track_found = true + end + end + + if !track_found + push!(dphidphi_values, -9.0f0) + end + end + + push!(result, dphidphi_values) + end + + return result +end + +""" + get_dxydxy(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} + +Get the d0 covariance (dxy/dxy) for each particle. +""" +function get_dxydxy(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + tracks::StructVector{EDM4hep.TrackState}) + + result = Vector{JetConstituentsData}() + + for jet_constituents in jcs + dxydxy_values = JetConstituentsData() + + for p in jet_constituents + track_found = false + + if p.charge != 0.0 + if !isempty(tracks) + track = tracks[1] + push!(dxydxy_values, Float32(track.covMatrix[1])) + track_found = true + end + end + + if !track_found + push!(dxydxy_values, -9.0f0) + end + end + + push!(result, dxydxy_values) + end + + return result +end + +""" + get_dzdz(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} + +Get the z0 covariance (dz/dz) for each particle. +""" +function get_dzdz(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + tracks::StructVector{EDM4hep.TrackState}) + result = Vector{JetConstituentsData}() + + for jet_constituents in jcs + dzdz_values = JetConstituentsData() + + for p in jet_constituents + track_found = false + + if p.charge != 0.0 + if !isempty(tracks) + track = tracks[1] + push!(dzdz_values, Float32(track.covMatrix[10])) + track_found = true + end + end + + if !track_found + push!(dzdz_values, -9.0f0) + end + end + + push!(result, dzdz_values) + end + + return result +end + +""" + get_dxydz(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} + +Get the d0-z0 covariance (dxy/dz) for each particle. +""" +function get_dxydz(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + tracks::StructVector{EDM4hep.TrackState}) + result = Vector{JetConstituentsData}() + + for jet_constituents in jcs + dxydz_values = JetConstituentsData() + + for p in jet_constituents + track_found = false + + if p.charge != 0.0 + if !isempty(tracks) + track = tracks[1] + push!(dxydz_values, Float32(track.covMatrix[7])) + track_found = true + end + end + + if !track_found + push!(dxydz_values, -9.0f0) + end + end + + push!(result, dxydz_values) + end + + return result +end + +""" + get_dphidxy(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} + +Get the phi0-d0 covariance (dphi/dxy) for each particle. +""" +function get_dphidxy(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + tracks::StructVector{EDM4hep.TrackState}) + + result = Vector{JetConstituentsData}() + + for jet_constituents in jcs + dphidxy_values = JetConstituentsData() + + for p in jet_constituents + track_found = false + + if p.charge != 0.0 + if !isempty(tracks) + track = tracks[1] + push!(dphidxy_values, Float32(track.covMatrix[2])) + track_found = true + end + end + + if !track_found + push!(dphidxy_values, -9.0f0) + end + end + + push!(result, dphidxy_values) + end + + return result +end + +""" + get_dlambdadz(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} + +Get the tanLambda-z0 covariance (dlambda/dz) for each particle. +""" +function get_dlambdadz(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + tracks::StructVector{EDM4hep.TrackState}) + + result = Vector{JetConstituentsData}() + + for jet_constituents in jcs + dlambdadz_values = JetConstituentsData() + + for p in jet_constituents + track_found = false + + if p.charge != 0.0 + if !isempty(tracks) + track = tracks[1] + push!(dlambdadz_values, Float32(track.covMatrix[14])) + track_found = true + end + end + + if !track_found + push!(dlambdadz_values, -9.0f0) + end + end + + push!(result, dlambdadz_values) + end + + return result +end + +""" + get_phidz(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} + +Get the phi0-z0 covariance (dphi/dz) for each particle. +""" +function get_phidz(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + tracks::StructVector{EDM4hep.TrackState}) + + result = Vector{JetConstituentsData}() + + for jet_constituents in jcs + phidz_values = JetConstituentsData() + + for p in jet_constituents + track_found = false + + if p.charge != 0.0 + if !isempty(tracks) + track = tracks[1] + push!(phidz_values, Float32(track.covMatrix[8])) + track_found = true + end + end + + if !track_found + push!(phidz_values, -9.0f0) + end + end + + push!(result, phidz_values) + end + + return result +end + +""" + get_dxyc(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} + +Get the d0-omega covariance (dxy/c) for each particle. +""" +function get_dxyc(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + tracks::StructVector{EDM4hep.TrackState}) + + result = Vector{JetConstituentsData}() + + for jet_constituents in jcs + dxyc_values = JetConstituentsData() + + for p in jet_constituents + track_found = false + + if p.charge != 0.0 + if !isempty(tracks) + track = tracks[1] + push!(dxyc_values, Float32(track.covMatrix[4])) + track_found = true + end + end + + if !track_found + push!(dxyc_values, -9.0f0) + end + end + + push!(result, dxyc_values) + end + + return result +end + +""" + get_dxyctgtheta(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} + +Get the d0-tanLambda covariance (dxy/ctgtheta) for each particle. +""" +function get_dxyctgtheta(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + tracks::StructVector{EDM4hep.TrackState}) + + result = Vector{JetConstituentsData}() + + for jet_constituents in jcs + dxyctgtheta_values = JetConstituentsData() + + for p in jet_constituents + track_found = false + + if p.charge != 0.0 + if !isempty(tracks) + track = tracks[1] + push!(dxyctgtheta_values, Float32(track.covMatrix[11])) + track_found = true + end + end + + if !track_found + push!(dxyctgtheta_values, -9.0f0) + end + end + + push!(result, dxyctgtheta_values) + end + + return result +end + +""" + get_phic(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} + +Get the phi0-omega covariance (phi/c) for each particle. +""" +function get_phic(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + tracks::StructVector{EDM4hep.TrackState}) + + result = Vector{JetConstituentsData}() + + for jet_constituents in jcs + phic_values = JetConstituentsData() + + for p in jet_constituents + track_found = false + + if p.charge != 0.0 + if !isempty(tracks) + track = tracks[1] + push!(phic_values, Float32(track.covMatrix[5])) + track_found = true + end + end + + if !track_found + push!(phic_values, -9.0f0) + end + end + + push!(result, phic_values) + end + + return result +end + +""" + get_phictgtheta(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} + +Get the phi0-tanLambda covariance (phi/ctgtheta) for each particle. +""" +function get_phictgtheta(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + tracks::StructVector{EDM4hep.TrackState}) + + result = Vector{JetConstituentsData}() + + for jet_constituents in jcs + phictgtheta_values = JetConstituentsData() + + for p in jet_constituents + track_found = false + + if p.charge != 0.0 + if !isempty(tracks) + track = tracks[1] + push!(phictgtheta_values, Float32(track.covMatrix[12])) + track_found = true + end + end + + if !track_found + push!(phictgtheta_values, -9.0f0) + end + end + + push!(result, phictgtheta_values) + end + + return result +end + +""" + get_cdz(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} + +Get the omega-z0 covariance (c/dz) for each particle. +""" +function get_cdz(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + tracks::StructVector{EDM4hep.TrackState}) + + result = Vector{JetConstituentsData}() + + for jet_constituents in jcs + cdz_values = JetConstituentsData() + + for p in jet_constituents + track_found = false + + if p.charge != 0.0 + if !isempty(tracks) + track = tracks[1] + push!(cdz_values, Float32(track.covMatrix[9])) + track_found = true + end + end + + if !track_found + push!(cdz_values, -9.0f0) + end + end + + push!(result, cdz_values) + end + + return result +end + +""" + get_cctgtheta(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} + +Get the omega-tanLambda covariance (c/ctgtheta) for each particle. +""" +function get_cctgtheta(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + tracks::StructVector{EDM4hep.TrackState}) + + result = Vector{JetConstituentsData}() + + for jet_constituents in jcs + cctgtheta_values = JetConstituentsData() + + for p in jet_constituents + track_found = false + + if p.charge != 0.0 + if !isempty(tracks) + track = tracks[1] + push!(cctgtheta_values, Float32(track.covMatrix[13])) + track_found = true + end + end + + if !track_found + push!(cctgtheta_values, -9.0f0) + end + end + + push!(result, cctgtheta_values) + end + + return result +end + +""" + get_erel_log_cluster(jets::Vector{EEJet}, + jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}) -> Vector{JetConstituentsData} + +Calculate log of relative energy (log(E_const/E_jet)) for each constituent particle in clustered jets. +""" +function get_erel_log_cluster(jets::Vector{EEJet}, + jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}) + # Define the result type + result = Vector{JetConstituentsData}() + + for i in eachindex(jets) + jet_csts = Float32[] + + # Get jet energy + e_jet = jets[i].E # Assuming EEJet has an e property for energy + + # Get constituents for this jet + if i <= length(jcs) + constituents = jcs[i] + + for jc in constituents + # Calculate relative energy and log + val = (e_jet > 0.0) ? jc.energy / e_jet : 1.0 + erel_log = log10(val) + push!(jet_csts, erel_log) + end + end + + push!(result, jet_csts) + end + + return result +end + +""" + get_thetarel_cluster(jets::Vector{EEJet}, + jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}) -> Vector{JetConstituentsData} + +Calculate relative theta angle between constituent particle and clustered jet axis. +""" +function get_thetarel_cluster(jets::Vector{EEJet}, + jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}) + result = Vector{JetConstituentsData}() + + for i in eachindex(jets) + jet_csts = Float32[] + + # Create a 4-vector for the jet + jet = jets[i] + px, py, pz, E = jet.px, jet.py, jet.pz, jet.E + + # Calculate jet direction angles + p_mag = sqrt(px^2 + py^2 + pz^2) + theta_jet = p_mag > 0 ? acos(pz / p_mag) : 0.0 + phi_jet = atan(py, px) + + # Get constituents for this jet + if i <= length(jcs) + constituents = jcs[i] + + for constituent in constituents + # Create a 4-vector for the constituent + p_const_x = constituent.momentum.x + p_const_y = constituent.momentum.y + p_const_z = constituent.momentum.z + + # Rotate the constituent vector to align with jet axis + + # First rotate around z-axis by -phi_jet + p_rot_x = p_const_x * cos(-phi_jet) - p_const_y * sin(-phi_jet) + p_rot_y = p_const_x * sin(-phi_jet) + p_const_y * cos(-phi_jet) + p_rot_z = p_const_z + + # Then rotate around y-axis by -theta_jet + p_rot2_x = p_rot_x * cos(-theta_jet) - p_rot_z * sin(-theta_jet) + p_rot2_z = p_rot_x * sin(-theta_jet) + p_rot_z * cos(-theta_jet) + p_rot2_y = p_rot_y + + # Calculate theta in rotated frame + p_rot_mag = sqrt(p_rot2_x^2 + p_rot2_y^2 + p_rot2_z^2) + theta_rel = p_rot_mag > 0 ? acos(p_rot2_z / p_rot_mag) : 0.0 + + push!(jet_csts, theta_rel) + end + end + + push!(result, jet_csts) + end + + return result +end + +""" + get_phirel_cluster(jets::Vector{EEJet}, + jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}) -> Vector{JetConstituentsData} + +Calculate relative phi angle between constituent particle and clustered jet axis. +""" +function get_phirel_cluster(jets::Vector{EEJet}, + jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}) + result = Vector{JetConstituentsData}() + + for i in eachindex(jets) + jet_csts = Float32[] + + # Create a 4-vector for the jet + jet = jets[i] + # Access momentum components from EEJet + px, py, pz, E = jet.px, jet.py, jet.pz, jet.E + + # Calculate jet direction angles + p_mag = sqrt(px^2 + py^2 + pz^2) + theta_jet = p_mag > 0 ? acos(pz / p_mag) : 0.0 + phi_jet = atan(py, px) + + # Get constituents for this jet + if i <= length(jcs) + constituents = jcs[i] + + for constituent in constituents + # Get constituent momentum + p_const_x = constituent.momentum.x + p_const_y = constituent.momentum.y + p_const_z = constituent.momentum.z + + # Rotate the constituent vector to align with jet axis + + # First rotate around z-axis by -phi_jet + p_rot_x = p_const_x * cos(-phi_jet) - p_const_y * sin(-phi_jet) + p_rot_y = p_const_x * sin(-phi_jet) + p_const_y * cos(-phi_jet) + p_rot_z = p_const_z + + # Then rotate around y-axis by -theta_jet + p_rot2_x = p_rot_x * cos(-theta_jet) - p_rot_z * sin(-theta_jet) + p_rot2_z = p_rot_x * sin(-theta_jet) + p_rot_z * cos(-theta_jet) + p_rot2_y = p_rot_y + + # Calculate phi in rotated frame + phi_rel = atan(p_rot2_y, p_rot2_x) + + push!(jet_csts, phi_rel) + end + end + + push!(result, jet_csts) + end + + return result +end +""" + get_isMu(jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} + +Check if each constituent particle is a muon. +""" +function get_isMu(jcs::Vector{JetConstituents}) + result = Vector{JetConstituentsData}() + + for jet_constituents in jcs + is_mu = JetConstituentsData() + + for p in jet_constituents + if abs(p.charge) > 0 && abs(p.mass - 0.105658) < 1e-3 + push!(is_mu, 1.0f0) + else + push!(is_mu, 0.0f0) + end + end + + push!(result, is_mu) + end + + return result +end + +""" + get_isEl(jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} + +Check if each constituent particle is an electron. +""" +function get_isEl(jcs::Vector{JetConstituents}) + result = Vector{JetConstituentsData}() + + for jet_constituents in jcs + is_el = JetConstituentsData() + + for p in jet_constituents + if abs(p.charge) > 0 && abs(p.mass - 0.000510999) < 1e-5 + push!(is_el, 1.0f0) + else + push!(is_el, 0.0f0) + end + end + + push!(result, is_el) + end + + return result +end + +""" + get_isChargedHad(jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} + +Check if each constituent particle is a charged hadron. +""" +function get_isChargedHad(jcs::Vector{JetConstituents}) + result = Vector{JetConstituentsData}() + + for jet_constituents in jcs + is_charged_had = JetConstituentsData() + + for p in jet_constituents + if abs(p.charge) > 0 && abs(p.mass - 0.13957) < 1e-3 + push!(is_charged_had, 1.0f0) + else + push!(is_charged_had, 0.0f0) + end + end + + push!(result, is_charged_had) + end + + return result +end + +""" + get_isGamma(jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} + +Check if each constituent particle is a photon (gamma). +""" +function get_isGamma(jcs::Vector{JetConstituents}) + result = Vector{JetConstituentsData}() + + for jet_constituents in jcs + is_gamma = JetConstituentsData() + + for p in jet_constituents + if p.type == 22 # PDG code for photon + push!(is_gamma, 1.0f0) + else + push!(is_gamma, 0.0f0) + end + end + + push!(result, is_gamma) + end + + return result +end + +""" + get_isNeutralHad(jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} + +Check if each constituent particle is a neutral hadron. +""" +function get_isNeutralHad(jcs::Vector{JetConstituents}) + result = Vector{JetConstituentsData}() + + for jet_constituents in jcs + is_neutral_had = JetConstituentsData() + + for p in jet_constituents + if p.type == 130 # PDG code for K_L^0 (common neutral hadron) + push!(is_neutral_had, 1.0f0) + else + push!(is_neutral_had, 0.0f0) + end + end + + push!(result, is_neutral_had) + end + + return result +end + +""" + get_mtof(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + track_L::JetConstituentsData, + trackdata::StructVector{EDM4hep.Track}, + trackerhits::StructVector{EDM4hep.TrackerHit}, + gammadata::StructVector{EDM4hep.Cluster}, + nhdata::StructVector{EDM4hep.Cluster}, + calohits::StructVector{EDM4hep.CalorimeterHit}, + V::LorentzVector) -> Vector{JetConstituentsData} + +Calculate the mass using time-of-flight measurements for each particle in each jet. +This is a Julia implementation of the C++ function get_mtof. + +# Arguments +- jcs: Vector of jet constituents (each element contains particles for one jet) +- track_L: Vector of track lengths +- trackdata: StructVector of Track objects +- trackerhits: StructVector of TrackerHit objects +- gammadata: StructVector of photon Cluster objects +- nhdata: StructVector of neutral hadron Cluster objects +- calohits: StructVector of CalorimeterHit objects +- V: LorentzVector representing the primary vertex position and time + +# Returns +Vector of vectors of mtof values (one vector per jet) +""" +function get_mtof(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + track_L::JetConstituentsData, + trackdata::StructVector{EDM4hep.Track}, + trackerhits::StructVector{EDM4hep.TrackerHit}, + gammadata::StructVector{EDM4hep.Cluster}, + nhdata::StructVector{EDM4hep.Cluster}, + calohits::StructVector{EDM4hep.CalorimeterHit}, + V::LorentzVector) + + # Speed of light in m/s + c_light = 2.99792458e8 + + + result = Vector{JetConstituentsData}() + + for i in eachindex(jcs) + # Get current jet constituents + constituents = jcs[i] + mtof_values = JetConstituentsData() + + for j in eachindex(constituents) + particle = constituents[j] + mtof_added = false + + # NEUTRAL PARTICLES - Handle neutral hadrons (K_L^0) and photons + + # Check if this is a cluster-based particle (neutral hadron or photon) + if hasfield(typeof(particle), :clusters_begin) && particle.clusters_begin > 0 + + # K_L^0 (PDG code 130) + if particle.type == 130 && particle.clusters_begin < length(nhdata) + length(gammadata) + # For neutral hadrons + cluster_idx = particle.clusters_begin - length(gammadata) + + if cluster_idx >= 0 && cluster_idx < length(nhdata) + # Get the first hit from the neutral hadron cluster + if nhdata[cluster_idx+1].hits_begin < length(calohits) + hit_idx = nhdata[cluster_idx+1].hits_begin + calohit = calohits[hit_idx+1] + + # Get time and position from calorimeter hit + T = calohit.time + X = calohit.position.x + Y = calohit.position.y + Z = calohit.position.z + + # Time of flight + tof = T + + # Compute path length with respect to primary vertex (convert to km) + L = sqrt((X - V.x)^2 + (Y - V.y)^2 + (Z - V.z)^2) * 0.001 + + # Calculate beta (v/c) + beta = L / (tof * c_light) + + # Get particle energy + E = particle.energy + + # Calculate mass from relativistic formula: m = E * sqrt(1 - β²) + if beta < 1.0 && beta > 0.0 + push!(mtof_values, Float32(E * sqrt(1.0 - beta * beta))) + mtof_added = true + else + push!(mtof_values, 9.0f0) # Invalid measurement + mtof_added = true + end + end + end + elseif particle.type == 22 # Photon + push!(mtof_values, 0.0f0) # Photons have zero mass + mtof_added = true + end + end + + # CHARGED PARTICLES - Handle electrons, muons, and charged hadrons + + # Check if this is a track-based particle + if !mtof_added && hasfield(typeof(particle), :tracks_begin) && particle.tracks_begin > 0 + # Check if this is an electron + if abs(particle.charge) > 0 && abs(particle.mass - 0.000510999) < 1e-5 + push!(mtof_values, 0.000510999f0) # Electron mass + mtof_added = true + + # Check if this is a muon + elseif abs(particle.charge) > 0 && abs(particle.mass - 0.105658) < 1e-3 + push!(mtof_values, 0.105658f0) # Muon mass + mtof_added = true + + # Other charged particles (mainly pions and kaons) + elseif particle.tracks_begin < length(trackdata) + track_idx = particle.tracks_begin + + # Time given by primary vertex (convert from mm to seconds) + Tin = V.t * 1e-3 / c_light + + # Get the last hit time from the track + Tout = 0.0f0 + if track_idx < length(trackdata) && + trackdata[track_idx+1].trackerHits_begin < length(trackerhits) && + trackdata[track_idx+1].trackerHits_end > 0 + + # Get the last hit in the track + last_hit_idx = trackdata[track_idx+1].trackerHits_end - 1 + if last_hit_idx < length(trackerhits) + Tout = trackerhits[last_hit_idx+1].time + end + end + + # Time of flight + tof = Tout - Tin + + # Get track length + L = 0.0f0 + if track_idx < length(track_L) + L = track_L[track_idx+1] * 0.001 # Convert to km + end + + # Calculate beta (v/c) + beta = 0.0f0 + if tof > 0.0 + beta = L / (tof * c_light) + end + + # Calculate momentum + p = sqrt(particle.momentum.x^2 + particle.momentum.y^2 + particle.momentum.z^2) + + # Calculate mass from relativistic formula: m = p * sqrt(1/β² - 1) + if beta < 1.0 && beta > 0.0 + push!(mtof_values, Float32(p * sqrt(1.0 / (beta * beta) - 1.0))) + mtof_added = true + else + push!(mtof_values, 0.13957039f0) # Default to pion mass + mtof_added = true + end + end + end + + # Add default value if nothing was added for this particle + if !mtof_added + push!(mtof_values, -9.0f0) + end + end + + push!(result, mtof_values) + end + + return result +end + +""" + get_dndx(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + dNdx::StructVector{EDM4hep.Quantity}, + trackdata::StructVector{EDM4hep.Track}, + JetsConstituents_isChargedHad::Vector{JetConstituentsData}) -> Vector{JetConstituentsData} + +Calculate dE/dx or dN/dx for each charged hadron in jets. Neutrals, muons, and electrons are set to 0. +Only charged hadrons have valid dN/dx values. + +# Arguments +- jcs: Vector of jet constituents (each element contains particles for one jet) +- dNdx: StructVector of Quantity objects containing dN/dx measurements (EFlowTrack_2) +- trackdata: StructVector of Track objects (EFlowTrack) +- JetsConstituents_isChargedHad: Vector of vectors indicating which particles are charged hadrons + +# Returns +Vector of vectors of dN/dx values (one vector per jet, one value per constituent) +""" +# TODO: Fix the issue here with the tracks relationship +function get_dndx(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + dNdx::StructVector{EDM4hep.Quantity}, + trackdata::StructVector{EDM4hep.Track}, + JetsConstituents_isChargedHad::Vector{JetConstituentsData}) + + result = Vector{JetConstituentsData}() + + for i in eachindex(jcs) + # Get current jet constituents and charged hadron flags + constituents = jcs[i] + isChargedHad = JetsConstituents_isChargedHad[i] + dndx_values = JetConstituentsData() + + for j in eachindex(constituents) + particle = constituents[j] + + # Check if this is a charged hadron + if j <= length(isChargedHad) && isChargedHad[j] == 1.0 + # For charged hadrons, try to find associated track + track_found = false + + # Check if particle has tracks relationship + if isdefined(particle, :tracks) && !isnothing(particle.tracks) && !isempty(particle.tracks) + # Get the track directly from the relationship + track = first(particle.tracks) # Using first track if multiple are present + + # Check if track has dxQuantities relationship + if isdefined(track, :dxQuantities) && !isnothing(track.dxQuantities) && + !isempty(track.dxQuantities) + + # Get the dxQuantity directly + dx_quantity = first(track.dxQuantities) + + # Get dN/dx value and convert from MeV to GeV + push!(dndx_values, dx_quantity.value / 1000.0) + track_found = true + end + end + + if !track_found + # No valid dN/dx data found + push!(dndx_values, -1.0f0) + end + else + # Not a charged hadron (neutral, muon, or electron) + push!(dndx_values, 0.0f0) + end + end + + push!(result, dndx_values) + end + + return result +end + +""" + get_Sip2dVal_clusterV(jets::Vector{JetReconstruction.EEJet}, + D0::Vector{JetConstituentsData}, + phi0::Vector{JetConstituentsData}, + Bz::Float64) -> Vector{JetConstituentsData} + +Calculate the 2D signed impact parameter value for each particle relative to the jet axis. +This is a Julia implementation of the C++ function get_Sip2dVal_clusterV. + +# Arguments +- jets: Vector of EEJet objects representing jets +- D0: Vector of vectors containing D0 values (transverse impact parameters) +- phi0: Vector of vectors containing phi0 values (azimuthal angles at impact point) +- Bz: The magnetic field in Tesla + +# Returns +Vector of vectors of 2D signed impact parameter values (one vector per jet) +""" +function get_Sip2dVal_clusterV(jets::Vector{JetReconstruction.EEJet}, + D0::Vector{JetConstituentsData}, + phi0::Vector{JetConstituentsData}, + Bz::Float64) + + result = Vector{JetConstituentsData}() + + for i in eachindex(jets) + p = Vector2(jets[i].px, jets[i].py) + + sip2d_values = JetConstituentsData() + + for j in eachindex(D0[i]) + if D0[i][j] != -9.0f0 + # Calculate the 2D impact point vector + d0 = Vector2(-D0[i][j] * sin(phi0[i][j]), + D0[i][j] * cos(phi0[i][j])) + dot_product = d0.X * p.X + d0.Y * p.Y + + # Sign based on dot product and magnitude based on D0 + signed_ip = sign(dot_product) * abs(D0[i][j]) + + push!(sip2d_values, signed_ip) + else + push!(sip2d_values, -9.0f0) + end + end + + push!(result, sip2d_values) + end + + return result +end + + +""" + get_btagSip2dVal(jets::Vector{JetReconstruction.EEJet}, + pfcand_dxy::Vector{JetConstituentsData}, + pfcand_phi0::Vector{JetConstituentsData}, + Bz::Float64) -> Vector{JetConstituentsData} + +Call the implementation function get_Sip2dVal_clusterV +""" +function get_btagSip2dVal(jets::Vector{JetReconstruction.EEJet}, + pfcand_dxy::Vector{JetConstituentsData}, + pfcand_phi0::Vector{JetConstituentsData}, + Bz::Float64) + # Simply call the implementation function + return get_Sip2dVal_clusterV(jets, pfcand_dxy, pfcand_phi0, Bz) +end + +""" + get_Sip2dSig(Sip2dVals::Vector{JetConstituentsData}, + err2_D0::Vector{JetConstituentsData}) -> Vector{JetConstituentsData} + +Calculate the 2D signed impact parameter significance for each particle. +This is a Julia implementation of the C++ function get_Sip2dSig. + +# Arguments +- Sip2dVals: Vector of vectors containing 2D signed impact parameter values +- err2_D0: Vector of vectors containing squared errors of the D0 values + +# Returns +Vector of vectors of 2D signed impact parameter significances (one vector per jet) +""" +function get_Sip2dSig(Sip2dVals::Vector{JetConstituentsData}, + err2_D0::Vector{JetConstituentsData}) + + result = Vector{JetConstituentsData}() + + for i in eachindex(Sip2dVals) + sig_values = JetConstituentsData() + + for j in eachindex(Sip2dVals[i]) + # Only calculate significance if the error is positive + if j <= length(err2_D0[i]) && err2_D0[i][j] > 0.0 + # Calculate significance by dividing the value by its error + significance = Sip2dVals[i][j] / sqrt(err2_D0[i][j]) + push!(sig_values, significance) + else + # Invalid measurement + push!(sig_values, -9.0f0) + end + end + + push!(result, sig_values) + end + + return result +end + +""" + get_btagSip2dSig(pfcand_btagSip2dVal::Vector{JetConstituentsData}, + pfcand_dxydxy::Vector{JetConstituentsData}) -> Vector{JetConstituentsData} + +Call the implementation function get_Sip2dSig +""" +function get_btagSip2dSig(pfcand_btagSip2dVal::Vector{JetConstituentsData}, + pfcand_dxydxy::Vector{JetConstituentsData}) + # Simply call the implementation function + return get_Sip2dSig(pfcand_btagSip2dVal, pfcand_dxydxy) +end + +""" + get_Sip3dVal_clusterV(jets::Vector{JetReconstruction.EEJet}, + D0::Vector{JetConstituentsData}, + Z0::Vector{JetConstituentsData}, + phi0::Vector{JetConstituentsData}, + Bz::Float64) -> Vector{JetConstituentsData} + +Calculate the 3D signed impact parameter value for each particle relative to the jet axis. +""" +function get_Sip3dVal_clusterV(jets::Vector{JetReconstruction.EEJet}, + D0::Vector{JetConstituentsData}, + Z0::Vector{JetConstituentsData}, + phi0::Vector{JetConstituentsData}, + Bz::Float64) + result = Vector{JetConstituentsData}() + for i in eachindex(jets) + p = Vector3(jets[i].px, jets[i].py, jets[i].pz) + cprojs = JetConstituentsData() + + for j in eachindex(D0[i]) + if D0[i][j] != -9.0 + # Create 3D vector of displacement at point of closest approach + d = Vector3(-D0[i][j] * sin(phi0[i][j]), + D0[i][j] * cos(phi0[i][j]), + Z0[i][j]) + + # Sign the impact parameter based on the dot product with jet direction + # dot product in 3D + dot_prod = d.X * p.X + d.Y * p.Y + d.Z * p.Z + sign_val = dot_prod > 0.0 ? 1.0 : -1.0 + impact_val = sqrt(D0[i][j]^2 + Z0[i][j]^2) + cprojs_val = sign_val * impact_val + push!(cprojs, cprojs_val) + else + push!(cprojs, -9.0f0) + end + end + + push!(result, cprojs) + end + + return result +end + +function get_btagSip3dVal(jets::Vector{JetReconstruction.EEJet}, + pfcand_dxy::Vector{JetConstituentsData}, + pfcand_dz::Vector{JetConstituentsData}, + pfcand_phi0::Vector{JetConstituentsData}, + Bz::Float64) +# Simply call the implementation function +return get_Sip3dVal_clusterV(jets, pfcand_dxy, pfcand_dz, pfcand_phi0, Bz) +end +""" + get_Sip3dSig(Sip3dVals::Vector{JetConstituentsData}, + err2_D0::Vector{JetConstituentsData}, + err2_Z0::Vector{JetConstituentsData}) -> Vector{JetConstituentsData} + +Calculate the 3D signed impact parameter significance (value/error) for each particle. +""" +function get_Sip3dSig(Sip3dVals::Vector{JetConstituentsData}, + err2_D0::Vector{JetConstituentsData}, + err2_Z0::Vector{JetConstituentsData}) + result = Vector{JetConstituentsData}() + + for i in eachindex(Sip3dVals) + sigs = JetConstituentsData() # Changed to initialize sigs as a JetConstituentsData + + for j in eachindex(Sip3dVals[i]) + if err2_D0[i][j] > 0.0 + sig = Sip3dVals[i][j] / sqrt(err2_D0[i][j] + err2_Z0[i][j]) + push!(sigs, sig) + else + push!(sigs, -9.0f0) + end + end + + push!(result, sigs) + end + + return result +end + +function get_btagSip3dSig(Sip3dVals::Vector{JetConstituentsData}, + err2_D0::Vector{JetConstituentsData}, + err2_Z0::Vector{JetConstituentsData}) + # Simply call the implementation function + return get_Sip3dSig(Sip3dVals, err2_D0, err2_Z0) +end + +""" + get_JetDistVal_clusterV(jets::Vector{JetReconstruction.EEJet}, + jcs::Vector{JetConstituents}, + D0::Vector{JetConstituentsData}, + Z0::Vector{JetConstituentsData}, + phi0::Vector{JetConstituentsData}, + Bz::Float32) -> Vector{JetConstituentsData} + +Calculate the jet distance value for each particle, measuring the distance between +the point of closest approach and the jet axis. +""" +function get_JetDistVal_clusterV(jets::Vector{JetReconstruction.EEJet}, + jcs::Vector{JetConstituents}, + D0::Vector{JetConstituentsData}, + Z0::Vector{JetConstituentsData}, + phi0::Vector{JetConstituentsData}, + Bz::Float64) + result = Vector{JetConstituentsData}() + + for i in eachindex(jets) + # p_jet = Vector3(jets[i].px, jets[i].py, jets[i].pz) + p_jet = Vector3(jets[i].px, jets[i].py, jets[i].pz) + tmp = JetConstituentsData() + + for j in eachindex(D0[i]) + if D0[i][j] != -9.0 && j <= length(jcs[i]) + # Create 3D vector of displacement at point of closest approach + d = Vector3(-D0[i][j] * sin(phi0[i][j]), + D0[i][j] * cos(phi0[i][j]), + Z0[i][j]) + + # Calculate particle momentum + p_ct = Vector3(jcs[i][j].momentum.x, + jcs[i][j].momentum.y, + jcs[i][j].momentum.z) + + # Jet origin + r_jet = Vector3(0.0, 0.0, 0.0) + + # Normal vector to plane containing particle and jet momenta + n = v3_unit(v3_cross(p_ct, p_jet)) + + + # Distance is projection of displacement onto normal vector + dist = n.X * (d.X - r_jet.X) + + n.Y * (d.Y - r_jet.Y) + + n.Z * (d.Z - r_jet.Z) + + push!(tmp, dist) + else + push!(tmp, -9.0f0) + end + end + + push!(result, tmp) + end + + return result +end + +function get_btagJetDistVal(jets::Vector{JetReconstruction.EEJet}, + jcs::Vector{JetConstituents}, + D0::Vector{JetConstituentsData}, + Z0::Vector{JetConstituentsData}, + phi0::Vector{JetConstituentsData}, + Bz::Float64) + # Simply call the implementation functio + return get_JetDistVal_clusterV(jets, jcs, D0, Z0, phi0, Bz) +end + + +""" + get_JetDistSig(JetDistVal::Vector{JetConstituentsData}, + err2_D0::Vector{JetConstituentsData}, + err2_Z0::Vector{JetConstituentsData}) -> Vector{JetConstituentsData} + +Calculate the jet distance significance (value/error) for each particle. +""" +function get_JetDistSig(JetDistVal::Vector{JetConstituentsData}, + err2_D0::Vector{JetConstituentsData}, + err2_Z0::Vector{JetConstituentsData}) + result = Vector{JetConstituentsData}() + + for i in eachindex(JetDistVal) + tmp = JetConstituentsData() + + for j in eachindex(JetDistVal[i]) + if err2_D0[i][j] > 0.0 + # 3D error + err3d = sqrt(err2_D0[i][j] + err2_Z0[i][j]) + # Calculate significance + jetdistsig = JetDistVal[i][j] / err3d + push!(tmp, jetdistsig) + else + push!(tmp, -9.0f0) + end + end + + push!(result, tmp) + end + + return result +end + +function get_btagJetDistSig(JetDistVal::Vector{JetConstituentsData}, + err2_D0::Vector{JetConstituentsData}, + err2_Z0::Vector{JetConstituentsData}) + # Simply call the implementation function + return get_JetDistSig(JetDistVal, err2_D0, err2_Z0) +end +""" + count_jets(jets::Vector{JetConstituents}) -> Int + +Count the number of jets. +""" +function count_jets(jets::Vector{JetConstituents}) + return length(jets) +end + +""" + count_consts(jets::Vector{JetConstituents}) -> Vector{Int} + +Count the number of constituents in each jet. +""" +function count_consts(jets::Vector{JetConstituents}) + result = Vector{Int}() + + for i in eachindex(jets) + push!(result, length(jets[i])) + end + + return result +end + +""" + count_type(isType::Vector{JetConstituentsData}) -> Vector{Int} + +Count the number of particles of a specific type in each jet. +""" +function count_type(isType::Vector{JetConstituentsData}) + result = Vector{Int}() + + for i in eachindex(isType) + count = 0 + for j in eachindex(isType[i]) + if Int(isType[i][j]) == 1 + count += 1 + end + end + push!(result, count) + end + + return result +end diff --git a/ext/JetFlavourTagging/JetFlavourTagging.jl b/ext/JetFlavourTagging/JetFlavourTagging.jl new file mode 100644 index 00000000..c54528b4 --- /dev/null +++ b/ext/JetFlavourTagging/JetFlavourTagging.jl @@ -0,0 +1,72 @@ +module JetFlavourTagging + +using JetReconstruction +using EDM4hep +using JSON # TODO: Require to change this in main module +using ONNXRunTime +using StructArrays: StructVector +using LorentzVectorHEP + + +const JetConstituents = StructVector{ReconstructedParticle} +const JetConstituentsData = Vector{Float32} + +# Building jet constituents from the EDM4hep event +include("JetConstituentBuilder.jl") + +function JetReconstruction.build_constituents(jets::JetConstituents, + rps::Vector{EDM4hep.ReconstructedParticle}) + JetConstituentBuilder.build_constituents(jets, rps) +end + +function JetReconstruction.build_constituents_cluster(rps::JetConstituents, + indices::Vector{Vector{Int}}) + JetConstituentBuilder.build_constituents_cluster(rps, indices) +end + +function JetReconstruction.get_jet_constituents(csts::Vector{JetConstituents}, jet::Int) + JetConstituentBuilder.get_jet_constituents(csts, jet) +end + +function JetReconstruction.get_constituents(csts::Vector{JetConstituents}, jets::Vector{Int}) + JetConstituentBuilder.get_constituents(csts, jets) +end + +# Helper functions that talk with the ONNX model +include("JetFlavourHelper.jl") + +# extract_features, setup_weaver, prepare_input_tensor, get_weights, get_weight +function JetReconstruction.extract_features(jets::Vector{EEJet}, jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + tracks::StructVector{EDM4hep.TrackState}, bz::Float64 = 2.0, + track_L::Vector{Float32}=Float32[], + trackdata::StructVector{EDM4hep.Track}=StructVector{EDM4hep.Track}(), + trackerhits::StructVector{EDM4hep.TrackerHit}=StructVector{EDM4hep.TrackerHit}(), + gammadata::StructVector{EDM4hep.Cluster}=StructVector{EDM4hep.Cluster}(), + nhdata::StructVector{EDM4hep.Cluster}=StructVector{EDM4hep.Cluster}(), + calohits::StructVector{EDM4hep.CalorimeterHit}=StructVector{EDM4hep.CalorimeterHit}(), + dNdx::StructVector{EDM4hep.Quantity}=StructVector{EDM4hep.Quantity}()) + return JetFlavourHelper.extract_features(jets, jcs, tracks, bz, track_L, trackdata, trackerhits, gammadata, nhdata, calohits, dNdx) +end + +function JetReconstruction.setup_weaver(onnx_path::String, json_path::String) + return JetFlavourHelper.setup_weaver(onnx_path, json_path) # TODO: Change this to setup_onnx_runtime +end + +function JetReconstruction.prepare_input_tensor(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + jets::Vector{EEJet}, + config::Dict, + feature_data::Dict) + return JetFlavourHelper.prepare_input_tensor(jcs, jets, config, feature_data) +end + +function JetReconstruction.get_weights(slot::Int, vars::Dict{String, Dict{String, Vector{Vector{Float32}}}}, + jets::Vector{EEJet}, jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + json_config::Dict, model::ONNXRunTime.InferenceSession) + return JetFlavourHelper.get_weights(slot, vars, jets, jcs, json_config, model) +end + +function JetReconstruction.get_weight(jet_weights::Vector{Vector{Float32}}, weight_idx::Int) + return JetFlavourHelper.get_weight(jet_weights, weight_idx) +end + +end # module JetFlavourTagging \ No newline at end of file diff --git a/src/JetReconstruction.jl b/src/JetReconstruction.jl index 05ce60ea..1b29d3f4 100644 --- a/src/JetReconstruction.jl +++ b/src/JetReconstruction.jl @@ -93,6 +93,19 @@ function jetsplot() end function animatereco() end export jetsplot, animatereco +# Jet flavour tagging as an extension +function build_constituents() end +function build_constituents_cluster() end +function get_jet_constituents() end +function get_constituents() end +export build_constituents, build_constituents_cluster, get_jet_constituents, get_constituents +function extract_features() end +function setup_weaver() end # TODO: Change this to setup_onnx_runtime +function prepare_input_tensor() end +function get_weights() end +function get_weight() end +export extract_features, setup_weaver, prepare_input_tensor, get_weights, get_weight + # JSON results include("JSONresults.jl") export FinalJet, FinalJets From 970f7087799c21df64508125eab2ef3773848e0a Mon Sep 17 00:00:00 2001 From: Harry Date: Wed, 4 Jun 2025 02:10:24 -0400 Subject: [PATCH 02/47] Add ONNX to compat --- Project.toml | 1 + 1 file changed, 1 insertion(+) diff --git a/Project.toml b/Project.toml index 0175375d..a21ac8b4 100644 --- a/Project.toml +++ b/Project.toml @@ -37,6 +37,7 @@ LoopVectorization = "0.12.170" LorentzVectorHEP = "0.1.6" Makie = "0.20, 0.21, 0.22" MuladdMacro = "0.2.4" +ONNXRunTime = "1.3.1" StructArrays = "0.6.18, 0.7" Test = "1.9" julia = "1.9" From 6bea82e3b5235fb379e69cca33a75dfbf8260e9a Mon Sep 17 00:00:00 2001 From: Harry Date: Wed, 4 Jun 2025 02:46:49 -0400 Subject: [PATCH 03/47] Update JetReconstruction.jl to fix the formatting. Check if the latest update of JetReconstruction.jl fixed the formatting for this file --- src/JetReconstruction.jl | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/src/JetReconstruction.jl b/src/JetReconstruction.jl index 1b29d3f4..e68e5b06 100644 --- a/src/JetReconstruction.jl +++ b/src/JetReconstruction.jl @@ -93,12 +93,15 @@ function jetsplot() end function animatereco() end export jetsplot, animatereco -# Jet flavour tagging as an extension +# Jet flavour tagging as an extension: Constituents function build_constituents() end function build_constituents_cluster() end function get_jet_constituents() end function get_constituents() end -export build_constituents, build_constituents_cluster, get_jet_constituents, get_constituents +export build_constituents, build_constituents_cluster, + get_jet_constituents, get_constituents + +# Jet flavour tagging as an extension: ONNX RunTime function extract_features() end function setup_weaver() end # TODO: Change this to setup_onnx_runtime function prepare_input_tensor() end From d5ccbbc3197b6342c86b7bb05c2ec1d1f4a95b53 Mon Sep 17 00:00:00 2001 From: Harry Date: Thu, 5 Jun 2025 14:50:24 -0400 Subject: [PATCH 04/47] Add ONNX part; changes for better efficiency New Files: ONNX inference (JetFlavourHelper) Changes: 1. Update build_constituents_cluster 2. Changed Bz to Float32 (same as EDM4hep) 3. Changed Track_L to AbstractArray{AbstractFloat} where we don't need to copy but just view the track_L (more efficient) --- .../JetConstituentBuilder.jl | 17 +- ext/JetFlavourTagging/JetConstituentUtils.jl | 34 +- ext/JetFlavourTagging/JetFlavourHelper.jl | 481 ++++++++++++++++++ ext/JetFlavourTagging/JetFlavourTagging.jl | 4 +- 4 files changed, 503 insertions(+), 33 deletions(-) create mode 100644 ext/JetFlavourTagging/JetFlavourHelper.jl diff --git a/ext/JetFlavourTagging/JetConstituentBuilder.jl b/ext/JetFlavourTagging/JetConstituentBuilder.jl index 7b1090e5..42336d40 100644 --- a/ext/JetFlavourTagging/JetConstituentBuilder.jl +++ b/ext/JetFlavourTagging/JetConstituentBuilder.jl @@ -38,25 +38,14 @@ Build the collection of constituents using cluster indices. # Returns A vector of JetConstituents, each containing the constituents for a specific cluster. """ -function build_constituents_cluster(rps::JetConstituents, - indices::Vector{Vector{Int}}) +function build_constituents_cluster(rps::JetConstituents, indices::Vector{Vector{Int}}) jcs = Vector{JetConstituents}() for jet_indices in indices - # Adjust 0-based indices if needed - julia_indices = [idx >= 0 ? idx+1 : idx for idx in jet_indices] - # Filter out invalid indices - valid_indices = filter(idx -> idx > 0 && idx <= length(rps), julia_indices) - if !isempty(valid_indices) - constituents = rps[valid_indices] - push!(jcs, constituents) - else - empty_constituents = StructVector{EDM4hep.ReconstructedParticle}(similar.(fieldarrays(rps), 0)) - push!(jcs, empty_constituents) - end + jc = rps[jet_indices] + push!(jcs, jc) end return jcs end - """ get_jet_constituents(csts::Vector{JetConstituents}, jet::Int) -> JetConstituents diff --git a/ext/JetFlavourTagging/JetConstituentUtils.jl b/ext/JetFlavourTagging/JetConstituentUtils.jl index a196b3b8..9eed3fe0 100644 --- a/ext/JetFlavourTagging/JetConstituentUtils.jl +++ b/ext/JetFlavourTagging/JetConstituentUtils.jl @@ -266,7 +266,7 @@ end """ get_phi0(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, tracks::StructVector{EDM4hep.TrackState}, - V::LorentzVector, Bz::Float64) -> Vector{JetConstituentsData} + V::LorentzVector, Bz::Float32) -> Vector{JetConstituentsData} Calculate the phi angle at the point of closest approach for each particle relative to vertex V. This is a Julia implementation of the C++ function XPtoPar_phi. @@ -282,7 +282,7 @@ Vector of vectors of phi values (one vector per jet) """ function get_phi0(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, tracks::StructVector{EDM4hep.TrackState}, - V::LorentzVector, Bz::Float64) + V::LorentzVector, Bz::Float32) cSpeed = 2.99792458e8 * 1.0e-9 @@ -345,7 +345,7 @@ end """ get_dxy(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, tracks::StructVector{EDM4hep.TrackState}, - V::LorentzVector, Bz::Float64) -> Vector{JetConstituentsData} + V::LorentzVector, Bz::Float32) -> Vector{JetConstituentsData} Calculate the transverse impact parameter dxy for each particle in each jet relative to vertex V. Reference: FCCAnalyses c++ function XPtoPar_dxy, adapted for jet constituents. @@ -361,7 +361,7 @@ Vector of vectors of dxy values (one vector per jet) """ function get_dxy(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, tracks::StructVector{EDM4hep.TrackState}, - V::LorentzVector, Bz::Float64) + V::LorentzVector, Bz::Float32) cSpeed = 2.99792458e8 * 1.0e-9 # Speed of light in m/ns @@ -421,7 +421,7 @@ end """ get_dz(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, tracks::StructVector{EDM4hep.TrackState}, - V::LorentzVector, Bz::Float64) -> Vector{JetConstituentsData} + V::LorentzVector, Bz::Float32) -> Vector{JetConstituentsData} Calculate the longitudinal impact parameter dz for each particle in each jet relative to vertex V. Reference: FCCAnalyses c++ function XPtoPar_dz, adapted for jet constituents. @@ -437,7 +437,7 @@ Vector of vectors of dz values (one vector per jet) """ function get_dz(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, tracks::StructVector{EDM4hep.TrackState}, - V::LorentzVector, Bz::Float64) + V::LorentzVector, Bz::Float32) cSpeed = 2.99792458e8 * 1.0e-9 # Speed of light in m/ns @@ -1349,7 +1349,7 @@ end """ get_mtof(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, - track_L::JetConstituentsData, + track_L::AbstractArray{T} where T <: AbstractFloat, trackdata::StructVector{EDM4hep.Track}, trackerhits::StructVector{EDM4hep.TrackerHit}, gammadata::StructVector{EDM4hep.Cluster}, @@ -1374,7 +1374,7 @@ This is a Julia implementation of the C++ function get_mtof. Vector of vectors of mtof values (one vector per jet) """ function get_mtof(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, - track_L::JetConstituentsData, + track_L::AbstractArray{T} where T <: AbstractFloat, trackdata::StructVector{EDM4hep.Track}, trackerhits::StructVector{EDM4hep.TrackerHit}, gammadata::StructVector{EDM4hep.Cluster}, @@ -1600,7 +1600,7 @@ end get_Sip2dVal_clusterV(jets::Vector{JetReconstruction.EEJet}, D0::Vector{JetConstituentsData}, phi0::Vector{JetConstituentsData}, - Bz::Float64) -> Vector{JetConstituentsData} + Bz::Float32) -> Vector{JetConstituentsData} Calculate the 2D signed impact parameter value for each particle relative to the jet axis. This is a Julia implementation of the C++ function get_Sip2dVal_clusterV. @@ -1617,7 +1617,7 @@ Vector of vectors of 2D signed impact parameter values (one vector per jet) function get_Sip2dVal_clusterV(jets::Vector{JetReconstruction.EEJet}, D0::Vector{JetConstituentsData}, phi0::Vector{JetConstituentsData}, - Bz::Float64) + Bz::Float32) result = Vector{JetConstituentsData}() @@ -1653,14 +1653,14 @@ end get_btagSip2dVal(jets::Vector{JetReconstruction.EEJet}, pfcand_dxy::Vector{JetConstituentsData}, pfcand_phi0::Vector{JetConstituentsData}, - Bz::Float64) -> Vector{JetConstituentsData} + Bz::Float32) -> Vector{JetConstituentsData} Call the implementation function get_Sip2dVal_clusterV """ function get_btagSip2dVal(jets::Vector{JetReconstruction.EEJet}, pfcand_dxy::Vector{JetConstituentsData}, pfcand_phi0::Vector{JetConstituentsData}, - Bz::Float64) + Bz::Float32) # Simply call the implementation function return get_Sip2dVal_clusterV(jets, pfcand_dxy, pfcand_phi0, Bz) end @@ -1722,7 +1722,7 @@ end D0::Vector{JetConstituentsData}, Z0::Vector{JetConstituentsData}, phi0::Vector{JetConstituentsData}, - Bz::Float64) -> Vector{JetConstituentsData} + Bz::Float32) -> Vector{JetConstituentsData} Calculate the 3D signed impact parameter value for each particle relative to the jet axis. """ @@ -1730,7 +1730,7 @@ function get_Sip3dVal_clusterV(jets::Vector{JetReconstruction.EEJet}, D0::Vector{JetConstituentsData}, Z0::Vector{JetConstituentsData}, phi0::Vector{JetConstituentsData}, - Bz::Float64) + Bz::Float32) result = Vector{JetConstituentsData}() for i in eachindex(jets) p = Vector3(jets[i].px, jets[i].py, jets[i].pz) @@ -1765,7 +1765,7 @@ function get_btagSip3dVal(jets::Vector{JetReconstruction.EEJet}, pfcand_dxy::Vector{JetConstituentsData}, pfcand_dz::Vector{JetConstituentsData}, pfcand_phi0::Vector{JetConstituentsData}, - Bz::Float64) + Bz::Float32) # Simply call the implementation function return get_Sip3dVal_clusterV(jets, pfcand_dxy, pfcand_dz, pfcand_phi0, Bz) end @@ -1822,7 +1822,7 @@ function get_JetDistVal_clusterV(jets::Vector{JetReconstruction.EEJet}, D0::Vector{JetConstituentsData}, Z0::Vector{JetConstituentsData}, phi0::Vector{JetConstituentsData}, - Bz::Float64) + Bz::Float32) result = Vector{JetConstituentsData}() for i in eachindex(jets) @@ -1871,7 +1871,7 @@ function get_btagJetDistVal(jets::Vector{JetReconstruction.EEJet}, D0::Vector{JetConstituentsData}, Z0::Vector{JetConstituentsData}, phi0::Vector{JetConstituentsData}, - Bz::Float64) + Bz::Float32) # Simply call the implementation functio return get_JetDistVal_clusterV(jets, jcs, D0, Z0, phi0, Bz) end diff --git a/ext/JetFlavourTagging/JetFlavourHelper.jl b/ext/JetFlavourTagging/JetFlavourHelper.jl new file mode 100644 index 00000000..5ddbf7ac --- /dev/null +++ b/ext/JetFlavourTagging/JetFlavourHelper.jl @@ -0,0 +1,481 @@ +module JetFlavourHelper + +using JSON +using ONNXRunTime +# using StaticArrays +# using LinearAlgebra +using StructArrays: StructVector +## using JetReconstruction # not needed when included in JetReconstruction module +using EDM4hep +using LorentzVectorHEP + +# Utility functions for the jet features from EDM4hep +include("JetConstituentUtils.jl") +# include("ReconstructedParticle.jl") + +""" + JetFlavourHelper + +A module for jet flavor identification using neural networks. +""" + +""" + setup_weaver(onnx_path::String, json_path::String) -> ONNXRunTime.InferenceSession + +Setup the ONNX model and preprocessing configuration for jet flavor tagging. + +# Arguments +- `onnx_path`: Path to the ONNX model file +- `json_path`: Path to the JSON configuration file + +# Returns +An ONNX inference session for the loaded model +""" +function setup_weaver(onnx_path::String, json_path::String) + # Load JSON configuration + config = JSON.parsefile(json_path) + + model = ONNXRunTime.load_inference(onnx_path) + + return model, config +end + +""" + normalize_feature(value::Float32, info::Dict) -> Float32 + +Normalize a feature value based on the preprocessing information. + +# Arguments +- `value`: Raw feature value +- `info`: Dictionary containing normalization parameters + +# Returns +Normalized feature value +""" +function normalize_feature(value::Float32, info::Dict) + if value == -9.0f0 + return 0.0f0 # Replace -9.0 (missing value) with 0 + end + + # Apply normalization using median and norm_factor + normalized = (value - info["median"]) * info["norm_factor"] + + # Clamp to specified bounds + return clamp(normalized, info["lower_bound"], info["upper_bound"]) +end + +""" + prepare_input_tensor(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + jets::Vector{EEJet}, + config::Dict, + feature_data::Dict) -> Dict{String, Array} + +Prepare input tensors for the neural network from jet constituents. + +# Arguments +- `jcs`: Vector of jet constituents (structured as a vector of StructVector of ReconstructedParticle) +- `jets`: Vector of jets (EEJet) +- `config`: JSON configuration for preprocessing +- `feature_data`: Dictionary containing all extracted features + +# Returns +Dictionary of input tensors +""" +function prepare_input_tensor(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + jets::Vector{EEJet}, + config::Dict, + feature_data::Dict) + + # Get input names and variable info + input_names = config["input_names"] + + # Initialize input tensor dictionary + input_tensors = Dict{String, Array{Float32}}() + + # Get max length for padding + max_length = config["pf_points"]["var_length"] + + # Process each jet + for (i, jet) in enumerate(jets) + # Initialize tensors + if i == 1 + # Initialize tensor shapes based on config + for input_name in input_names + if input_name == "pf_features" + feature_vars = length(config[input_name]["var_names"]) + input_tensors[input_name] = zeros(Float32, 1, feature_vars, max_length) + # elseif input_name == "pf_points" + # points_vars = length(config[input_name]["var_names"]) + # input_tensors[input_name] = zeros(Float32, 1, points_vars, max_length) + elseif input_name == "pf_vectors" + vector_vars = length(config[input_name]["var_names"]) + input_tensors[input_name] = zeros(Float32, 1, vector_vars, max_length) + elseif input_name == "pf_mask" + input_tensors[input_name] = zeros(Float32, 1, 1, max_length) + end + end + end + + # Fill each tensor for this jet + constituents = jcs[i] + num_constituents = min(length(constituents), max_length) + + # Fill mask (1 for valid constituents, 0 for padding) + if haskey(feature_data, "pf_mask") + for j in 1:num_constituents + input_tensors["pf_mask"][1, 1, j] = 1.0f0 + end + end + + # Fill points + if haskey(feature_data, "pf_points") && haskey(input_tensors, "pf_points") + for (var_idx, var_name) in enumerate(config["pf_points"]["var_names"]) + var_info = config["pf_points"]["var_infos"][var_name] + + for j in 1:num_constituents + if j <= length(feature_data["pf_points"][var_name][i]) + raw_value = feature_data["pf_points"][var_name][i][j] + norm_value = normalize_feature(raw_value, var_info) + input_tensors["pf_points"][1, var_idx, j] = norm_value + end + end + end + end + + # Fill features + if haskey(feature_data, "pf_features") && haskey(input_tensors, "pf_features") + for (var_idx, var_name) in enumerate(config["pf_features"]["var_names"]) + var_info = config["pf_features"]["var_infos"][var_name] + + for j in 1:num_constituents + if haskey(feature_data["pf_features"], var_name) && + j <= length(feature_data["pf_features"][var_name][i]) + raw_value = feature_data["pf_features"][var_name][i][j] + norm_value = normalize_feature(raw_value, var_info) + input_tensors["pf_features"][1, var_idx, j] = norm_value + end + end + end + end + + # Fill vectors (energies, momenta) + if haskey(feature_data, "pf_vectors") && haskey(input_tensors, "pf_vectors") + for (var_idx, var_name) in enumerate(config["pf_vectors"]["var_names"]) + for j in 1:num_constituents + if haskey(feature_data["pf_vectors"], var_name) && + j <= length(feature_data["pf_vectors"][var_name][i]) + input_tensors["pf_vectors"][1, var_idx, j] = feature_data["pf_vectors"][var_name][i][j] + end + end + end + end + end + + return input_tensors +end + +""" + get_weights(slot::Int, vars::Dict{String, Vector{Vector{Float32}}}, + jets::Vector{EEJet}, json_config::Dict, model::ONNXRunTime.InferenceSession) -> Vector{Vector{Float32}} + +Compute jet flavor probabilities for each jet. + +# Arguments +- `slot`: Threading slot +- `vars`: Dictionary containing all features for jet constituents +- `jets`: Vector of jets +- `json_config`: JSON configuration for preprocessing +- `model`: ONNX inference session + +# Returns +Vector of flavor probabilities for each jet +""" +function get_weights(slot::Int, vars::Dict{String, Dict{String, Vector{Vector{Float32}}}}, + jets::Vector{EEJet}, jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + json_config::Dict, model::ONNXRunTime.InferenceSession) + + # Prepare input tensor + input_tensors = prepare_input_tensor(jcs, jets, json_config, vars) + + # Run inference + output = model(input_tensors) + + # Extract probabilities + probabilities = output["softmax"] + + # Convert to desired output format (one vector per jet) + result = Vector{Vector{Float32}}() + + # Reshape output to get probabilities for each jet + num_classes = size(probabilities, 2) + for i in 1:length(jets) + jet_probs = Vector{Float32}(undef, num_classes) + for c in 1:num_classes + jet_probs[c] = probabilities[1, c] + end + push!(result, jet_probs) + end + + return result +end + +""" + get_weight(jet_weights::Vector{Vector{Float32}}, weight_idx::Int) -> Vector{Float32} + +Extract a specific weight/score from the jet weights. + +# Arguments +- `jet_weights`: Vector of weight vectors for each jet +- `weight_idx`: Index of the weight to extract + +# Returns +Vector of the specified weight for each jet +""" +function get_weight(jet_weights::Vector{Vector{Float32}}, weight_idx::Int) + if weight_idx < 0 + error("Invalid index requested for jet flavour weight.") + end + + result = Vector{Float32}() + + for jet_weight in jet_weights + if weight_idx >= length(jet_weight) + error("Flavour weight index exceeds the number of weights registered.") + end + + push!(result, jet_weight[weight_idx + 1]) # +1 for Julia's 1-based indexing + end + + return result +end + +""" + inference(json_config_path::String, onnx_model_path::String, df::DataFrame, + jets::Vector{EEJet}, jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + feature_data::Dict) -> DataFrame + +Run flavor tagging inference on a collection of jets. + +# Arguments +- `json_config_path`: Path to the JSON configuration file +- `onnx_model_path`: Path to the ONNX model file +- `jets`: Vector of jets +- `jcs`: Vector of jet constituents +- `feature_data`: Dictionary containing all extracted features + +# Returns +DataFrame with added flavor tagging scores +""" +function inference(json_config_path::String, onnx_model_path::String, + jets::Vector{EEJet}, jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + feature_data::Dict) + + # Extract input variables/score names from JSON file + initvars = String[] + variables = String[] + scores = String[] + + config = JSON.parsefile(json_config_path) + + # Extract feature names + for varname in config["pf_features"]["var_names"] + push!(initvars, varname) + push!(variables, varname) + end + + # Extract vector names + for varname in config["pf_vectors"]["var_names"] + push!(initvars, varname) + push!(variables, varname) + end + + # Extract output names + for scorename in config["output_names"] + push!(scores, scorename) + end + + # Setup model + model, _ = setup_weaver(onnx_model_path, json_config_path, initvars) + + # Run inference + weights = get_weights(0, feature_data, jets, jcs, config, model) + + # Extract individual scores + jet_scores = Dict{String, Vector{Float32}}() + + for (i, scorename) in enumerate(scores) + jet_scores[scorename] = get_weight(weights, i-1) # Adjust for 0-based indexing in get_weight + end + + return jet_scores +end + +# TODO: Update the arguements +# TODO: Add primary vertex as an argument (from MC Particle) +""" + extract_features(jets::Vector{EEJet}, jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + tracks::StructVector{EDM4hep.TrackState}, bz::Float32, + track_L::AbstractArray{T} where T <: AbstractFloat, + trackdata::StructVector{EDM4hep.Track}=StructVector{EDM4hep.Track}(), + trackerhits::StructVector{EDM4hep.TrackerHit}=StructVector{EDM4hep.TrackerHit}(), + gammadata::StructVector{EDM4hep.Cluster}=StructVector{EDM4hep.Cluster}(), + nhdata::StructVector{EDM4hep.Cluster}=StructVector{EDM4hep.Cluster}(), + calohits::StructVector{EDM4hep.CalorimeterHit}=StructVector{EDM4hep.CalorimeterHit}(), + dNdx::StructVector{EDM4hep.Quantity}=StructVector{EDM4hep.Quantity}()) -> Dict + +Extract all required features for jet flavor tagging. + +# Arguments +- `jets`: Vector of jets (EEJet) +- `jcs`: Vector of jet constituents +- `tracks`: StructVector of track states +- `bz`: Magnetic field strength +- Various optional collections required for specific features + +# Returns +Dictionary containing all extracted features organized by input type +""" +function extract_features(jets::Vector{EEJet}, jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + tracks::StructVector{EDM4hep.TrackState}, bz::Float32, + track_L::AbstractArray{T} where T <: AbstractFloat, + trackdata::StructVector{EDM4hep.Track}=StructVector{EDM4hep.Track}(), + trackerhits::StructVector{EDM4hep.TrackerHit}=StructVector{EDM4hep.TrackerHit}(), + gammadata::StructVector{EDM4hep.Cluster}=StructVector{EDM4hep.Cluster}(), + nhdata::StructVector{EDM4hep.Cluster}=StructVector{EDM4hep.Cluster}(), + calohits::StructVector{EDM4hep.CalorimeterHit}=StructVector{EDM4hep.CalorimeterHit}(), + dNdx::StructVector{EDM4hep.Quantity}=StructVector{EDM4hep.Quantity}()) + + # Primary vertex (0,0,0,0) for displacement calculations + # TODO: Replace with actual primary vertex if available. Right now, the EDM4hep has bugs that don't allow me to get the f32 value. + v_in = LorentzVector(0.0, 0.0, 0.0, 0.0) + + # Initialize feature containers + features = Dict{String, Dict{String, Vector{Vector{Float32}}}}() + + # Initialize sub-dictionaries + features["pf_points"] = Dict{String, Vector{Vector{Float32}}}() + features["pf_features"] = Dict{String, Vector{Vector{Float32}}}() + features["pf_vectors"] = Dict{String, Vector{Vector{Float32}}}() + features["pf_mask"] = Dict{String, Vector{Vector{Float32}}}() + + # Extract basic features + + # Points (spatial coordinates) + thetarel = get_thetarel_cluster(jets, jcs) + phirel = get_phirel_cluster(jets, jcs) + + features["pf_points"]["pfcand_thetarel"] = thetarel + features["pf_points"]["pfcand_phirel"] = phirel + + # Extract PF features + erel_log = get_erel_log_cluster(jets, jcs) + features["pf_features"]["pfcand_erel_log"] = erel_log + features["pf_features"]["pfcand_thetarel"] = thetarel + features["pf_features"]["pfcand_phirel"] = phirel + + # Track parameters and covariance matrices + dxy = get_dxy(jcs, tracks, v_in, bz) + dz = get_dz(jcs, tracks, v_in, bz) + phi0 = get_phi0(jcs, tracks, v_in, bz) + dptdpt = get_dptdpt(jcs, tracks) + detadeta = get_detadeta(jcs, tracks) + dphidphi = get_dphidphi(jcs, tracks) + dxydxy = get_dxydxy(jcs, tracks) + dzdz = get_dzdz(jcs, tracks) + dxydz = get_dxydz(jcs, tracks) + dphidxy = get_dphidxy(jcs, tracks) + dlambdadz = get_dlambdadz(jcs, tracks) + dxyc = get_dxyc(jcs, tracks) + dxyctgtheta = get_dxyctgtheta(jcs, tracks) + phic = get_phic(jcs, tracks) + phidz = get_phidz(jcs, tracks) + phictgtheta = get_phictgtheta(jcs, tracks) + cdz = get_cdz(jcs, tracks) + cctgtheta = get_cctgtheta(jcs, tracks) + + # Add track parameters to features + features["pf_features"]["pfcand_dptdpt"] = dptdpt + features["pf_features"]["pfcand_detadeta"] = detadeta + features["pf_features"]["pfcand_dphidphi"] = dphidphi + features["pf_features"]["pfcand_dxydxy"] = dxydxy + features["pf_features"]["pfcand_dzdz"] = dzdz + features["pf_features"]["pfcand_dxydz"] = dxydz + features["pf_features"]["pfcand_dphidxy"] = dphidxy + features["pf_features"]["pfcand_dlambdadz"] = dlambdadz + features["pf_features"]["pfcand_dxyc"] = dxyc + features["pf_features"]["pfcand_dxyctgtheta"] = dxyctgtheta + features["pf_features"]["pfcand_phic"] = phic + features["pf_features"]["pfcand_phidz"] = phidz + features["pf_features"]["pfcand_phictgtheta"] = phictgtheta + features["pf_features"]["pfcand_cdz"] = cdz + features["pf_features"]["pfcand_cctgtheta"] = cctgtheta + + # Particle ID + jcs_isChargedHad = get_isChargedHad(jcs) + + # Time-of-flight and dE/dx if data available + if !isempty(track_L) && !isempty(trackdata) && !isempty(trackerhits) && + !isempty(gammadata) && !isempty(nhdata) && !isempty(calohits) + mtof = get_mtof(jcs, track_L, trackdata, trackerhits, gammadata, nhdata, calohits, v_in) + features["pf_features"]["pfcand_mtof"] = mtof + else + # Empty vectors if data not available + features["pf_features"]["pfcand_mtof"] = [Float32[] for _ in 1:length(jets)] + end + + if !isempty(dNdx) && !isempty(trackdata) + dndx_vals = get_dndx(jcs, dNdx, trackdata, jcs_isChargedHad) + features["pf_features"]["pfcand_dndx"] = dndx_vals + else + features["pf_features"]["pfcand_dndx"] = [Float32[] for _ in 1:length(jets)] + end + + # Particle type information + charge = get_charge(jcs) + isMu = get_isMu(jcs) + isEl = get_isEl(jcs) + isChargedHad = jcs_isChargedHad + isGamma = get_isGamma(jcs) + isNeutralHad = get_isNeutralHad(jcs) + + features["pf_features"]["pfcand_charge"] = charge + features["pf_features"]["pfcand_isMu"] = isMu + features["pf_features"]["pfcand_isEl"] = isEl + features["pf_features"]["pfcand_isChargedHad"] = isChargedHad + features["pf_features"]["pfcand_isGamma"] = isGamma + features["pf_features"]["pfcand_isNeutralHad"] = isNeutralHad + + # Displacement variables + features["pf_features"]["pfcand_dxy"] = dxy + features["pf_features"]["pfcand_dz"] = dz + + # B-tagging variables + btagSip2dVal = get_btagSip2dVal(jets, dxy, phi0, bz) + btagSip2dSig = get_btagSip2dSig(btagSip2dVal, dxydxy) + btagSip3dVal = get_btagSip3dVal(jets, dxy, dz, phi0, bz) + btagSip3dSig = get_btagSip3dSig(btagSip3dVal, dxydxy, dzdz) + btagJetDistVal = get_btagJetDistVal(jets, jcs, dxy, dz, phi0, bz) + btagJetDistSig = get_btagJetDistSig(btagJetDistVal, dxydxy, dzdz) + + features["pf_features"]["pfcand_btagSip2dVal"] = btagSip2dVal + features["pf_features"]["pfcand_btagSip2dSig"] = btagSip2dSig + features["pf_features"]["pfcand_btagSip3dVal"] = btagSip3dVal + features["pf_features"]["pfcand_btagSip3dSig"] = btagSip3dSig + features["pf_features"]["pfcand_btagJetDistVal"] = btagJetDistVal + features["pf_features"]["pfcand_btagJetDistSig"] = btagJetDistSig + + # Vector features (energy and momentum) + e = get_e(jcs) + p = get_p(jcs) + + features["pf_vectors"]["pfcand_e"] = e + features["pf_vectors"]["pfcand_p"] = p + + # Add mask (all 1s for real particles, 0s for padding) + mask = [fill(1.0f0, length(constituents)) for constituents in jcs] + features["pf_mask"]["pfcand_mask"] = mask + + return features +end + +end # module \ No newline at end of file diff --git a/ext/JetFlavourTagging/JetFlavourTagging.jl b/ext/JetFlavourTagging/JetFlavourTagging.jl index c54528b4..7fa9899f 100644 --- a/ext/JetFlavourTagging/JetFlavourTagging.jl +++ b/ext/JetFlavourTagging/JetFlavourTagging.jl @@ -37,8 +37,8 @@ include("JetFlavourHelper.jl") # extract_features, setup_weaver, prepare_input_tensor, get_weights, get_weight function JetReconstruction.extract_features(jets::Vector{EEJet}, jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, - tracks::StructVector{EDM4hep.TrackState}, bz::Float64 = 2.0, - track_L::Vector{Float32}=Float32[], + tracks::StructVector{EDM4hep.TrackState}, bz::Float32 = 2.0f0, + track_L::AbstractArray{T} where T <: AbstractFloat, trackdata::StructVector{EDM4hep.Track}=StructVector{EDM4hep.Track}(), trackerhits::StructVector{EDM4hep.TrackerHit}=StructVector{EDM4hep.TrackerHit}(), gammadata::StructVector{EDM4hep.Cluster}=StructVector{EDM4hep.Cluster}(), From 087bbc4948a945a3423d6fc106cef67aa478ea35 Mon Sep 17 00:00:00 2001 From: Harry Date: Fri, 6 Jun 2025 04:52:45 -0400 Subject: [PATCH 05/47] Updated Jet Constituent Builder --- .../JetConstituentBuilder.jl | 42 +++++++++++-------- 1 file changed, 24 insertions(+), 18 deletions(-) diff --git a/ext/JetFlavourTagging/JetConstituentBuilder.jl b/ext/JetFlavourTagging/JetConstituentBuilder.jl index 42336d40..daf815aa 100644 --- a/ext/JetFlavourTagging/JetConstituentBuilder.jl +++ b/ext/JetFlavourTagging/JetConstituentBuilder.jl @@ -9,25 +9,14 @@ const JetConstituentsData = Vector{Float32} """ build_constituents(jets::JetConstituents, - rps::Vector{EDM4hep.ReconstructedParticle}) -> Vector{JetConstituents} + rps::JetConstituents) -> Vector{JetConstituents} Build the collection of constituents (mapping jet -> reconstructed particles) for all jets in event. # Returns A vector of JetConstituents, each containing the constituents for a specific jet. """ -function build_constituents(jets::JetConstituents, - rps::Vector{EDM4hep.ReconstructedParticle}) - jcs = Vector{JetConstituents}() - for jet in jets - constituents = JetConstituents() - for i in jet.particles_begin:jet.particles_end-1 - push!(constituents, rps[i+1]) # Julia uses 1-based indexing - end - push!(jcs, constituents) - end - return jcs -end +# TODO: Fix this function to be interpolate with Julia pipeline. Specificly, what would be the input jets? """ build_constituents_cluster(rps::JetConstituents, @@ -35,6 +24,10 @@ end Build the collection of constituents using cluster indices. +# Arguments +- rps: a vector of `JetConstituents` representing reconstructed particles. +- indices: a vector of vectors, where each inner vector contains indices of particles for a specific cluster. + # Returns A vector of JetConstituents, each containing the constituents for a specific cluster. """ @@ -46,31 +39,44 @@ function build_constituents_cluster(rps::JetConstituents, indices::Vector{Vector end return jcs end + """ get_jet_constituents(csts::Vector{JetConstituents}, jet::Int) -> JetConstituents Retrieve the constituents of an indexed jet in the event. +# Arguments +- csts: constituents collection, a vector of `JetConstituents`. +- jet: the index of the jet for which to retrieve constituents (1-based index) # Returns The constituents of the specified jet, or an empty collection if the jet index is invalid. """ function get_jet_constituents(csts::Vector{JetConstituents}, jet::Int) - if jet < 0 + if jet < 1 # Julia's 1-indexing. return JetConstituents() end - return csts[jet+1] # Julia uses 1-based indexing + return csts[jet] end """ get_constituents(csts::Vector{JetConstituents}, jets::Vector{Int}) -> Vector{JetConstituents} Retrieve the constituents of a collection of indexed jets in the event. + +# Arguments +- csts: constituents collection, a vector of `JetConstituents`. +- jets: a vector of jet indices (1-based index) for which to retrieve constituents. + +# Returns +A vector of `JetConstituents`, each containing the constituents for the specified jets. """ function get_constituents(csts::Vector{JetConstituents}, jets::Vector{Int}) jcs = Vector{JetConstituents}() - for i in eachindex(jets) - if jets[i] >= 0 - push!(jcs, csts[jets[i]+1]) # Julia uses 1-based indexing + for i in 1:length(jets) + if jets[i] >= 1 + if i <= length(csts) + push!(jcs, csts[i]) + end end end return jcs From bae8ef5815116595b398b03e29a57576b6f1a35d Mon Sep 17 00:00:00 2001 From: Harry Date: Mon, 9 Jun 2025 04:12:52 -0400 Subject: [PATCH 06/47] Fix function for covMatrix of track --- ext/JetFlavourTagging/JetConstituentUtils.jl | 638 +++++++++---------- 1 file changed, 290 insertions(+), 348 deletions(-) diff --git a/ext/JetFlavourTagging/JetConstituentUtils.jl b/ext/JetFlavourTagging/JetConstituentUtils.jl index 9eed3fe0..7d3d28c8 100644 --- a/ext/JetFlavourTagging/JetConstituentUtils.jl +++ b/ext/JetFlavourTagging/JetConstituentUtils.jl @@ -523,90 +523,71 @@ function get_dz(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, return result end +################################################################################# +# Covariance matrix elements +#################################################################################4 + """ - get_dptdpt(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, - tracks::StructVector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} + get_dxydxy(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} -Get the omega covariance (dpt/dpt) for each particle in each jet from its associated track. -Reference: FCCAnalyses c++ function get_omega_cov, adapted for jet constituents. +Get the d0 covariance (dxy/dxy) for each particle. # Arguments - jcs: Vector of jet constituents (each element contains particles for one jet) - tracks: StructVector of TrackState objects # Returns -Vector of vectors of dptdpt values (one vector per jet) +Vector of vectors of dxydxy values (one vector per jet) """ -function get_dptdpt(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, +function get_dxydxy(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, tracks::StructVector{EDM4hep.TrackState}) + result = Vector{JetConstituentsData}() - - for jet_constituents in jcs - dptdpt_values = JetConstituentsData() + tracks_len = length(tracks) - for p in jet_constituents - track_found = false - - if p.charge != 0.0 - if !isempty(tracks) - track = tracks[1] - push!(dptdpt_values, Float32(track.covMatrix[6])) - track_found = true - end - end - - if !track_found - push!(dptdpt_values, -9.0f0) + for jc in jcs + jet_result = Float32[] + for p in jc + if p.tracks.first < tracks_len + push!(jet_result, tracks[p.tracks.first + 1].covMatrix[1]) + else + push!(jet_result, -9.0f0) end end - - push!(result, dptdpt_values) + push!(result, jet_result) end - return result end """ - get_detadeta(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, - tracks::StructVector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} + get_dphidxy(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} -Get the tanLambda covariance (deta/deta) for each particle in each jet from its associated track. -Reference: FCCAnalyses c++ function get_tanlambda_cov, adapted for jet constituents. +Get the phi0-d0 covariance (dphi/dxy) for each particle. # Arguments - jcs: Vector of jet constituents (each element contains particles for one jet) - tracks: StructVector of TrackState objects # Returns -Vector of vectors of detadeta values (one vector per jet) +Vector of vectors of dphidxy values (one vector per jet) """ -function get_detadeta(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, +function get_dphidxy(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, tracks::StructVector{EDM4hep.TrackState}) result = Vector{JetConstituentsData}() - - for jet_constituents in jcs - detadeta_values = JetConstituentsData() - - for p in jet_constituents - track_found = false - - if p.charge != 0.0 - if !isempty(tracks) - track = tracks[1] - push!(detadeta_values, Float32(track.covMatrix[15])) - track_found = true - end - end - - if !track_found - push!(detadeta_values, -9.0f0) + tracks_len = length(tracks) + + for jc in jcs + jet_result = Float32[] + for p in jc + if p.tracks.first < tracks_len + push!(jet_result, tracks[p.tracks.first + 1].covMatrix[2]) + else + push!(jet_result, -9.0f0) end end - - push!(result, detadeta_values) + push!(result, jet_result) end - return result end @@ -628,272 +609,245 @@ function get_dphidphi(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, tracks::StructVector{EDM4hep.TrackState}) result = Vector{JetConstituentsData}() - - for jet_constituents in jcs - dphidphi_values = JetConstituentsData() - - for p in jet_constituents - track_found = false - - if p.charge != 0.0 - if !isempty(tracks) - track = tracks[1] - push!(dphidphi_values, Float32(track.covMatrix[3])) - track_found = true - end - end - - if !track_found - push!(dphidphi_values, -9.0f0) + tracks_len = length(tracks) + + for jc in jcs + jet_result = Float32[] + for p in jc + if p.tracks.first < tracks_len + push!(jet_result, tracks[p.tracks.first + 1].covMatrix[3]) + else + push!(jet_result, -9.0f0) end end - - push!(result, dphidphi_values) + push!(result, jet_result) end - return result end """ - get_dxydxy(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} + get_dxyc(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} -Get the d0 covariance (dxy/dxy) for each particle. +Get the d0-omega covariance (dxy/c) for each particle. + +# Arguments +- jcs: Vector of jet constituents (each element contains particles for one jet) +- tracks: StructVector of TrackState objects + +# Returns +Vector of vectors of dxyc values (one vector per jet) """ -function get_dxydxy(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, +function get_dxyc(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, tracks::StructVector{EDM4hep.TrackState}) - - result = Vector{JetConstituentsData}() - for jet_constituents in jcs - dxydxy_values = JetConstituentsData() - - for p in jet_constituents - track_found = false - - if p.charge != 0.0 - if !isempty(tracks) - track = tracks[1] - push!(dxydxy_values, Float32(track.covMatrix[1])) - track_found = true - end - end - - if !track_found - push!(dxydxy_values, -9.0f0) + result = Vector{JetConstituentsData}() + tracks_len = length(tracks) + + for jc in jcs + jet_result = Float32[] + for p in jc + if p.tracks.first < tracks_len + push!(jet_result, tracks[p.tracks.first + 1].covMatrix[4]) + else + push!(jet_result, -9.0f0) end end - - push!(result, dxydxy_values) + push!(result, jet_result) end - return result end """ - get_dzdz(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} + get_phic(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} -Get the z0 covariance (dz/dz) for each particle. +Get the phi0-omega covariance (phi/c) for each particle. + +# Arguments +- jcs: Vector of jet constituents (each element contains particles for one jet) +- tracks: StructVector of TrackState objects + +# Returns +Vector of vectors of phiomega values (one vector per jet) """ -function get_dzdz(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, +function get_phic(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, tracks::StructVector{EDM4hep.TrackState}) - result = Vector{JetConstituentsData}() - for jet_constituents in jcs - dzdz_values = JetConstituentsData() - - for p in jet_constituents - track_found = false - - if p.charge != 0.0 - if !isempty(tracks) - track = tracks[1] - push!(dzdz_values, Float32(track.covMatrix[10])) - track_found = true - end - end - - if !track_found - push!(dzdz_values, -9.0f0) + result = Vector{JetConstituentsData}() + tracks_len = length(tracks) + + for jc in jcs + jet_result = Float32[] + for p in jc + if p.tracks.first < tracks_len + push!(jet_result, tracks[p.tracks.first + 1].covMatrix[5]) + else + push!(jet_result, -9.0f0) end end - - push!(result, dzdz_values) + push!(result, jet_result) end - return result end """ - get_dxydz(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} + get_dptdpt(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + tracks::StructVector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} -Get the d0-z0 covariance (dxy/dz) for each particle. +Get the omega covariance (dpt/dpt) for each particle in each jet from its associated track. +Reference: FCCAnalyses c++ function get_omega_cov, adapted for jet constituents. + +# Arguments +- jcs: Vector of jet constituents (each element contains particles for one jet) +- tracks: StructVector of TrackState objects + +# Returns +Vector of vectors of dptdpt values (one vector per jet) """ -function get_dxydz(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, +function get_dptdpt(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, tracks::StructVector{EDM4hep.TrackState}) + result = Vector{JetConstituentsData}() + tracks_len = length(tracks) - for jet_constituents in jcs - dxydz_values = JetConstituentsData() - - for p in jet_constituents - track_found = false - - if p.charge != 0.0 - if !isempty(tracks) - track = tracks[1] - push!(dxydz_values, Float32(track.covMatrix[7])) - track_found = true - end - end - - if !track_found - push!(dxydz_values, -9.0f0) + for jc in jcs + jet_result = Float32[] + for p in jc + if p.tracks.first < tracks_len + push!(jet_result, tracks[p.tracks.first + 1].covMatrix[6]) + else + push!(jet_result, -9.0f0) end end - - push!(result, dxydz_values) + push!(result, jet_result) end - return result end """ - get_dphidxy(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} + get_dxydz(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} -Get the phi0-d0 covariance (dphi/dxy) for each particle. +Get the d0-z0 covariance (dxy/dz) for each particle. + +# Arguments +- jcs: Vector of jet constituents (each element contains particles for one jet) +- tracks: StructVector of TrackState objects + +# Returns +Vector of vectors of dxy/dz values (one vector per jet) """ -function get_dphidxy(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, +function get_dxydz(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, tracks::StructVector{EDM4hep.TrackState}) - + result = Vector{JetConstituentsData}() + tracks_len = length(tracks) - for jet_constituents in jcs - dphidxy_values = JetConstituentsData() - - for p in jet_constituents - track_found = false - - if p.charge != 0.0 - if !isempty(tracks) - track = tracks[1] - push!(dphidxy_values, Float32(track.covMatrix[2])) - track_found = true - end - end - - if !track_found - push!(dphidxy_values, -9.0f0) + for jc in jcs + jet_result = Float32[] + for p in jc + if p.tracks.first < tracks_len + push!(jet_result, tracks[p.tracks.first + 1].covMatrix[7]) + else + push!(jet_result, -9.0f0) end end - - push!(result, dphidxy_values) + push!(result, jet_result) end - return result end """ - get_dlambdadz(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} + get_phidz(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} -Get the tanLambda-z0 covariance (dlambda/dz) for each particle. +Get the phi0-z0 covariance (dphi/dz) for each particle. + +# Arguments +- jcs: Vector of jet constituents (each element contains particles for one jet) +- tracks: StructVector of TrackState objects + +# Returns +Vector of vectors of phidz values (one vector per jet) """ -function get_dlambdadz(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, +function get_phidz(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, tracks::StructVector{EDM4hep.TrackState}) - - result = Vector{JetConstituentsData}() - for jet_constituents in jcs - dlambdadz_values = JetConstituentsData() - - for p in jet_constituents - track_found = false - - if p.charge != 0.0 - if !isempty(tracks) - track = tracks[1] - push!(dlambdadz_values, Float32(track.covMatrix[14])) - track_found = true - end - end - - if !track_found - push!(dlambdadz_values, -9.0f0) + result = Vector{JetConstituentsData}() + tracks_len = length(tracks) + + for jc in jcs + jet_result = Float32[] + for p in jc + if p.tracks.first < tracks_len + push!(jet_result, tracks[p.tracks.first + 1].covMatrix[8]) + else + push!(jet_result, -9.0f0) end end - - push!(result, dlambdadz_values) + push!(result, jet_result) end - return result end """ - get_phidz(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} + get_cdz(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} -Get the phi0-z0 covariance (dphi/dz) for each particle. +Get the omega-z0 covariance (c/dz) for each particle. + +# Arguments +- jcs: Vector of jet constituents (each element contains particles for one jet) +- tracks: StructVector of TrackState objects + +# Returns +Vector of vectors of dxdz values (one vector per jet) """ -function get_phidz(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, +function get_cdz(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, tracks::StructVector{EDM4hep.TrackState}) result = Vector{JetConstituentsData}() - - for jet_constituents in jcs - phidz_values = JetConstituentsData() - - for p in jet_constituents - track_found = false - - if p.charge != 0.0 - if !isempty(tracks) - track = tracks[1] - push!(phidz_values, Float32(track.covMatrix[8])) - track_found = true - end - end - - if !track_found - push!(phidz_values, -9.0f0) + tracks_len = length(tracks) + + for jc in jcs + jet_result = Float32[] + for p in jc + if p.tracks.first < tracks_len + push!(jet_result, tracks[p.tracks.first + 1].covMatrix[9]) + else + push!(jet_result, -9.0f0) end end - - push!(result, phidz_values) + push!(result, jet_result) end - return result end """ - get_dxyc(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} + get_dzdz(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} -Get the d0-omega covariance (dxy/c) for each particle. +Get the z0 covariance (dz/dz) for each particle. + +# Arguments +- jcs: Vector of jet constituents (each element contains particles for one jet) +- tracks: StructVector of TrackState objects + +# Returns +Vector of vectors of dxdz values (one vector per jet) """ -function get_dxyc(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, +function get_dzdz(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, tracks::StructVector{EDM4hep.TrackState}) - + result = Vector{JetConstituentsData}() - - for jet_constituents in jcs - dxyc_values = JetConstituentsData() - - for p in jet_constituents - track_found = false - - if p.charge != 0.0 - if !isempty(tracks) - track = tracks[1] - push!(dxyc_values, Float32(track.covMatrix[4])) - track_found = true - end - end - - if !track_found - push!(dxyc_values, -9.0f0) + tracks_len = length(tracks) + + for jc in jcs + jet_result = Float32[] + for p in jc + if p.tracks.first < tracks_len + push!(jet_result, tracks[p.tracks.first + 1].covMatrix[10]) + else + push!(jet_result, -9.0f0) end end - - push!(result, dxyc_values) + push!(result, jet_result) end - return result end @@ -901,177 +855,165 @@ end get_dxyctgtheta(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} Get the d0-tanLambda covariance (dxy/ctgtheta) for each particle. + +# Arguments +- jcs: Vector of jet constituents (each element contains particles for one jet) +- tracks: StructVector of TrackState objects + +# Returns +Vector of vectors of dxyctgtheta values (one vector per jet) """ function get_dxyctgtheta(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, tracks::StructVector{EDM4hep.TrackState}) result = Vector{JetConstituentsData}() - - for jet_constituents in jcs - dxyctgtheta_values = JetConstituentsData() - - for p in jet_constituents - track_found = false - - if p.charge != 0.0 - if !isempty(tracks) - track = tracks[1] - push!(dxyctgtheta_values, Float32(track.covMatrix[11])) - track_found = true - end - end - - if !track_found - push!(dxyctgtheta_values, -9.0f0) + tracks_len = length(tracks) + + for jc in jcs + jet_result = Float32[] + for p in jc + if p.tracks.first < tracks_len + push!(jet_result, tracks[p.tracks.first + 1].covMatrix[11]) + else + push!(jet_result, -9.0f0) end end - - push!(result, dxyctgtheta_values) + push!(result, jet_result) end - return result end """ - get_phic(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} + get_phictgtheta(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} -Get the phi0-omega covariance (phi/c) for each particle. +Get the phi0-tanLambda covariance (phi/ctgtheta) for each particle. + +# Arguments +- jcs: Vector of jet constituents (each element contains particles for one jet) +- tracks: StructVector of TrackState objects + +# Returns +Vector of vectors of phictgtheta values (one vector per jet) """ -function get_phic(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, +function get_phictgtheta(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, tracks::StructVector{EDM4hep.TrackState}) result = Vector{JetConstituentsData}() - - for jet_constituents in jcs - phic_values = JetConstituentsData() - - for p in jet_constituents - track_found = false - - if p.charge != 0.0 - if !isempty(tracks) - track = tracks[1] - push!(phic_values, Float32(track.covMatrix[5])) - track_found = true - end - end - - if !track_found - push!(phic_values, -9.0f0) + tracks_len = length(tracks) + + for jc in jcs + jet_result = Float32[] + for p in jc + if p.tracks.first < tracks_len + push!(jet_result, tracks[p.tracks.first + 1].covMatrix[12]) + else + push!(jet_result, -9.0f0) end end - - push!(result, phic_values) + push!(result, jet_result) end - return result end """ - get_phictgtheta(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} + get_cctgtheta(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} -Get the phi0-tanLambda covariance (phi/ctgtheta) for each particle. +Get the omega-tanLambda covariance (c/ctgtheta) for each particle. + +# Arguments +- jcs: Vector of jet constituents (each element contains particles for one jet) +- tracks: StructVector of TrackState objects + +# Returns +Vector of vectors of cctgtheta values (one vector per jet) """ -function get_phictgtheta(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, +function get_cctgtheta(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, tracks::StructVector{EDM4hep.TrackState}) result = Vector{JetConstituentsData}() - - for jet_constituents in jcs - phictgtheta_values = JetConstituentsData() - - for p in jet_constituents - track_found = false - - if p.charge != 0.0 - if !isempty(tracks) - track = tracks[1] - push!(phictgtheta_values, Float32(track.covMatrix[12])) - track_found = true - end - end - - if !track_found - push!(phictgtheta_values, -9.0f0) + tracks_len = length(tracks) + + for jc in jcs + jet_result = Float32[] + for p in jc + if p.tracks.first < tracks_len + push!(jet_result, tracks[p.tracks.first + 1].covMatrix[13]) + else + push!(jet_result, -9.0f0) end end - - push!(result, phictgtheta_values) + push!(result, jet_result) end - return result end """ - get_cdz(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} + get_dlambdadz(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} -Get the omega-z0 covariance (c/dz) for each particle. +Get the tanLambda-z0 covariance (dlambda/dz) for each particle. + +# Arguments +- jcs: Vector of jet constituents (each element contains particles for one jet) +- tracks: StructVector of TrackState objects + +# Returns +Vector of vectors of dlambdadz values (one vector per jet) """ -function get_cdz(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, +function get_dlambdadz(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, tracks::StructVector{EDM4hep.TrackState}) - + result = Vector{JetConstituentsData}() - - for jet_constituents in jcs - cdz_values = JetConstituentsData() - - for p in jet_constituents - track_found = false - - if p.charge != 0.0 - if !isempty(tracks) - track = tracks[1] - push!(cdz_values, Float32(track.covMatrix[9])) - track_found = true - end - end - - if !track_found - push!(cdz_values, -9.0f0) + tracks_len = length(tracks) + + for jc in jcs + jet_result = Float32[] + for p in jc + if p.tracks.first < tracks_len + push!(jet_result, tracks[p.tracks.first + 1].covMatrix[14]) + else + push!(jet_result, -9.0f0) end end - - push!(result, cdz_values) + push!(result, jet_result) end - return result end """ - get_cctgtheta(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} + get_detadeta(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + tracks::StructVector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} -Get the omega-tanLambda covariance (c/ctgtheta) for each particle. +Get the tanLambda covariance (deta/deta) for each particle in each jet from its associated track. +Reference: FCCAnalyses c++ function get_tanlambda_cov, adapted for jet constituents. + +# Arguments +- jcs: Vector of jet constituents (each element contains particles for one jet) +- tracks: StructVector of TrackState objects + +# Returns +Vector of vectors of detadeta values (one vector per jet) """ -function get_cctgtheta(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, +function get_detadeta(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, tracks::StructVector{EDM4hep.TrackState}) - + result = Vector{JetConstituentsData}() - - for jet_constituents in jcs - cctgtheta_values = JetConstituentsData() - - for p in jet_constituents - track_found = false - - if p.charge != 0.0 - if !isempty(tracks) - track = tracks[1] - push!(cctgtheta_values, Float32(track.covMatrix[13])) - track_found = true - end - end - - if !track_found - push!(cctgtheta_values, -9.0f0) + tracks_len = length(tracks) + + for jc in jcs + jet_result = Float32[] + for p in jc + if p.tracks.first < tracks_len + push!(jet_result, tracks[p.tracks.first + 1].covMatrix[15]) + else + push!(jet_result, -9.0f0) end end - - push!(result, cctgtheta_values) + push!(result, jet_result) end - return result end + """ get_erel_log_cluster(jets::Vector{EEJet}, jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}) -> Vector{JetConstituentsData} From 13051fbc6ff10e42548618825a390beec0b7b75e Mon Sep 17 00:00:00 2001 From: Harry Date: Mon, 9 Jun 2025 04:26:18 -0400 Subject: [PATCH 07/47] Update JetConstituentUtils.jl Update with 'On working sections' --- ext/JetFlavourTagging/JetConstituentUtils.jl | 49 ++++++++++++++++++-- 1 file changed, 46 insertions(+), 3 deletions(-) diff --git a/ext/JetFlavourTagging/JetConstituentUtils.jl b/ext/JetFlavourTagging/JetConstituentUtils.jl index 7d3d28c8..613cd9ea 100644 --- a/ext/JetFlavourTagging/JetConstituentUtils.jl +++ b/ext/JetFlavourTagging/JetConstituentUtils.jl @@ -2,11 +2,26 @@ using EDM4hep using JetReconstruction using StructArrays: StructVector -# Define type aliases for clarity # TODO: Move to JetFlavourTagging file. But requires more checks. +### TODO's: +# 1) Fixing the covariance matrix extraction to avoid out-of-bounds errors. (DONE, Jun 9, 2025) +# 2) Move class type alias in line 11-12 to JetFlavourTagging file. But requires more checks. +# 3) For Vector structs and operations, maybe those file can go to another vector helper module, or I can use julia buildin Vector type. +# 4) Optimize the kinematic variable sections (Currently working on, expect Jun 11, 2025) +# 5) Fix the vertex extraction from MCParticles +# a) prepare the vertex in the main file and pass it to here (currently working on, expect Jun 13, 2025) +# b) MTOF, dNdx (expected Jun 20, 2025) +# c) kinematic variables (currently working on, expect Jun 16, 2025) +# 6) Optimize the b-tagging section. (expected Jun 17, 2025) +# 7) Unit tests! (Extract one event!) + +# Define type aliases for clarity const JetConstituents = StructVector{ReconstructedParticle} const JetConstituentsData = Vector{Float32} -## TODO: maybe those file can go to another vector helper module, or I can use julia buildin Vector type. +############################################################################# +# Vector structs and operations +############################################################################# + """ Vector2(x::Float64, y::Float64) -> Vector2 @@ -84,6 +99,9 @@ function v3_unit(v::Vector3) return Vector3(v.X/n, v.Y/n, v.Z/n) end +################################################################################# +# Kinematic variables +################################################################################# """ get_Bz(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, tracks::StructVector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} @@ -1013,6 +1031,10 @@ function get_detadeta(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, return result end +################################################################################# +# Clustered jet specific variables +################################################################################# + """ get_erel_log_cluster(jets::Vector{EEJet}, @@ -1164,6 +1186,11 @@ function get_phirel_cluster(jets::Vector{EEJet}, return result end + +################################################################################# +# Particle ID variables +################################################################################# + """ get_isMu(jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} @@ -1289,6 +1316,10 @@ function get_isNeutralHad(jcs::Vector{JetConstituents}) return result end +################################################################################# +# Time-of-flight mass calculation +################################################################################# + """ get_mtof(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, track_L::AbstractArray{T} where T <: AbstractFloat, @@ -1464,6 +1495,10 @@ function get_mtof(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, return result end +################################################################################## +# dE/dx and dN/dx calculation +################################################################################## + """ get_dndx(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, dNdx::StructVector{EDM4hep.Quantity}, @@ -1482,7 +1517,6 @@ Only charged hadrons have valid dN/dx values. # Returns Vector of vectors of dN/dx values (one vector per jet, one value per constituent) """ -# TODO: Fix the issue here with the tracks relationship function get_dndx(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, dNdx::StructVector{EDM4hep.Quantity}, trackdata::StructVector{EDM4hep.Track}, @@ -1538,6 +1572,10 @@ function get_dndx(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, return result end +################################################################################# +# B-tagging variables, signed impact parameter, dist, etc. +################################################################################# + """ get_Sip2dVal_clusterV(jets::Vector{JetReconstruction.EEJet}, D0::Vector{JetConstituentsData}, @@ -1858,6 +1896,11 @@ function get_btagJetDistSig(JetDistVal::Vector{JetConstituentsData}, # Simply call the implementation function return get_JetDistSig(JetDistVal, err2_D0, err2_Z0) end + +################################################################################# +# Counting variables +################################################################################# + """ count_jets(jets::Vector{JetConstituents}) -> Int From 5e7885f227830ebc1d27255e66d8b22726cbde27 Mon Sep 17 00:00:00 2001 From: Harry Date: Wed, 11 Jun 2025 12:46:08 -0400 Subject: [PATCH 08/47] Update the Jet Constituents methods --- ext/JetFlavourTagging/JetConstituentUtils.jl | 650 +++++++++---------- 1 file changed, 317 insertions(+), 333 deletions(-) diff --git a/ext/JetFlavourTagging/JetConstituentUtils.jl b/ext/JetFlavourTagging/JetConstituentUtils.jl index 613cd9ea..ff4ec299 100644 --- a/ext/JetFlavourTagging/JetConstituentUtils.jl +++ b/ext/JetFlavourTagging/JetConstituentUtils.jl @@ -3,14 +3,15 @@ using JetReconstruction using StructArrays: StructVector ### TODO's: -# 1) Fixing the covariance matrix extraction to avoid out-of-bounds errors. (DONE, Jun 9, 2025) +# 1) Fix the covariance matrix extraction to avoid out-of-bounds errors. (DONE, Jun 9, 2025) # 2) Move class type alias in line 11-12 to JetFlavourTagging file. But requires more checks. # 3) For Vector structs and operations, maybe those file can go to another vector helper module, or I can use julia buildin Vector type. -# 4) Optimize the kinematic variable sections (Currently working on, expect Jun 11, 2025) +# 4) Fix the kinematic variable sections (Currently working on, expect Jun 11, 2025) # 5) Fix the vertex extraction from MCParticles # a) prepare the vertex in the main file and pass it to here (currently working on, expect Jun 13, 2025) -# b) MTOF, dNdx (expected Jun 20, 2025) -# c) kinematic variables (currently working on, expect Jun 16, 2025) +# b) MTOF, dNdx (done) +# c) dNdx based on EDM4hep version +# d) kinematic variables (currently working on, expect Jun 16, 2025) # 6) Optimize the b-tagging section. (expected Jun 17, 2025) # 7) Unit tests! (Extract one event!) @@ -72,7 +73,6 @@ function v3_dot(v::Vector3, w::Vector3) return v.X*w.X + v.Y*w.Y + v.Z*w.Z end - """ v3_norm(v::Vector3) -> Float64 @@ -85,7 +85,6 @@ function v3_norm(v::Vector3) return sqrt(v.X^2 + v.Y^2 + v.Z^2) end - """ v3_unit(v::Vector3) -> Vector3 @@ -149,10 +148,57 @@ function get_Bz(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, return result end +""" + get_mass(jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} + +Get the mass of each particle in each jet. + +# Arguments +- jcs: Vector of jet constituents (each element contains particles for one jet) + +# Returns +A vector of vectors of mass values +""" +function get_mass(jcs::Vector{JetConstituents}) + result = Vector{JetConstituentsData}() + for jet_constituents in jcs + mass_values = JetConstituentsData() + for p in jet_constituents + mass = p.mass + push!(mass_values, mass) + end + push!(result, mass_values) + end + return result +end + +""" + get_eta(jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} + +Get the pseudorapidity of each particle in each jet. + +# Arguments +- jcs: Vector of jet constituents (each element contains particles for one jet) + +# Returns +A vector of vectors of pseudorapidity values (eta = -ln(tan(theta/2))) +""" +function get_eta(jcs::Vector{JetConstituents}) + theta_result = get_theta(jcs) + result = -ln.(tan.(theta_result ./ 2)) + return result +end + """ get_pt(jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} Get the transverse momentum of each particle in each jet. + +# Arguments +- jcs: Vector of jet constituents (each element contains particles for one jet) + +# Returns +A vector of vectors of transverse momentum values (sqrt(px^2 + py^2)) """ function get_pt(jcs::Vector{JetConstituents}) result = Vector{JetConstituentsData}() @@ -171,6 +217,12 @@ end get_p(jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} Get the momentum magnitude of each particle in each jet. + +# Arguments +- jcs: Vector of jet constituents + +# Returns +A vector of vectors of momentum magnitudes (sqrt(px^2 + py^2 + pz^2)) """ function get_p(jcs::Vector{JetConstituents}) result = Vector{JetConstituentsData}() @@ -212,13 +264,7 @@ function get_theta(jcs::Vector{JetConstituents}) for jet_constituents in jcs theta_values = JetConstituentsData() for p in jet_constituents - # Calculate theta from momentum components - p_mag = sqrt(p.momentum.x^2 + p.momentum.y^2 + p.momentum.z^2) - if p_mag > 0 - theta = acos(p.momentum.z / p_mag) - else - theta = 0.0 - end + theta = (p.momentum.x == 0.0 && p.momentum.y == 0.0 && p.momentum.z == 0.0) ? 0.0 : atan(sqrt(p.momentum.x^2 + p.momentum.y^2), p.momentum.z) push!(theta_values, theta) end push!(result, theta_values) @@ -236,7 +282,7 @@ function get_phi(jcs::Vector{JetConstituents}) for jet_constituents in jcs phi_values = JetConstituentsData() for p in jet_constituents - phi = atan(p.momentum.y, p.momentum.x) + phi = (p.momentum.x == 0.0 && p.momentum.y == 0.0) ? 0.0 : atan(p.momentum.y, p.momentum.x) push!(phi_values, phi) end push!(result, phi_values) @@ -244,6 +290,24 @@ function get_phi(jcs::Vector{JetConstituents}) return result end +""" + get_y(jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} + +Get the rapidity of each particle in each jet. +""" +function get_y(jcs::Vector{JetConstituents}) + result = Vector{JetConstituentsData}() + for jet_constituents in jcs + y_values = JetConstituentsData() + for p in jet_constituents + y = 0.5 * log((p.energy + p.momentum.z) / (p.energy - p.momentum.z)) + push!(y_values, y) + end + push!(result, y_values) + end + return result +end + """ get_charge(jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} @@ -305,58 +369,39 @@ function get_phi0(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, cSpeed = 2.99792458e8 * 1.0e-9 result = Vector{JetConstituentsData}() + tracks_len = length(tracks) - for jet_constituents in jcs + for jc in jcs phi_values = JetConstituentsData() - for p in jet_constituents - track_found = false - - if p.charge != 0.0 - if !isempty(tracks) - track = tracks[1] - - D0_wrt0 = track.D0 - Z0_wrt0 = track.Z0 - phi0_wrt0 = track.phi - - # Create position vector at closest approach to (0,0,0) - X = [-D0_wrt0 * sin(phi0_wrt0), - D0_wrt0 * cos(phi0_wrt0), - Z0_wrt0] - - # Position vector relative to vertex V - x = X .- [V.x, V.y, V.z] - - # Momentum vector - p_vec = [p.momentum.x, p.momentum.y, p.momentum.z] - - # Calculate phi parameter - a = -p.charge * Bz * cSpeed - pt = sqrt(p.momentum.x^2 + p.momentum.y^2) - r2 = x[1]^2 + x[2]^2 - cross = x[1] * p_vec[2] - x[2] * p_vec[1] - - # Calculate factor T - T = sqrt(pt^2 - 2 * a * cross + a^2 * r2) - - # Calculate phi angle at point of closest approach - # Using atan2 to correctly handle quadrants - phi0 = atan((p_vec[2] - a * x[1]) / T, - (p_vec[1] + a * x[2]) / T) - - push!(phi_values, Float32(phi0)) - track_found = true - end - end - - if !track_found + for p in jc + if p.tracks.first < tracks_len + track = tracks[p.tracks.first + 1] + + D0_wrt0 = track.D0 + Z0_wrt0 = track.Z0 + phi0_wrt0 = track.phi + + X = [-D0_wrt0 * sin(phi0_wrt0), + D0_wrt0 * cos(phi0_wrt0), + Z0_wrt0] + + x = X .- [V.x, V.y, V.z] + p3 = [p.momentum.x, p.momentum.y, p.momentum.z] + a = -p.charge * Bz * cSpeed + pt = sqrt(p.momentum.x^2 + p.momentum.y^2) + r2 = x[1]^2 + x[2]^2 + cross = x[1] * p3[2] - x[2] * p3[1] + T = sqrt(pt^2 - 2 * a * cross + a^2 * r2) + phi0 = atan((p3[2] - a * x[1]) / T, (p3[1] + a * x[2]) / T) + + push!(phi_values, Float32(phi0)) + else push!(phi_values, -9.0f0) end end - push!(result, phi_values) end - + return result end @@ -381,58 +426,48 @@ function get_dxy(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, tracks::StructVector{EDM4hep.TrackState}, V::LorentzVector, Bz::Float32) - cSpeed = 2.99792458e8 * 1.0e-9 # Speed of light in m/ns + cSpeed = 2.99792458e8 * 1.0e-9 result = Vector{JetConstituentsData}() + tracks_len = length(tracks) - for jet_constituents in jcs + for jc in jcs dxy_values = JetConstituentsData() - - for p in jet_constituents - track_found = false - - if p.charge != 0.0 - if !isempty(tracks) - track = tracks[1] - - D0_wrt0 = track.D0 - Z0_wrt0 = track.Z0 - phi0_wrt0 = track.phi - - X = [-D0_wrt0 * sin(phi0_wrt0), D0_wrt0 * cos(phi0_wrt0), Z0_wrt0] - - x = X .- [V.x, V.y, V.z] - - p_vec = [p.momentum.x, p.momentum.y, p.momentum.z] - - a = -p.charge * Bz * cSpeed - pt = sqrt(p.momentum.x^2 + p.momentum.y^2) - r2 = x[1]^2 + x[2]^2 - cross = x[1] * p_vec[2] - x[2] * p_vec[1] - - D = -9.0f0 - if pt^2 - 2 * a * cross + a^2 * r2 > 0 - T = sqrt(pt^2 - 2 * a * cross + a^2 * r2) - if pt < 10.0 - D = (T - pt) / a - else - D = (-2 * cross + a * r2) / (T + pt) - end + for p in jc + if p.tracks.first < tracks_len + track = tracks[p.tracks.first + 1] + + D0_wrt0 = track.D0 + Z0_wrt0 = track.Z0 + phi0_wrt0 = track.phi + + X = [-D0_wrt0 * sin(phi0_wrt0), + D0_wrt0 * cos(phi0_wrt0), + Z0_wrt0] + + x = X .- [V.x, V.y, V.z] + p3 = [p.momentum.x, p.momentum.y, p.momentum.z] + a = -p.charge * Bz * cSpeed + pt = sqrt(p.momentum.x^2 + p.momentum.y^2) + r2 = x[1]^2 + x[2]^2 + cross = x[1] * p3[2] - x[2] * p3[1] + D = -9.0f0 + + if (pt^2 - 2 * a * cross + a^2 * r2) > 0 + T = sqrt(pt^2 - 2 * a * cross + a^2 * r2) + if pt < 10.0 + D = (T - pt) / a + else + D = (-2 * cross + a * r2) / (T + pt) end - - push!(dxy_values, D) - track_found = true end - end - - if !track_found + push!(dxy_values, D) + else push!(dxy_values, -9.0f0) end end - push!(result, dxy_values) end - return result end @@ -457,87 +492,145 @@ function get_dz(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, tracks::StructVector{EDM4hep.TrackState}, V::LorentzVector, Bz::Float32) - cSpeed = 2.99792458e8 * 1.0e-9 # Speed of light in m/ns + cSpeed = 2.99792458e8 * 1.0e-9 result = Vector{JetConstituentsData}() - - for jet_constituents in jcs + tracks_len = length(tracks) + + for jc in jcs dz_values = JetConstituentsData() - - for p in jet_constituents - track_found = false - - if p.charge != 0.0 - if !isempty(tracks) - track = tracks[1] - - D0_wrt0 = track.D0 - Z0_wrt0 = track.Z0 - phi0_wrt0 = track.phi - - X = [ - -D0_wrt0 * sin(phi0_wrt0), - D0_wrt0 * cos(phi0_wrt0), - Z0_wrt0 - ] - - # Position vector relative to vertex V - x = X .- [V.x, V.y, V.z] - - # Momentum vector - p_vec = [p.momentum.x, p.momentum.y, p.momentum.z] - - # Calculate dz parameter - a = -p.charge * Bz * cSpeed - pt = sqrt(p.momentum.x^2 + p.momentum.y^2) - C = a / (2 * pt) - r2 = x[1]^2 + x[2]^2 - cross = x[1] * p_vec[2] - x[2] * p_vec[1] - T = sqrt(pt^2 - 2 * a * cross + a^2 * r2) - - # Calculate the distance D - D = 0.0 - if pt < 10.0 - D = (T - pt) / a - else - D = (-2 * cross + a * r2) / (T + pt) - end - - # Calculate the sine of helical parameter - B = C * sqrt(max(r2 - D^2, 0.0) / (1 + 2 * C * D)) - if abs(B) > 1.0 - B = sign(B) - end - - # Path length - st = asin(B) / C - - # Directional tangent - ct = p_vec[3] / pt - - # Calculate z0 (longitudinal impact parameter) - dot_prod = x[1] * p_vec[1] + x[2] * p_vec[2] - z0 = 0.0 - - if dot_prod > 0.0 - z0 = x[3] - ct * st - else - z0 = x[3] + ct * st - end - - push!(dz_values, Float32(z0)) - track_found = true + for p in jc + if p.tracks.first < tracks_len + track = tracks[p.tracks.first + 1] + + D0_wrt0 = track.D0 + Z0_wrt0 = track.Z0 + phi0_wrt0 = track.phi + + X = [-D0_wrt0 * sin(phi0_wrt0), + D0_wrt0 * cos(phi0_wrt0), + Z0_wrt0] + + x = X .- [V.x, V.y, V.z] + p3 = [p.momentum.x, p.momentum.y, p.momentum.z] + a = -p.charge * Bz * cSpeed + pt = sqrt(p.momentum.x^2 + p.momentum.y^2) + C = a / (2 * pt) + r2 = x[1]^2 + x[2]^2 + cross = x[1] * p3[2] - x[2] * p3[1] + T = sqrt(pt^2 - 2 * a * cross + a^2 * r2) + + D = if pt < 10.0 + (T - pt) / a + else + (-2 * cross + a * r2) / (T + pt) end - end - - if !track_found + + B = C * sqrt(max(r2 - D^2, 0.0) / (1 + 2 * C * D)) + if abs(B) > 1.0 + B = sign(B) + end + + st = asin(B) / C + ct = p3[3] / pt + + dot = x[1] * p3[1] + x[2] * p3[2] + z0 = if dot > 0.0 + x[3] - ct * st + else + x[3] + ct * st + end + + push!(dz_values, z0) + else push!(dz_values, -9.0f0) end end - push!(result, dz_values) end + return result +end + +""" + get_c(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + tracks::StructVector{EDM4hep.TrackState}, + Bz::Float32) -> Vector{JetConstituentsData} + +Calculate the C for each particle in each jet. +Reference: FCCAnalyses c++ function XPtoPar_C, adapted for jet constituents. + +# Arguments +- jcs: Vector of jet constituents (each element contains particles for one jet) +- tracks: StructVector of TrackState objects +- Bz: The magnetic field in Tesla + +# Returns +Vector of vectors of C values (one vector per jet) +""" +function get_c(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + tracks::StructVector{EDM4hep.TrackState}, + Bz::Float32) + + cSpeed = 2.99792458e8 * 1.0e3 * 1.0e-15 + result = Vector{JetConstituentsData}() + tracks_len = length(tracks) + + for jc in jcs + c_values = JetConstituentsData() + for p in jc + if p.tracks.first < tracks_len + a = copysign(1.0, p.charge) * Bz * cSpeed + pt = sqrt(p.momentum.x^2 + p.momentum.y^2) + C = a/(2 * pt) + push!(c_values, C) + else + push!(c_values, -9.0f0) + end + end + push!(result, c_values) + end + return result +end + +""" + get_ct(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + tracks::StructVector{EDM4hep.TrackState}, + Bz::Float32) -> Vector{JetConstituentsData} + +Calculate the ct for each particle in each jet. +Reference: FCCAnalyses c++ function XPtoPar_C, adapted for jet constituents. + +# Arguments +- jcs: Vector of jet constituents (each element contains particles for one jet) +- tracks: StructVector of TrackState objects +- Bz: The magnetic field in Tesla + +# Returns +Vector of vectors of ct values (one vector per jet) +""" +function get_ct(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + tracks::StructVector{EDM4hep.TrackState}, + Bz::Float32) + + cSpeed = 2.99792458e8 * 1.0e-9 + + result = Vector{JetConstituentsData}() + tracks_len = length(tracks) + + for jc in jcs + ct_values = JetConstituentsData() + for p in jc + if p.tracks.first < tracks_len + pt = sqrt(p.momentum.x^2 + p.momentum.y^2) + ct = p.momentum.z / pt + push!(ct_values, ct) + else + push!(ct_values, -9.0f0) + end + end + push!(result, ct_values) + end return result end @@ -1355,148 +1448,70 @@ function get_mtof(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, calohits::StructVector{EDM4hep.CalorimeterHit}, V::LorentzVector) - # Speed of light in m/s c_light = 2.99792458e8 - - result = Vector{JetConstituentsData}() - + tracks_len = length(trackdata) + gamma_len = length(gammadata) + nh_len = length(nhdata) + for i in eachindex(jcs) - # Get current jet constituents - constituents = jcs[i] - mtof_values = JetConstituentsData() + jc = jcs[i] + tmp = JetConstituentsData() - for j in eachindex(constituents) - particle = constituents[j] - mtof_added = false - - # NEUTRAL PARTICLES - Handle neutral hadrons (K_L^0) and photons - - # Check if this is a cluster-based particle (neutral hadron or photon) - if hasfield(typeof(particle), :clusters_begin) && particle.clusters_begin > 0 - - # K_L^0 (PDG code 130) - if particle.type == 130 && particle.clusters_begin < length(nhdata) + length(gammadata) - # For neutral hadrons - cluster_idx = particle.clusters_begin - length(gammadata) - - if cluster_idx >= 0 && cluster_idx < length(nhdata) - # Get the first hit from the neutral hadron cluster - if nhdata[cluster_idx+1].hits_begin < length(calohits) - hit_idx = nhdata[cluster_idx+1].hits_begin - calohit = calohits[hit_idx+1] - - # Get time and position from calorimeter hit - T = calohit.time - X = calohit.position.x - Y = calohit.position.y - Z = calohit.position.z - - # Time of flight - tof = T - - # Compute path length with respect to primary vertex (convert to km) - L = sqrt((X - V.x)^2 + (Y - V.y)^2 + (Z - V.z)^2) * 0.001 - - # Calculate beta (v/c) - beta = L / (tof * c_light) - - # Get particle energy - E = particle.energy - - # Calculate mass from relativistic formula: m = E * sqrt(1 - β²) - if beta < 1.0 && beta > 0.0 - push!(mtof_values, Float32(E * sqrt(1.0 - beta * beta))) - mtof_added = true - else - push!(mtof_values, 9.0f0) # Invalid measurement - mtof_added = true - end - end + for j in eachindex(jc) + # particle = jc[j] + if jc[j].clusters.first < nh_len + gamma_len + if jc[j].type == 130 + hit_idx = (nhdata[jc[j].clusters.first+1 - gamma_len].hits.first+1) + + T = calohits[hit_idx].time + X = calohits[hit_idx].position.x + Y = calohits[hit_idx].position.y + Z = calohits[hit_idx].position.z + + tof = T + L = sqrt((X - V.x)^2 + (Y - V.y)^2 + (Z - V.z)^2) * 0.001 + beta = L/(tof * c_light) + E = jc[j].energy + if beta < 1.0 && beta > 0.0 + push!(tmp, E * sqrt(1.0 - beta^2)) + else + push!(tmp, 9.0f0) # Invalid measurement end - elseif particle.type == 22 # Photon - push!(mtof_values, 0.0f0) # Photons have zero mass - mtof_added = true + elseif jc[j].type == 22 + push!(tmp, 0.0f0) # Photons have zero mass end end - # CHARGED PARTICLES - Handle electrons, muons, and charged hadrons - - # Check if this is a track-based particle - if !mtof_added && hasfield(typeof(particle), :tracks_begin) && particle.tracks_begin > 0 - # Check if this is an electron - if abs(particle.charge) > 0 && abs(particle.mass - 0.000510999) < 1e-5 - push!(mtof_values, 0.000510999f0) # Electron mass - mtof_added = true - - # Check if this is a muon - elseif abs(particle.charge) > 0 && abs(particle.mass - 0.105658) < 1e-3 - push!(mtof_values, 0.105658f0) # Muon mass - mtof_added = true - - # Other charged particles (mainly pions and kaons) - elseif particle.tracks_begin < length(trackdata) - track_idx = particle.tracks_begin - - # Time given by primary vertex (convert from mm to seconds) - Tin = V.t * 1e-3 / c_light - - # Get the last hit time from the track - Tout = 0.0f0 - if track_idx < length(trackdata) && - trackdata[track_idx+1].trackerHits_begin < length(trackerhits) && - trackdata[track_idx+1].trackerHits_end > 0 - - # Get the last hit in the track - last_hit_idx = trackdata[track_idx+1].trackerHits_end - 1 - if last_hit_idx < length(trackerhits) - Tout = trackerhits[last_hit_idx+1].time - end - end - - # Time of flight + if jc[j].tracks.first < tracks_len + if abs(jc[j].charge) > 0 && abs(jc[j].mass - 0.000510999) < 1e-5 + push!(tmp, 0.000510999f0) # Electron mass + elseif abs(jc[j].charge) > 0 && abs(jc[j].mass - 0.105658) < 1e-3 + push!(tmp, 0.105658f0) # Muon mass + else + Tin = V.t * 1e-3 / c_light + Tout = trackerhits[trackdata[jc[j].tracks.first+1].trackerHits.last].time tof = Tout - Tin - - # Get track length - L = 0.0f0 - if track_idx < length(track_L) - L = track_L[track_idx+1] * 0.001 # Convert to km - end - - # Calculate beta (v/c) - beta = 0.0f0 - if tof > 0.0 - beta = L / (tof * c_light) - end - - # Calculate momentum - p = sqrt(particle.momentum.x^2 + particle.momentum.y^2 + particle.momentum.z^2) - - # Calculate mass from relativistic formula: m = p * sqrt(1/β² - 1) + + L = track_L[jc[j].tracks.first+1] * 0.001 + beta = L/(tof * c_light) + p = sqrt(jc[j].momentum.x^2 + jc[j].momentum.y^2 + jc[j].momentum.z^2) if beta < 1.0 && beta > 0.0 - push!(mtof_values, Float32(p * sqrt(1.0 / (beta * beta) - 1.0))) - mtof_added = true + push!(tmp, p * sqrt(1.0 / (beta^2) - 1.0)) else - push!(mtof_values, 0.13957039f0) # Default to pion mass - mtof_added = true + push!(tmp, 0.13957039f0) # Default to pion mass end end end - - # Add default value if nothing was added for this particle - if !mtof_added - push!(mtof_values, -9.0f0) - end end - - push!(result, mtof_values) + push!(result, tmp) end return result end ################################################################################## -# dE/dx and dN/dx calculation +# dN/dx ################################################################################## """ @@ -1523,52 +1538,21 @@ function get_dndx(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, JetsConstituents_isChargedHad::Vector{JetConstituentsData}) result = Vector{JetConstituentsData}() - - for i in eachindex(jcs) - # Get current jet constituents and charged hadron flags - constituents = jcs[i] + tracks_len = length(trackdata) + + for i in 1:length(jcs) isChargedHad = JetsConstituents_isChargedHad[i] - dndx_values = JetConstituentsData() - - for j in eachindex(constituents) - particle = constituents[j] - - # Check if this is a charged hadron - if j <= length(isChargedHad) && isChargedHad[j] == 1.0 - # For charged hadrons, try to find associated track - track_found = false - - # Check if particle has tracks relationship - if isdefined(particle, :tracks) && !isnothing(particle.tracks) && !isempty(particle.tracks) - # Get the track directly from the relationship - track = first(particle.tracks) # Using first track if multiple are present - - # Check if track has dxQuantities relationship - if isdefined(track, :dxQuantities) && !isnothing(track.dxQuantities) && - !isempty(track.dxQuantities) - - # Get the dxQuantity directly - dx_quantity = first(track.dxQuantities) - - # Get dN/dx value and convert from MeV to GeV - push!(dndx_values, dx_quantity.value / 1000.0) - track_found = true - end - end - - if !track_found - # No valid dN/dx data found - push!(dndx_values, -1.0f0) - end + tmp = JetConstituentsData() + for j in 1:length(jcs[i]) + if jcs[i][j].tracks.first + 1 <= tracks_len && Int(isChargedHad[j]) == 1 + push!(tmp, -1.0f0) else - # Not a charged hadron (neutral, muon, or electron) - push!(dndx_values, 0.0f0) + push!(tmp, 0.0f0) # Not a charged hadron or no valid track end end - - push!(result, dndx_values) + push!(result, tmp) end - + return result end From cae668cb349f044281255a10f64d06f394ec22e4 Mon Sep 17 00:00:00 2001 From: Harry Date: Wed, 11 Jun 2025 12:55:23 -0400 Subject: [PATCH 09/47] Create an mock example on this module --- examples/flavour-tagging/Project.toml | 20 ++ examples/flavour-tagging/README.md | 10 + .../simple-flavour-tagging.ipynb | 189 ++++++++++++++++++ .../flavour-tagging/simple-flavour-tagging.jl | 0 4 files changed, 219 insertions(+) create mode 100644 examples/flavour-tagging/Project.toml create mode 100644 examples/flavour-tagging/README.md create mode 100644 examples/flavour-tagging/simple-flavour-tagging.ipynb create mode 100644 examples/flavour-tagging/simple-flavour-tagging.jl diff --git a/examples/flavour-tagging/Project.toml b/examples/flavour-tagging/Project.toml new file mode 100644 index 00000000..f882f252 --- /dev/null +++ b/examples/flavour-tagging/Project.toml @@ -0,0 +1,20 @@ +[deps] +Accessors = "7d9f7c33-5ae7-4f3b-8dc6-eff91059b697" +ArgParse = "c7e460c6-2fb9-53a9-8c5b-16f535851c63" +CodecZlib = "944b1d66-785c-5afd-91f1-9de20f533193" +CodecZstd = "6b39b394-51ab-5f42-8807-6242bab2b4c2" +EDM4hep = "eb32b910-dde9-4347-8fce-cd6be3498f0c" +EnumX = "4e289a0a-7415-4d19-859d-a7e5c4648b56" +IJulia = "7073ff75-c697-5162-941a-fcdaad2a7d2a" +JSON = "682c06a0-de6a-54ab-a142-c8b1cf79cde6" +JetReconstruction = "44e8cb2c-dfab-4825-9c70-d4808a591196" +Logging = "56ddb016-857b-54e1-b83d-db4d58db5568" +LoopVectorization = "bdcacae8-1622-11e9-2a5c-532679323890" +LorentzVectorHEP = "f612022c-142a-473f-8cfd-a09cf3793c6c" +LorentzVectors = "3f54b04b-17fc-5cd4-9758-90c048d965e3" +MuladdMacro = "46d2c3a1-f734-5fdb-9937-b9b9aeba4221" +ONNXRunTime = "e034b28e-924e-41b2-b98f-d2bbeb830c6a" +StructArrays = "09ab397b-f2b6-538f-b94a-2f83cf4a842a" + +[sources] +JetReconstruction = {path = "../.."} diff --git a/examples/flavour-tagging/README.md b/examples/flavour-tagging/README.md new file mode 100644 index 00000000..f5550b16 --- /dev/null +++ b/examples/flavour-tagging/README.md @@ -0,0 +1,10 @@ +# Jet Reconstruction Flavour Tagging Module Examples + +## `simple-flavour-tagging.jl` + +This script will perform a simple flavour tagging with one events only. +It will use the `FlavourTagging` module to tag the jets in the event and print the results. + +## `simple-flavour-tagging.ipynb` + +The same as the above example, but using a Jupyter notebook. diff --git a/examples/flavour-tagging/simple-flavour-tagging.ipynb b/examples/flavour-tagging/simple-flavour-tagging.ipynb new file mode 100644 index 00000000..0e6677ca --- /dev/null +++ b/examples/flavour-tagging/simple-flavour-tagging.ipynb @@ -0,0 +1,189 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "21a84728", + "metadata": {}, + "outputs": [], + "source": [ + "using EDM4hep\n", + "using EDM4hep.RootIO\n", + "using StaticArrays\n", + "using LorentzVectorHEP\n", + "using JSON\n", + "using ONNXRunTime\n", + "using StructArrays" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3b92ca23", + "metadata": {}, + "outputs": [], + "source": [ + "using Pkg\n", + "Pkg.resolve()\n", + "Pkg.develop(Pkg.PackageSpec(path = \"/Users/harrywanghc/Developer/2025/HarryFork/JetReconstruction.jl\"))\n", + "using JetReconstruction\n", + "Pkg.status()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "379f4304", + "metadata": {}, + "outputs": [], + "source": [ + "# Paths to model files\n", + "model_dir = \"data/wc_pt_7classes_12_04_2023\"\n", + "onnx_path = joinpath(model_dir, \"fccee_flavtagging_edm4hep_wc_v1.onnx\")\n", + "json_path = joinpath(model_dir, \"fccee_flavtagging_edm4hep_wc_v1.json\")\n", + "\n", + "# Load the configuration and model\n", + "config = JSON.parsefile(json_path)\n", + "model = ONNXRunTime.load_inference(onnx_path)\n", + "\n", + "# Display the output classes we'll predict\n", + "println(\"The model predicts these flavor classes:\")\n", + "for class_name in config[\"output_names\"]\n", + " println(\" - \", class_name)\n", + "end" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "51c71156", + "metadata": {}, + "outputs": [], + "source": [ + "# Path to ROOT file with EDM4hep data\n", + "edm4hep_path = \"data/events_080263084.root\"\n", + "reader = RootIO.Reader(edm4hep_path)\n", + "\n", + "# Get event information\n", + "events = RootIO.get(reader, \"events\")\n", + "println(\"Loaded $(length(events)) events\")\n", + "\n", + "# Choose a specific event to analyze (event #15)\n", + "event_id = 15\n", + "evt = events[event_id]\n", + "println(\"Processing event #$event_id\")\n", + "\n", + "# Get reconstructed particles and tracks\n", + "recps = RootIO.get(reader, evt, \"ReconstructedParticles\")\n", + "tracks = RootIO.get(reader, evt, \"EFlowTrack_1\")\n", + "\n", + "# Get needed collections for feature extraction\n", + "bz = RootIO.get(reader, evt, \"magFieldBz\", register = false)[1]\n", + "trackdata = RootIO.get(reader, evt, \"EFlowTrack\")\n", + "trackerhits = RootIO.get(reader, evt, \"TrackerHits\")\n", + "gammadata = RootIO.get(reader, evt, \"EFlowPhoton\")\n", + "nhdata = RootIO.get(reader, evt, \"EFlowNeutralHadron\")\n", + "calohits = RootIO.get(reader, evt, \"CalorimeterHits\")\n", + "dNdx = RootIO.get(reader, evt, \"EFlowTrack_2\")\n", + "track_L = RootIO.get(reader, evt, \"EFlowTrack_L\", register = false)\n", + "\n", + "println(\"Loaded $(length(recps)) reconstructed particles\")\n", + "println(\"Loaded $(length(tracks)) tracks\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f96fe81b", + "metadata": {}, + "outputs": [], + "source": [ + "# Cluster jets using the EEkt algorithm with R=2.0 and p=1.0\n", + "cs = jet_reconstruct(recps; p = 1.0, R = 2.0, algorithm = JetAlgorithm.EEKt)\n", + "\n", + "# Get 2 exclusive jets\n", + "jets = exclusive_jets(cs; njets=2, T=EEJet)\n", + "\n", + "# For each jet, get its constituent particles\n", + "constituent_indices = [constituent_indexes(jet, cs) for jet in jets]\n", + "jet_constituents = build_constituents_cluster(recps, constituent_indices)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4f46c6c3", + "metadata": {}, + "outputs": [], + "source": [ + "println(\"Extracting features for flavor tagging...\")\n", + "feature_data = extract_features(\n", + " jets, \n", + " jet_constituents, \n", + " tracks, \n", + " bz, \n", + " track_L, \n", + " trackdata, \n", + " trackerhits, \n", + " gammadata, \n", + " nhdata, \n", + " calohits, \n", + " dNdx\n", + ")\n", + "println(\"Step 1: Feature extraction completed.\")\n", + "\n", + "model, config = setup_weaver(\n", + " onnx_path,\n", + " json_path\n", + ")\n", + "\n", + "println(\"Step 2: Weaver setup completed.\")\n", + "\n", + "input_tensors = prepare_input_tensor(\n", + " jet_constituents,\n", + " jets,\n", + " config,\n", + " feature_data\n", + ")\n", + "\n", + "println(\"Step 3: Input tensor preparation completed.\")\n", + "\n", + "println(\"Running flavor tagging inference...\")\n", + "weights = get_weights(\n", + " 0, # Thread slot\n", + " feature_data,\n", + " jets,\n", + " jet_constituents,\n", + " config,\n", + " model\n", + ")\n", + "println(\"Step 4: Weights retrieval completed.\")\n", + "\n", + "jet_scores = Dict{String, Vector{Float32}}()\n", + "for (i, score_name) in enumerate(config[\"output_names\"])\n", + " jet_scores[score_name] = get_weight(weights, i-1)\n", + "end\n", + "\n", + "println(\"Jet scores:\")\n", + "for (name, scores) in jet_scores\n", + " println(\" - $name: $(scores[1])\")\n", + "end" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Julia 1.11.5", + "language": "julia", + "name": "julia-1.11" + }, + "language_info": { + "file_extension": ".jl", + "mimetype": "application/julia", + "name": "julia", + "version": "1.11.5" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples/flavour-tagging/simple-flavour-tagging.jl b/examples/flavour-tagging/simple-flavour-tagging.jl new file mode 100644 index 00000000..e69de29b From 5079cecd07ced79eccc9230a5b60b168df90c30a Mon Sep 17 00:00:00 2001 From: Harry Date: Wed, 11 Jun 2025 12:58:08 -0400 Subject: [PATCH 10/47] Temp add to .gitignore add the /example/flavour-tagging/data folder (for local debug) to .gitignore. Will remove this and use cern eos path in future updates. --- .gitignore | 1 + 1 file changed, 1 insertion(+) diff --git a/.gitignore b/.gitignore index d1458d2d..a101db27 100644 --- a/.gitignore +++ b/.gitignore @@ -36,3 +36,4 @@ benchmark/* /profile/* /statprof/* /debug/* +/examples/flavour-tagging/data From 4adf317394032bdd00f1171c59fc955426dbad74 Mon Sep 17 00:00:00 2001 From: Harry Date: Wed, 11 Jun 2025 18:02:16 -0400 Subject: [PATCH 11/47] Add JSON to library Project.toml Add JSON to Library project.toml as ONNX profile need to be load with JSON. --- Project.toml | 3 +- .../simple-flavour-tagging.ipynb | 240 +++++++++++++++++- .../JetConstituentBuilder.jl | 2 +- ext/JetFlavourTagging/JetFlavourTagging.jl | 4 +- 4 files changed, 235 insertions(+), 14 deletions(-) diff --git a/Project.toml b/Project.toml index a21ac8b4..58b0a9f3 100644 --- a/Project.toml +++ b/Project.toml @@ -18,11 +18,12 @@ StructArrays = "09ab397b-f2b6-538f-b94a-2f83cf4a842a" EDM4hep = "eb32b910-dde9-4347-8fce-cd6be3498f0c" Makie = "ee78f7c6-11fb-53f2-987a-cfe4a2b5a57a" ONNXRunTime = "e034b28e-924e-41b2-b98f-d2bbeb830c6a" +JSON = "682c06a0-de6a-54ab-a142-c8b1cf79cde6" [extensions] EDM4hepJets = "EDM4hep" JetVisualisation = "Makie" -JetFlavourTagging = ["EDM4hep", "ONNXRunTime"] +JetFlavourTagging = ["EDM4hep", "ONNXRunTime", "JSON"] [compat] Accessors = "0.1.36" diff --git a/examples/flavour-tagging/simple-flavour-tagging.ipynb b/examples/flavour-tagging/simple-flavour-tagging.ipynb index 0e6677ca..5158facc 100644 --- a/examples/flavour-tagging/simple-flavour-tagging.ipynb +++ b/examples/flavour-tagging/simple-flavour-tagging.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "id": "21a84728", "metadata": {}, "outputs": [], @@ -18,24 +18,194 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "id": "3b92ca23", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32m\u001b[1m No Changes\u001b[22m\u001b[39m to `~/.julia/environments/v1.11/Project.toml`\n", + "\u001b[32m\u001b[1m No Changes\u001b[22m\u001b[39m to `~/.julia/environments/v1.11/Manifest.toml`\n", + "\u001b[32m\u001b[1m Resolving\u001b[22m\u001b[39m package versions...\n", + "\u001b[32m\u001b[1m Updating\u001b[22m\u001b[39m `~/.julia/environments/v1.11/Project.toml`\n", + " \u001b[90m[44e8cb2c] \u001b[39m\u001b[93m~ JetReconstruction v0.4.7 `~/Developer/2025/HarryFork/JetReconstruction.jl` ⇒ v0.5.0-dev `~/Developer/2025/JuliaHEPForkToMain/JetReconstruction.jl`\u001b[39m\n", + "\u001b[32m\u001b[1m Updating\u001b[22m\u001b[39m `~/.julia/environments/v1.11/Manifest.toml`\n", + " \u001b[90m[44e8cb2c] \u001b[39m\u001b[93m~ JetReconstruction v0.4.7 `~/Developer/2025/HarryFork/JetReconstruction.jl` ⇒ v0.5.0-dev `~/Developer/2025/JuliaHEPForkToMain/JetReconstruction.jl`\u001b[39m\n", + "\u001b[91m\u001b[1mERROR: \u001b[22m\u001b[39mLoadError: ArgumentError: Package JetFlavourTagging does not have JSON in its dependencies:\n", + "- You may have a partially installed environment. Try `Pkg.instantiate()`\n", + " to ensure all packages in the environment are installed.\n", + "- Or, if you have JetFlavourTagging checked out for development and have\n", + " added JSON as a dependency but haven't updated your primary\n", + " environment's manifest file, try `Pkg.resolve()`.\n", + "- Otherwise you may need to report an issue with JetFlavourTagging\n", + "Stacktrace:\n", + " [1] \u001b[0m\u001b[1mmacro expansion\u001b[22m\n", + "\u001b[90m @\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4mloading.jl:2299\u001b[24m\u001b[39m\u001b[90m [inlined]\u001b[39m\n", + " [2] \u001b[0m\u001b[1mmacro expansion\u001b[22m\n", + "\u001b[90m @\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4mlock.jl:273\u001b[24m\u001b[39m\u001b[90m [inlined]\u001b[39m\n", + " [3] \u001b[0m\u001b[1m__require\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90minto\u001b[39m::\u001b[0mModule, \u001b[90mmod\u001b[39m::\u001b[0mSymbol\u001b[0m\u001b[1m)\u001b[22m\n", + "\u001b[90m @\u001b[39m \u001b[90mBase\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4mloading.jl:2271\u001b[24m\u001b[39m\n", + " [4] \u001b[0m\u001b[1m#invoke_in_world#3\u001b[22m\n", + "\u001b[90m @\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4messentials.jl:1089\u001b[24m\u001b[39m\u001b[90m [inlined]\u001b[39m\n", + " [5] \u001b[0m\u001b[1minvoke_in_world\u001b[22m\n", + "\u001b[90m @\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4messentials.jl:1086\u001b[24m\u001b[39m\u001b[90m [inlined]\u001b[39m\n", + " [6] \u001b[0m\u001b[1mrequire\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90minto\u001b[39m::\u001b[0mModule, \u001b[90mmod\u001b[39m::\u001b[0mSymbol\u001b[0m\u001b[1m)\u001b[22m\n", + "\u001b[90m @\u001b[39m \u001b[90mBase\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4mloading.jl:2260\u001b[24m\u001b[39m\n", + " [7] \u001b[0m\u001b[1minclude\u001b[22m\n", + "\u001b[90m @\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4mBase.jl:557\u001b[24m\u001b[39m\u001b[90m [inlined]\u001b[39m\n", + " [8] \u001b[0m\u001b[1minclude_package_for_output\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90mpkg\u001b[39m::\u001b[0mBase.PkgId, \u001b[90minput\u001b[39m::\u001b[0mString, \u001b[90mdepot_path\u001b[39m::\u001b[0mVector\u001b[90m{String}\u001b[39m, \u001b[90mdl_load_path\u001b[39m::\u001b[0mVector\u001b[90m{String}\u001b[39m, \u001b[90mload_path\u001b[39m::\u001b[0mVector\u001b[90m{String}\u001b[39m, \u001b[90mconcrete_deps\u001b[39m::\u001b[0mVector\u001b[90m{Pair{Base.PkgId, UInt128}}\u001b[39m, \u001b[90msource\u001b[39m::\u001b[0mString\u001b[0m\u001b[1m)\u001b[22m\n", + "\u001b[90m @\u001b[39m \u001b[90mBase\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4mloading.jl:2881\u001b[24m\u001b[39m\n", + " [9] top-level scope\n", + "\u001b[90m @\u001b[39m \u001b[90m\u001b[4mstdin:6\u001b[24m\u001b[39m\n", + "in expression starting at /Users/harrywanghc/Developer/2025/JuliaHEPForkToMain/JetReconstruction.jl/ext/JetFlavourTagging/JetFlavourTagging.jl:1\n", + "in expression starting at stdin:6\n", + "┌ Error: Error during loading of extension JetFlavourTagging of JetReconstruction, use `Base.retry_load_extensions()` to retry.\n", + "│ exception = \u001b[0m1-element ExceptionStack:\n", + "Failed to precompile JetFlavourTagging [8e156e8a-6ef0-5432-a595-be8ab206b22c] to \"/Users/harrywanghc/.julia/compiled/v1.11/JetFlavourTagging/jl_miufo3\".\n", + "Stacktrace:\n", + " [1] \u001b[0m\u001b[1merror\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90ms\u001b[39m::\u001b[0mString\u001b[0m\u001b[1m)\u001b[22m\n", + "\u001b[90m @\u001b[39m \u001b[90mBase\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4merror.jl:35\u001b[24m\u001b[39m\n", + " [2] \u001b[0m\u001b[1mcompilecache\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90mpkg\u001b[39m::\u001b[0mBase.PkgId, \u001b[90mpath\u001b[39m::\u001b[0mString, \u001b[90minternal_stderr\u001b[39m::\u001b[0mIO, \u001b[90minternal_stdout\u001b[39m::\u001b[0mIO, \u001b[90mkeep_loaded_modules\u001b[39m::\u001b[0mBool; \u001b[90mflags\u001b[39m::\u001b[0mCmd, \u001b[90mcacheflags\u001b[39m::\u001b[0mBase.CacheFlags, \u001b[90mreasons\u001b[39m::\u001b[0mDict\u001b[90m{String, Int64}\u001b[39m, \u001b[90mloadable_exts\u001b[39m::\u001b[0mVector\u001b[90m{Base.PkgId}\u001b[39m\u001b[0m\u001b[1m)\u001b[22m\n", + "\u001b[90m @\u001b[39m \u001b[90mBase\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4mloading.jl:3174\u001b[24m\u001b[39m\n", + " [3] \u001b[0m\u001b[1m(::Base.var\"#1110#1111\"{Base.PkgId})\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[0m\u001b[1m)\u001b[22m\n", + "\u001b[90m @\u001b[39m \u001b[90mBase\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4mloading.jl:2579\u001b[24m\u001b[39m\n", + " [4] \u001b[0m\u001b[1mmkpidlock\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90mf\u001b[39m::\u001b[0mBase.var\"#1110#1111\"\u001b[90m{Base.PkgId}\u001b[39m, \u001b[90mat\u001b[39m::\u001b[0mString, \u001b[90mpid\u001b[39m::\u001b[0mInt32; \u001b[90mkwopts\u001b[39m::\u001b[0m@Kwargs\u001b[90m{stale_age::Int64, wait::Bool}\u001b[39m\u001b[0m\u001b[1m)\u001b[22m\n", + "\u001b[90m @\u001b[39m \u001b[35mFileWatching.Pidfile\u001b[39m \u001b[90m~/.julia/juliaup/julia-1.11.5+0.aarch64.apple.darwin14/share/julia/stdlib/v1.11/FileWatching/src/\u001b[39m\u001b[90m\u001b[4mpidfile.jl:95\u001b[24m\u001b[39m\n", + " [5] \u001b[0m\u001b[1m#mkpidlock#6\u001b[22m\n", + "\u001b[90m @\u001b[39m \u001b[90m~/.julia/juliaup/julia-1.11.5+0.aarch64.apple.darwin14/share/julia/stdlib/v1.11/FileWatching/src/\u001b[39m\u001b[90m\u001b[4mpidfile.jl:90\u001b[24m\u001b[39m\u001b[90m [inlined]\u001b[39m\n", + " [6] \u001b[0m\u001b[1mtrymkpidlock\u001b[22m\u001b[0m\u001b[1m(\u001b[22m::\u001b[0mFunction, ::\u001b[0mVararg\u001b[90m{Any}\u001b[39m; \u001b[90mkwargs\u001b[39m::\u001b[0m@Kwargs\u001b[90m{stale_age::Int64}\u001b[39m\u001b[0m\u001b[1m)\u001b[22m\n", + "\u001b[90m @\u001b[39m \u001b[35mFileWatching.Pidfile\u001b[39m \u001b[90m~/.julia/juliaup/julia-1.11.5+0.aarch64.apple.darwin14/share/julia/stdlib/v1.11/FileWatching/src/\u001b[39m\u001b[90m\u001b[4mpidfile.jl:116\u001b[24m\u001b[39m\n", + " [7] \u001b[0m\u001b[1m#invokelatest#2\u001b[22m\n", + "\u001b[90m @\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4messentials.jl:1057\u001b[24m\u001b[39m\u001b[90m [inlined]\u001b[39m\n", + " [8] \u001b[0m\u001b[1minvokelatest\u001b[22m\n", + "\u001b[90m @\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4messentials.jl:1052\u001b[24m\u001b[39m\u001b[90m [inlined]\u001b[39m\n", + " [9] \u001b[0m\u001b[1mmaybe_cachefile_lock\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90mf\u001b[39m::\u001b[0mBase.var\"#1110#1111\"\u001b[90m{Base.PkgId}\u001b[39m, \u001b[90mpkg\u001b[39m::\u001b[0mBase.PkgId, \u001b[90msrcpath\u001b[39m::\u001b[0mString; \u001b[90mstale_age\u001b[39m::\u001b[0mInt64\u001b[0m\u001b[1m)\u001b[22m\n", + "\u001b[90m @\u001b[39m \u001b[90mBase\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4mloading.jl:3698\u001b[24m\u001b[39m\n", + " [10] \u001b[0m\u001b[1mmaybe_cachefile_lock\u001b[22m\n", + "\u001b[90m @\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4mloading.jl:3695\u001b[24m\u001b[39m\u001b[90m [inlined]\u001b[39m\n", + " [11] \u001b[0m\u001b[1m_require\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90mpkg\u001b[39m::\u001b[0mBase.PkgId, \u001b[90menv\u001b[39m::\u001b[0mNothing\u001b[0m\u001b[1m)\u001b[22m\n", + "\u001b[90m @\u001b[39m \u001b[90mBase\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4mloading.jl:2565\u001b[24m\u001b[39m\n", + " [12] \u001b[0m\u001b[1m__require_prelocked\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90muuidkey\u001b[39m::\u001b[0mBase.PkgId, 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" [17] \u001b[0m\u001b[1mrun_extension_callbacks\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90mextid\u001b[39m::\u001b[0mBase.ExtensionId\u001b[0m\u001b[1m)\u001b[22m\n", + "\u001b[90m @\u001b[39m \u001b[90mBase\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4mloading.jl:1544\u001b[24m\u001b[39m\n", + " [18] \u001b[0m\u001b[1mrun_extension_callbacks\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90mpkgid\u001b[39m::\u001b[0mBase.PkgId\u001b[0m\u001b[1m)\u001b[22m\n", + "\u001b[90m @\u001b[39m \u001b[90mBase\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4mloading.jl:1576\u001b[24m\u001b[39m\n", + " [19] \u001b[0m\u001b[1mrun_package_callbacks\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90mmodkey\u001b[39m::\u001b[0mBase.PkgId\u001b[0m\u001b[1m)\u001b[22m\n", + "\u001b[90m @\u001b[39m \u001b[90mBase\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4mloading.jl:1396\u001b[24m\u001b[39m\n", + " [20] 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"\u001b[90m @\u001b[39m \u001b[90mBase\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4mloading.jl:2734\u001b[24m\u001b[39m\n", + " [32] \u001b[0m\u001b[1m#invokelatest#2\u001b[22m\n", + "\u001b[90m @\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4messentials.jl:1055\u001b[24m\u001b[39m\u001b[90m [inlined]\u001b[39m\n", + " [33] \u001b[0m\u001b[1minvokelatest\u001b[22m\n", + "\u001b[90m @\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4messentials.jl:1052\u001b[24m\u001b[39m\u001b[90m [inlined]\u001b[39m\n", + " [34] \u001b[0m\u001b[1m(::VSCodeServer.var\"#217#218\"{VSCodeServer.NotebookRunCellArguments, String})\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[0m\u001b[1m)\u001b[22m\n", + "\u001b[90m @\u001b[39m \u001b[36mVSCodeServer\u001b[39m \u001b[90m~/.vscode/extensions/julialang.language-julia-1.144.2/scripts/packages/VSCodeServer/src/\u001b[39m\u001b[90m\u001b[4mserve_notebook.jl:24\u001b[24m\u001b[39m\n", + " [35] \u001b[0m\u001b[1mwithpath\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90mf\u001b[39m::\u001b[0mVSCodeServer.var\"#217#218\"\u001b[90m{VSCodeServer.NotebookRunCellArguments, String}\u001b[39m, \u001b[90mpath\u001b[39m::\u001b[0mString\u001b[0m\u001b[1m)\u001b[22m\n", + "\u001b[90m @\u001b[39m \u001b[36mVSCodeServer\u001b[39m \u001b[90m~/.vscode/extensions/julialang.language-julia-1.144.2/scripts/packages/VSCodeServer/src/\u001b[39m\u001b[90m\u001b[4mrepl.jl:276\u001b[24m\u001b[39m\n", + " [36] \u001b[0m\u001b[1mnotebook_runcell_request\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90mconn\u001b[39m::\u001b[0mVSCodeServer.JSONRPC.JSONRPCEndpoint\u001b[90m{Base.PipeEndpoint, Base.PipeEndpoint, VSCodeServer.JSON.Serializations.StandardSerialization}\u001b[39m, \u001b[90mparams\u001b[39m::\u001b[0mVSCodeServer.NotebookRunCellArguments, \u001b[90mtoken\u001b[39m::\u001b[0mVSCodeServer.CancellationTokens.CancellationToken\u001b[0m\u001b[1m)\u001b[22m\n", + "\u001b[90m @\u001b[39m 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\u001b[90mdebugger_pipename\u001b[39m::\u001b[0mString, \u001b[90moutputchannel_logger\u001b[39m::\u001b[0mBase.CoreLogging.SimpleLogger; \u001b[90merror_handler\u001b[39m::\u001b[0mvar\"#5#10\"\u001b[90m{String}\u001b[39m\u001b[0m\u001b[1m)\u001b[22m\n", + "\u001b[90m @\u001b[39m \u001b[36mVSCodeServer\u001b[39m \u001b[90m~/.vscode/extensions/julialang.language-julia-1.144.2/scripts/packages/VSCodeServer/src/\u001b[39m\u001b[90m\u001b[4mserve_notebook.jl:147\u001b[24m\u001b[39m\n", + " [39] top-level scope\n", + "\u001b[90m @\u001b[39m \u001b[90m~/.vscode/extensions/julialang.language-julia-1.144.2/scripts/notebook/\u001b[39m\u001b[90m\u001b[4mnotebook.jl:35\u001b[24m\u001b[39m\n", + " [40] \u001b[0m\u001b[1minclude\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90mmod\u001b[39m::\u001b[0mModule, \u001b[90m_path\u001b[39m::\u001b[0mString\u001b[0m\u001b[1m)\u001b[22m\n", + "\u001b[90m @\u001b[39m \u001b[90mBase\u001b[39m 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\u001b[90m[5c1252a2] \u001b[39mGeometryBasics v0.5.7\n", + " \u001b[90m[7073ff75] \u001b[39mIJulia v1.27.0\n", + " \u001b[90m[682c06a0] \u001b[39mJSON v0.21.4\n", + " \u001b[90m[44e8cb2c] \u001b[39mJetReconstruction v0.5.0-dev `~/Developer/2025/JuliaHEPForkToMain/JetReconstruction.jl`\n", + " \u001b[90m[98e50ef6] \u001b[39mJuliaFormatter v2.1.2\n", + "\u001b[32m⌃\u001b[39m \u001b[90m[f612022c] \u001b[39mLorentzVectorHEP v0.1.6\n", + " \u001b[90m[e034b28e] \u001b[39mONNXRunTime v1.3.1\n", + " \u001b[90m[91a5bcdd] \u001b[39mPlots v1.40.13\n", + " \u001b[90m[90137ffa] \u001b[39mStaticArrays v1.9.13\n", + " \u001b[90m[10745b16] \u001b[39mStatistics v1.11.1\n", + " \u001b[90m[2913bbd2] \u001b[39mStatsBase v0.34.5\n", + "\u001b[33m⌅\u001b[39m \u001b[90m[09ab397b] \u001b[39mStructArrays v0.6.21\n", + "\u001b[32m⌃\u001b[39m \u001b[90m[1e6cf692] \u001b[39mTestEnv v1.102.0\n", + " \u001b[90m[3cd96dde] \u001b[39mUnROOT v0.10.36\n", + " \u001b[90m[37e2e46d] \u001b[39mLinearAlgebra v1.11.0\n", + "\u001b[36m\u001b[1mInfo\u001b[22m\u001b[39m Packages marked with \u001b[32m⌃\u001b[39m and \u001b[33m⌅\u001b[39m have new versions available. Those with \u001b[32m⌃\u001b[39m may be upgradable, but those with \u001b[33m⌅\u001b[39m are restricted by compatibility constraints from upgrading. To see why use `status --outdated`\n" + ] + } + ], "source": [ "using Pkg\n", "Pkg.resolve()\n", - "Pkg.develop(Pkg.PackageSpec(path = \"/Users/harrywanghc/Developer/2025/HarryFork/JetReconstruction.jl\"))\n", + "Pkg.develop(Pkg.PackageSpec(path = \"/Users/harrywanghc/Developer/2025/JuliaHEPForkToMain/JetReconstruction.jl\"))\n", "using JetReconstruction\n", "Pkg.status()" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "id": "379f4304", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The model predicts these flavor classes:\n", + " - recojet_isG\n", + " - recojet_isQ\n", + " - recojet_isS\n", + " - recojet_isC\n", + " - recojet_isB\n" + ] + } + ], "source": [ "# Paths to model files\n", "model_dir = \"data/wc_pt_7classes_12_04_2023\"\n", @@ -55,10 +225,21 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "id": "51c71156", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loaded 100000 events\n", + "Processing event #15\n", + "Loaded 65 reconstructed particles\n", + "Loaded 29 tracks\n" + ] + } + ], "source": [ "# Path to ROOT file with EDM4hep data\n", "edm4hep_path = \"data/events_080263084.root\"\n", @@ -93,10 +274,29 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "id": "f96fe81b", "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "MethodError", + "evalue": "MethodError: no method matching build_constituents_cluster(::StructVector{ReconstructedParticle, @NamedTuple{index::StructVector{ObjectID{ReconstructedParticle}, @NamedTuple{index::Vector{Int64}, collectionID::Vector{UInt32}}, Int64}, type::SubArray{Int32, 1, Vector{Int32}, Tuple{UnitRange{Int64}}, true}, energy::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, momentum::StructVector{Vector3f, @NamedTuple{x::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, y::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, z::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}}, Int64}, referencePoint::StructVector{Vector3f, @NamedTuple{x::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, y::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, z::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}}, Int64}, charge::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, mass::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, goodnessOfPID::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, covMatrix::StructVector{SVector{10, Float32}, NTuple{10, SubArray{Float32, 1, Base.ReshapedArray{Float32, 2, SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, Tuple{}}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}}, true}}, Int64}, clusters::StructVector{Relation{ReconstructedParticle, Cluster, 1}, @NamedTuple{first::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, last::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, collid::Vector{UInt32}}, Int64}, tracks::StructVector{Relation{ReconstructedParticle, Track, 2}, @NamedTuple{first::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, last::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, collid::Vector{UInt32}}, Int64}, particles::StructVector{Relation{ReconstructedParticle, ReconstructedParticle, 3}, @NamedTuple{first::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, last::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, collid::Vector{UInt32}}, Int64}, particleIDs::StructVector{Relation{ReconstructedParticle, ParticleID, 4}, @NamedTuple{first::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, last::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, collid::Vector{UInt32}}, Int64}, startVertex_idx::StructVector{ObjectID{Vertex}, @NamedTuple{index::SubArray{Int32, 1, Vector{Int32}, Tuple{UnitRange{Int64}}, true}, collectionID::SubArray{Int32, 1, Vector{Int32}, Tuple{UnitRange{Int64}}, true}}, Int64}, particleIDUsed_idx::StructVector{ObjectID{ParticleID}, @NamedTuple{index::SubArray{Int32, 1, Vector{Int32}, Tuple{UnitRange{Int64}}, true}, collectionID::SubArray{Int32, 1, Vector{Int32}, Tuple{UnitRange{Int64}}, true}}, Int64}}, Int64}, ::Vector{Vector{Int64}})\nThe function `build_constituents_cluster` exists, but no method is defined for this combination of argument types.\n\nClosest candidates are:\n build_constituents_cluster()\n @ JetReconstruction ~/Developer/2025/JuliaHEPForkToMain/JetReconstruction.jl/src/JetReconstruction.jl:98\n", + "output_type": "error", + "traceback": [ + "MethodError: no method matching build_constituents_cluster(::StructVector{ReconstructedParticle, @NamedTuple{index::StructVector{ObjectID{ReconstructedParticle}, @NamedTuple{index::Vector{Int64}, collectionID::Vector{UInt32}}, Int64}, type::SubArray{Int32, 1, Vector{Int32}, Tuple{UnitRange{Int64}}, true}, energy::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, momentum::StructVector{Vector3f, @NamedTuple{x::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, y::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, z::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}}, Int64}, referencePoint::StructVector{Vector3f, @NamedTuple{x::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, y::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, z::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}}, Int64}, charge::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, mass::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, goodnessOfPID::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, covMatrix::StructVector{SVector{10, Float32}, NTuple{10, SubArray{Float32, 1, Base.ReshapedArray{Float32, 2, SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, Tuple{}}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}}, true}}, Int64}, clusters::StructVector{Relation{ReconstructedParticle, Cluster, 1}, @NamedTuple{first::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, last::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, collid::Vector{UInt32}}, Int64}, tracks::StructVector{Relation{ReconstructedParticle, Track, 2}, @NamedTuple{first::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, last::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, collid::Vector{UInt32}}, Int64}, particles::StructVector{Relation{ReconstructedParticle, ReconstructedParticle, 3}, @NamedTuple{first::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, last::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, collid::Vector{UInt32}}, Int64}, particleIDs::StructVector{Relation{ReconstructedParticle, ParticleID, 4}, @NamedTuple{first::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, last::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, collid::Vector{UInt32}}, Int64}, startVertex_idx::StructVector{ObjectID{Vertex}, @NamedTuple{index::SubArray{Int32, 1, Vector{Int32}, Tuple{UnitRange{Int64}}, true}, collectionID::SubArray{Int32, 1, Vector{Int32}, Tuple{UnitRange{Int64}}, true}}, Int64}, particleIDUsed_idx::StructVector{ObjectID{ParticleID}, @NamedTuple{index::SubArray{Int32, 1, Vector{Int32}, Tuple{UnitRange{Int64}}, true}, collectionID::SubArray{Int32, 1, Vector{Int32}, Tuple{UnitRange{Int64}}, true}}, Int64}}, Int64}, ::Vector{Vector{Int64}})\n", + "The function `build_constituents_cluster` exists, but no method is defined for this combination of argument types.\n", + "\n", + "Closest candidates are:\n", + " build_constituents_cluster()\n", + " @ JetReconstruction ~/Developer/2025/JuliaHEPForkToMain/JetReconstruction.jl/src/JetReconstruction.jl:98\n", + "\n", + "\n", + "Stacktrace:\n", + " [1] top-level scope\n", + " @ ~/Developer/2025/JuliaHEPForkToMain/JetReconstruction.jl/examples/flavour-tagging/jl_notebook_cell_df34fa98e69747e1a8f8a730347b8e2f_W4sZmlsZQ==.jl:9" + ] + } + ], "source": [ "# Cluster jets using the EEkt algorithm with R=2.0 and p=1.0\n", "cs = jet_reconstruct(recps; p = 1.0, R = 2.0, algorithm = JetAlgorithm.EEKt)\n", @@ -109,6 +309,26 @@ "jet_constituents = build_constituents_cluster(recps, constituent_indices)" ] }, + { + "cell_type": "code", + "execution_count": 7, + "id": "7544d6b6", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Vector{Vector{Int64}}\u001b[90m (alias for \u001b[39m\u001b[90mArray{Array{Int64, 1}, 1}\u001b[39m\u001b[90m)\u001b[39m" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "typeof(constituent_indices)" + ] + }, { "cell_type": "code", "execution_count": null, diff --git a/ext/JetFlavourTagging/JetConstituentBuilder.jl b/ext/JetFlavourTagging/JetConstituentBuilder.jl index daf815aa..6acafd85 100644 --- a/ext/JetFlavourTagging/JetConstituentBuilder.jl +++ b/ext/JetFlavourTagging/JetConstituentBuilder.jl @@ -31,7 +31,7 @@ Build the collection of constituents using cluster indices. # Returns A vector of JetConstituents, each containing the constituents for a specific cluster. """ -function build_constituents_cluster(rps::JetConstituents, indices::Vector{Vector{Int}}) +function build_constituents_cluster(rps::JetConstituents, indices::Vector{Vector{Int64}}) jcs = Vector{JetConstituents}() for jet_indices in indices jc = rps[jet_indices] diff --git a/ext/JetFlavourTagging/JetFlavourTagging.jl b/ext/JetFlavourTagging/JetFlavourTagging.jl index 7fa9899f..390b5808 100644 --- a/ext/JetFlavourTagging/JetFlavourTagging.jl +++ b/ext/JetFlavourTagging/JetFlavourTagging.jl @@ -20,7 +20,7 @@ function JetReconstruction.build_constituents(jets::JetConstituents, end function JetReconstruction.build_constituents_cluster(rps::JetConstituents, - indices::Vector{Vector{Int}}) + indices::Vector{Vector{Int64}}) JetConstituentBuilder.build_constituents_cluster(rps, indices) end @@ -37,7 +37,7 @@ include("JetFlavourHelper.jl") # extract_features, setup_weaver, prepare_input_tensor, get_weights, get_weight function JetReconstruction.extract_features(jets::Vector{EEJet}, jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, - tracks::StructVector{EDM4hep.TrackState}, bz::Float32 = 2.0f0, + tracks::StructVector{EDM4hep.TrackState}, bz::Float32, track_L::AbstractArray{T} where T <: AbstractFloat, trackdata::StructVector{EDM4hep.Track}=StructVector{EDM4hep.Track}(), trackerhits::StructVector{EDM4hep.TrackerHit}=StructVector{EDM4hep.TrackerHit}(), From c331c66fa0cd910e6d24ac1ec4801588f48eec53 Mon Sep 17 00:00:00 2001 From: Harry Date: Thu, 12 Jun 2025 00:40:10 -0400 Subject: [PATCH 12/47] Update simple-flavour-tagging.ipynb --- .../simple-flavour-tagging.ipynb | 190 ++++-------------- 1 file changed, 37 insertions(+), 153 deletions(-) diff --git a/examples/flavour-tagging/simple-flavour-tagging.ipynb b/examples/flavour-tagging/simple-flavour-tagging.ipynb index 5158facc..8c7e3bb6 100644 --- a/examples/flavour-tagging/simple-flavour-tagging.ipynb +++ b/examples/flavour-tagging/simple-flavour-tagging.ipynb @@ -29,127 +29,8 @@ "\u001b[32m\u001b[1m No Changes\u001b[22m\u001b[39m to `~/.julia/environments/v1.11/Project.toml`\n", "\u001b[32m\u001b[1m No Changes\u001b[22m\u001b[39m to `~/.julia/environments/v1.11/Manifest.toml`\n", "\u001b[32m\u001b[1m Resolving\u001b[22m\u001b[39m package versions...\n", - "\u001b[32m\u001b[1m Updating\u001b[22m\u001b[39m `~/.julia/environments/v1.11/Project.toml`\n", - " \u001b[90m[44e8cb2c] \u001b[39m\u001b[93m~ JetReconstruction v0.4.7 `~/Developer/2025/HarryFork/JetReconstruction.jl` ⇒ v0.5.0-dev `~/Developer/2025/JuliaHEPForkToMain/JetReconstruction.jl`\u001b[39m\n", - "\u001b[32m\u001b[1m Updating\u001b[22m\u001b[39m `~/.julia/environments/v1.11/Manifest.toml`\n", - " \u001b[90m[44e8cb2c] \u001b[39m\u001b[93m~ JetReconstruction v0.4.7 `~/Developer/2025/HarryFork/JetReconstruction.jl` ⇒ v0.5.0-dev `~/Developer/2025/JuliaHEPForkToMain/JetReconstruction.jl`\u001b[39m\n", - "\u001b[91m\u001b[1mERROR: \u001b[22m\u001b[39mLoadError: ArgumentError: Package JetFlavourTagging does not have JSON in its dependencies:\n", - "- You may have a partially installed environment. Try `Pkg.instantiate()`\n", - " to ensure all packages in the environment are installed.\n", - "- Or, if you have JetFlavourTagging checked out for development and have\n", - " added JSON as a dependency but haven't updated your primary\n", - " environment's manifest file, try `Pkg.resolve()`.\n", - "- Otherwise you may need to report an issue with JetFlavourTagging\n", - "Stacktrace:\n", - " [1] \u001b[0m\u001b[1mmacro expansion\u001b[22m\n", - "\u001b[90m @\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4mloading.jl:2299\u001b[24m\u001b[39m\u001b[90m [inlined]\u001b[39m\n", - " [2] \u001b[0m\u001b[1mmacro expansion\u001b[22m\n", - "\u001b[90m @\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4mlock.jl:273\u001b[24m\u001b[39m\u001b[90m [inlined]\u001b[39m\n", - " [3] \u001b[0m\u001b[1m__require\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90minto\u001b[39m::\u001b[0mModule, \u001b[90mmod\u001b[39m::\u001b[0mSymbol\u001b[0m\u001b[1m)\u001b[22m\n", - "\u001b[90m @\u001b[39m \u001b[90mBase\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4mloading.jl:2271\u001b[24m\u001b[39m\n", - " [4] \u001b[0m\u001b[1m#invoke_in_world#3\u001b[22m\n", - "\u001b[90m @\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4messentials.jl:1089\u001b[24m\u001b[39m\u001b[90m [inlined]\u001b[39m\n", - " [5] \u001b[0m\u001b[1minvoke_in_world\u001b[22m\n", - "\u001b[90m @\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4messentials.jl:1086\u001b[24m\u001b[39m\u001b[90m [inlined]\u001b[39m\n", - " [6] \u001b[0m\u001b[1mrequire\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90minto\u001b[39m::\u001b[0mModule, \u001b[90mmod\u001b[39m::\u001b[0mSymbol\u001b[0m\u001b[1m)\u001b[22m\n", - "\u001b[90m @\u001b[39m \u001b[90mBase\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4mloading.jl:2260\u001b[24m\u001b[39m\n", - " [7] \u001b[0m\u001b[1minclude\u001b[22m\n", - "\u001b[90m @\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4mBase.jl:557\u001b[24m\u001b[39m\u001b[90m [inlined]\u001b[39m\n", - " [8] \u001b[0m\u001b[1minclude_package_for_output\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90mpkg\u001b[39m::\u001b[0mBase.PkgId, \u001b[90minput\u001b[39m::\u001b[0mString, \u001b[90mdepot_path\u001b[39m::\u001b[0mVector\u001b[90m{String}\u001b[39m, \u001b[90mdl_load_path\u001b[39m::\u001b[0mVector\u001b[90m{String}\u001b[39m, \u001b[90mload_path\u001b[39m::\u001b[0mVector\u001b[90m{String}\u001b[39m, \u001b[90mconcrete_deps\u001b[39m::\u001b[0mVector\u001b[90m{Pair{Base.PkgId, UInt128}}\u001b[39m, \u001b[90msource\u001b[39m::\u001b[0mString\u001b[0m\u001b[1m)\u001b[22m\n", - "\u001b[90m @\u001b[39m \u001b[90mBase\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4mloading.jl:2881\u001b[24m\u001b[39m\n", - " [9] top-level scope\n", - "\u001b[90m @\u001b[39m \u001b[90m\u001b[4mstdin:6\u001b[24m\u001b[39m\n", - "in expression starting at /Users/harrywanghc/Developer/2025/JuliaHEPForkToMain/JetReconstruction.jl/ext/JetFlavourTagging/JetFlavourTagging.jl:1\n", - "in expression starting at stdin:6\n", - "┌ Error: Error during loading of extension JetFlavourTagging of JetReconstruction, use `Base.retry_load_extensions()` to retry.\n", - "│ exception = \u001b[0m1-element ExceptionStack:\n", - "Failed to precompile JetFlavourTagging [8e156e8a-6ef0-5432-a595-be8ab206b22c] to \"/Users/harrywanghc/.julia/compiled/v1.11/JetFlavourTagging/jl_miufo3\".\n", - "Stacktrace:\n", - " [1] \u001b[0m\u001b[1merror\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90ms\u001b[39m::\u001b[0mString\u001b[0m\u001b[1m)\u001b[22m\n", - "\u001b[90m @\u001b[39m \u001b[90mBase\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4merror.jl:35\u001b[24m\u001b[39m\n", - " [2] \u001b[0m\u001b[1mcompilecache\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90mpkg\u001b[39m::\u001b[0mBase.PkgId, \u001b[90mpath\u001b[39m::\u001b[0mString, \u001b[90minternal_stderr\u001b[39m::\u001b[0mIO, \u001b[90minternal_stdout\u001b[39m::\u001b[0mIO, \u001b[90mkeep_loaded_modules\u001b[39m::\u001b[0mBool; \u001b[90mflags\u001b[39m::\u001b[0mCmd, \u001b[90mcacheflags\u001b[39m::\u001b[0mBase.CacheFlags, \u001b[90mreasons\u001b[39m::\u001b[0mDict\u001b[90m{String, Int64}\u001b[39m, \u001b[90mloadable_exts\u001b[39m::\u001b[0mVector\u001b[90m{Base.PkgId}\u001b[39m\u001b[0m\u001b[1m)\u001b[22m\n", - "\u001b[90m @\u001b[39m \u001b[90mBase\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4mloading.jl:3174\u001b[24m\u001b[39m\n", - " [3] \u001b[0m\u001b[1m(::Base.var\"#1110#1111\"{Base.PkgId})\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[0m\u001b[1m)\u001b[22m\n", - "\u001b[90m @\u001b[39m \u001b[90mBase\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4mloading.jl:2579\u001b[24m\u001b[39m\n", - " [4] \u001b[0m\u001b[1mmkpidlock\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90mf\u001b[39m::\u001b[0mBase.var\"#1110#1111\"\u001b[90m{Base.PkgId}\u001b[39m, \u001b[90mat\u001b[39m::\u001b[0mString, \u001b[90mpid\u001b[39m::\u001b[0mInt32; \u001b[90mkwopts\u001b[39m::\u001b[0m@Kwargs\u001b[90m{stale_age::Int64, wait::Bool}\u001b[39m\u001b[0m\u001b[1m)\u001b[22m\n", - "\u001b[90m @\u001b[39m \u001b[35mFileWatching.Pidfile\u001b[39m \u001b[90m~/.julia/juliaup/julia-1.11.5+0.aarch64.apple.darwin14/share/julia/stdlib/v1.11/FileWatching/src/\u001b[39m\u001b[90m\u001b[4mpidfile.jl:95\u001b[24m\u001b[39m\n", - " [5] \u001b[0m\u001b[1m#mkpidlock#6\u001b[22m\n", - "\u001b[90m @\u001b[39m \u001b[90m~/.julia/juliaup/julia-1.11.5+0.aarch64.apple.darwin14/share/julia/stdlib/v1.11/FileWatching/src/\u001b[39m\u001b[90m\u001b[4mpidfile.jl:90\u001b[24m\u001b[39m\u001b[90m [inlined]\u001b[39m\n", - " [6] \u001b[0m\u001b[1mtrymkpidlock\u001b[22m\u001b[0m\u001b[1m(\u001b[22m::\u001b[0mFunction, ::\u001b[0mVararg\u001b[90m{Any}\u001b[39m; \u001b[90mkwargs\u001b[39m::\u001b[0m@Kwargs\u001b[90m{stale_age::Int64}\u001b[39m\u001b[0m\u001b[1m)\u001b[22m\n", - "\u001b[90m @\u001b[39m \u001b[35mFileWatching.Pidfile\u001b[39m \u001b[90m~/.julia/juliaup/julia-1.11.5+0.aarch64.apple.darwin14/share/julia/stdlib/v1.11/FileWatching/src/\u001b[39m\u001b[90m\u001b[4mpidfile.jl:116\u001b[24m\u001b[39m\n", - " [7] \u001b[0m\u001b[1m#invokelatest#2\u001b[22m\n", - "\u001b[90m @\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4messentials.jl:1057\u001b[24m\u001b[39m\u001b[90m [inlined]\u001b[39m\n", - " [8] \u001b[0m\u001b[1minvokelatest\u001b[22m\n", - "\u001b[90m @\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4messentials.jl:1052\u001b[24m\u001b[39m\u001b[90m [inlined]\u001b[39m\n", - " [9] \u001b[0m\u001b[1mmaybe_cachefile_lock\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90mf\u001b[39m::\u001b[0mBase.var\"#1110#1111\"\u001b[90m{Base.PkgId}\u001b[39m, \u001b[90mpkg\u001b[39m::\u001b[0mBase.PkgId, \u001b[90msrcpath\u001b[39m::\u001b[0mString; \u001b[90mstale_age\u001b[39m::\u001b[0mInt64\u001b[0m\u001b[1m)\u001b[22m\n", - "\u001b[90m @\u001b[39m \u001b[90mBase\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4mloading.jl:3698\u001b[24m\u001b[39m\n", - " [10] \u001b[0m\u001b[1mmaybe_cachefile_lock\u001b[22m\n", - "\u001b[90m @\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4mloading.jl:3695\u001b[24m\u001b[39m\u001b[90m [inlined]\u001b[39m\n", - " [11] \u001b[0m\u001b[1m_require\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90mpkg\u001b[39m::\u001b[0mBase.PkgId, \u001b[90menv\u001b[39m::\u001b[0mNothing\u001b[0m\u001b[1m)\u001b[22m\n", - "\u001b[90m @\u001b[39m \u001b[90mBase\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4mloading.jl:2565\u001b[24m\u001b[39m\n", - " [12] \u001b[0m\u001b[1m__require_prelocked\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90muuidkey\u001b[39m::\u001b[0mBase.PkgId, \u001b[90menv\u001b[39m::\u001b[0mNothing\u001b[0m\u001b[1m)\u001b[22m\n", - "\u001b[90m @\u001b[39m \u001b[90mBase\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4mloading.jl:2388\u001b[24m\u001b[39m\n", - " [13] \u001b[0m\u001b[1m#invoke_in_world#3\u001b[22m\n", - "\u001b[90m @\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4messentials.jl:1089\u001b[24m\u001b[39m\u001b[90m [inlined]\u001b[39m\n", - " [14] \u001b[0m\u001b[1minvoke_in_world\u001b[22m\n", - "\u001b[90m @\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4messentials.jl:1086\u001b[24m\u001b[39m\u001b[90m [inlined]\u001b[39m\n", - " [15] \u001b[0m\u001b[1m_require_prelocked\u001b[22m\n", - "\u001b[90m @\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4mloading.jl:2375\u001b[24m\u001b[39m\u001b[90m [inlined]\u001b[39m\n", - " [16] \u001b[0m\u001b[1m_require_prelocked\u001b[22m\n", - "\u001b[90m @\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4mloading.jl:2374\u001b[24m\u001b[39m\u001b[90m [inlined]\u001b[39m\n", - " [17] \u001b[0m\u001b[1mrun_extension_callbacks\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90mextid\u001b[39m::\u001b[0mBase.ExtensionId\u001b[0m\u001b[1m)\u001b[22m\n", - "\u001b[90m @\u001b[39m \u001b[90mBase\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4mloading.jl:1544\u001b[24m\u001b[39m\n", - " [18] \u001b[0m\u001b[1mrun_extension_callbacks\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90mpkgid\u001b[39m::\u001b[0mBase.PkgId\u001b[0m\u001b[1m)\u001b[22m\n", - "\u001b[90m @\u001b[39m \u001b[90mBase\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4mloading.jl:1576\u001b[24m\u001b[39m\n", - " [19] \u001b[0m\u001b[1mrun_package_callbacks\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90mmodkey\u001b[39m::\u001b[0mBase.PkgId\u001b[0m\u001b[1m)\u001b[22m\n", - "\u001b[90m @\u001b[39m \u001b[90mBase\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4mloading.jl:1396\u001b[24m\u001b[39m\n", - " [20] \u001b[0m\u001b[1m__require_prelocked\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90muuidkey\u001b[39m::\u001b[0mBase.PkgId, \u001b[90menv\u001b[39m::\u001b[0mString\u001b[0m\u001b[1m)\u001b[22m\n", - "\u001b[90m @\u001b[39m \u001b[90mBase\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4mloading.jl:2399\u001b[24m\u001b[39m\n", - " [21] \u001b[0m\u001b[1m#invoke_in_world#3\u001b[22m\n", - "\u001b[90m @\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4messentials.jl:1089\u001b[24m\u001b[39m\u001b[90m [inlined]\u001b[39m\n", - " [22] \u001b[0m\u001b[1minvoke_in_world\u001b[22m\n", - "\u001b[90m @\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4messentials.jl:1086\u001b[24m\u001b[39m\u001b[90m [inlined]\u001b[39m\n", - " [23] \u001b[0m\u001b[1m_require_prelocked\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90muuidkey\u001b[39m::\u001b[0mBase.PkgId, \u001b[90menv\u001b[39m::\u001b[0mString\u001b[0m\u001b[1m)\u001b[22m\n", - "\u001b[90m @\u001b[39m \u001b[90mBase\u001b[39m 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"\u001b[90m @\u001b[39m \u001b[90mBase\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4mloading.jl:2734\u001b[24m\u001b[39m\n", - " [32] \u001b[0m\u001b[1m#invokelatest#2\u001b[22m\n", - "\u001b[90m @\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4messentials.jl:1055\u001b[24m\u001b[39m\u001b[90m [inlined]\u001b[39m\n", - " [33] \u001b[0m\u001b[1minvokelatest\u001b[22m\n", - "\u001b[90m @\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4messentials.jl:1052\u001b[24m\u001b[39m\u001b[90m [inlined]\u001b[39m\n", - " [34] \u001b[0m\u001b[1m(::VSCodeServer.var\"#217#218\"{VSCodeServer.NotebookRunCellArguments, String})\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[0m\u001b[1m)\u001b[22m\n", - "\u001b[90m @\u001b[39m \u001b[36mVSCodeServer\u001b[39m \u001b[90m~/.vscode/extensions/julialang.language-julia-1.144.2/scripts/packages/VSCodeServer/src/\u001b[39m\u001b[90m\u001b[4mserve_notebook.jl:24\u001b[24m\u001b[39m\n", - " [35] \u001b[0m\u001b[1mwithpath\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90mf\u001b[39m::\u001b[0mVSCodeServer.var\"#217#218\"\u001b[90m{VSCodeServer.NotebookRunCellArguments, String}\u001b[39m, \u001b[90mpath\u001b[39m::\u001b[0mString\u001b[0m\u001b[1m)\u001b[22m\n", - "\u001b[90m @\u001b[39m \u001b[36mVSCodeServer\u001b[39m \u001b[90m~/.vscode/extensions/julialang.language-julia-1.144.2/scripts/packages/VSCodeServer/src/\u001b[39m\u001b[90m\u001b[4mrepl.jl:276\u001b[24m\u001b[39m\n", - " [36] \u001b[0m\u001b[1mnotebook_runcell_request\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90mconn\u001b[39m::\u001b[0mVSCodeServer.JSONRPC.JSONRPCEndpoint\u001b[90m{Base.PipeEndpoint, Base.PipeEndpoint, VSCodeServer.JSON.Serializations.StandardSerialization}\u001b[39m, \u001b[90mparams\u001b[39m::\u001b[0mVSCodeServer.NotebookRunCellArguments, \u001b[90mtoken\u001b[39m::\u001b[0mVSCodeServer.CancellationTokens.CancellationToken\u001b[0m\u001b[1m)\u001b[22m\n", - "\u001b[90m @\u001b[39m \u001b[36mVSCodeServer\u001b[39m \u001b[90m~/.vscode/extensions/julialang.language-julia-1.144.2/scripts/packages/VSCodeServer/src/\u001b[39m\u001b[90m\u001b[4mserve_notebook.jl:13\u001b[24m\u001b[39m\n", - " [37] \u001b[0m\u001b[1mdispatch_msg\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90mx\u001b[39m::\u001b[0mVSCodeServer.JSONRPC.JSONRPCEndpoint\u001b[90m{Base.PipeEndpoint, Base.PipeEndpoint, VSCodeServer.JSON.Serializations.StandardSerialization}\u001b[39m, \u001b[90mdispatcher\u001b[39m::\u001b[0mVSCodeServer.JSONRPC.MsgDispatcher, \u001b[90mmsg\u001b[39m::\u001b[0mVSCodeServer.JSONRPC.Request\u001b[0m\u001b[1m)\u001b[22m\n", - "\u001b[90m @\u001b[39m \u001b[36mVSCodeServer.JSONRPC\u001b[39m \u001b[90m~/.vscode/extensions/julialang.language-julia-1.144.2/scripts/packages/JSONRPC/src/\u001b[39m\u001b[90m\u001b[4mtyped.jl:68\u001b[24m\u001b[39m\n", - " [38] \u001b[0m\u001b[1mserve_notebook\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90mpipename\u001b[39m::\u001b[0mString, \u001b[90mdebugger_pipename\u001b[39m::\u001b[0mString, \u001b[90moutputchannel_logger\u001b[39m::\u001b[0mBase.CoreLogging.SimpleLogger; \u001b[90merror_handler\u001b[39m::\u001b[0mvar\"#5#10\"\u001b[90m{String}\u001b[39m\u001b[0m\u001b[1m)\u001b[22m\n", - "\u001b[90m @\u001b[39m \u001b[36mVSCodeServer\u001b[39m \u001b[90m~/.vscode/extensions/julialang.language-julia-1.144.2/scripts/packages/VSCodeServer/src/\u001b[39m\u001b[90m\u001b[4mserve_notebook.jl:147\u001b[24m\u001b[39m\n", - " [39] top-level scope\n", - "\u001b[90m @\u001b[39m \u001b[90m~/.vscode/extensions/julialang.language-julia-1.144.2/scripts/notebook/\u001b[39m\u001b[90m\u001b[4mnotebook.jl:35\u001b[24m\u001b[39m\n", - " [40] \u001b[0m\u001b[1minclude\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90mmod\u001b[39m::\u001b[0mModule, \u001b[90m_path\u001b[39m::\u001b[0mString\u001b[0m\u001b[1m)\u001b[22m\n", - "\u001b[90m @\u001b[39m \u001b[90mBase\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4mBase.jl:557\u001b[24m\u001b[39m\n", - " [41] \u001b[0m\u001b[1mexec_options\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90mopts\u001b[39m::\u001b[0mBase.JLOptions\u001b[0m\u001b[1m)\u001b[22m\n", - "\u001b[90m @\u001b[39m \u001b[90mBase\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4mclient.jl:323\u001b[24m\u001b[39m\n", - " [42] \u001b[0m\u001b[1m_start\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[0m\u001b[1m)\u001b[22m\n", - "\u001b[90m @\u001b[39m \u001b[90mBase\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4mclient.jl:531\u001b[24m\u001b[39m\n", - "└ @ Base loading.jl:1550\n" + "\u001b[32m\u001b[1m No Changes\u001b[22m\u001b[39m to `~/.julia/environments/v1.11/Project.toml`\n", + "\u001b[32m\u001b[1m No Changes\u001b[22m\u001b[39m to `~/.julia/environments/v1.11/Manifest.toml`\n" ] }, { @@ -279,22 +160,15 @@ "metadata": {}, "outputs": [ { - "ename": "MethodError", - "evalue": "MethodError: no method matching build_constituents_cluster(::StructVector{ReconstructedParticle, @NamedTuple{index::StructVector{ObjectID{ReconstructedParticle}, @NamedTuple{index::Vector{Int64}, collectionID::Vector{UInt32}}, Int64}, type::SubArray{Int32, 1, Vector{Int32}, Tuple{UnitRange{Int64}}, true}, energy::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, momentum::StructVector{Vector3f, @NamedTuple{x::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, y::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, z::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}}, Int64}, referencePoint::StructVector{Vector3f, @NamedTuple{x::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, y::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, z::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}}, Int64}, charge::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, mass::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, goodnessOfPID::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, covMatrix::StructVector{SVector{10, Float32}, NTuple{10, SubArray{Float32, 1, Base.ReshapedArray{Float32, 2, SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, Tuple{}}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}}, true}}, Int64}, clusters::StructVector{Relation{ReconstructedParticle, Cluster, 1}, @NamedTuple{first::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, last::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, collid::Vector{UInt32}}, Int64}, tracks::StructVector{Relation{ReconstructedParticle, Track, 2}, @NamedTuple{first::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, last::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, collid::Vector{UInt32}}, Int64}, particles::StructVector{Relation{ReconstructedParticle, ReconstructedParticle, 3}, @NamedTuple{first::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, last::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, collid::Vector{UInt32}}, Int64}, particleIDs::StructVector{Relation{ReconstructedParticle, ParticleID, 4}, @NamedTuple{first::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, last::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, collid::Vector{UInt32}}, Int64}, startVertex_idx::StructVector{ObjectID{Vertex}, @NamedTuple{index::SubArray{Int32, 1, Vector{Int32}, Tuple{UnitRange{Int64}}, true}, collectionID::SubArray{Int32, 1, Vector{Int32}, Tuple{UnitRange{Int64}}, true}}, Int64}, particleIDUsed_idx::StructVector{ObjectID{ParticleID}, @NamedTuple{index::SubArray{Int32, 1, Vector{Int32}, Tuple{UnitRange{Int64}}, true}, collectionID::SubArray{Int32, 1, Vector{Int32}, Tuple{UnitRange{Int64}}, true}}, Int64}}, Int64}, ::Vector{Vector{Int64}})\nThe function `build_constituents_cluster` exists, but no method is defined for this combination of argument types.\n\nClosest candidates are:\n build_constituents_cluster()\n @ JetReconstruction ~/Developer/2025/JuliaHEPForkToMain/JetReconstruction.jl/src/JetReconstruction.jl:98\n", - "output_type": "error", - "traceback": [ - "MethodError: no method matching build_constituents_cluster(::StructVector{ReconstructedParticle, @NamedTuple{index::StructVector{ObjectID{ReconstructedParticle}, @NamedTuple{index::Vector{Int64}, collectionID::Vector{UInt32}}, Int64}, type::SubArray{Int32, 1, Vector{Int32}, Tuple{UnitRange{Int64}}, true}, energy::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, momentum::StructVector{Vector3f, @NamedTuple{x::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, y::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, z::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}}, Int64}, referencePoint::StructVector{Vector3f, @NamedTuple{x::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, y::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, z::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}}, Int64}, charge::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, mass::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, goodnessOfPID::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, covMatrix::StructVector{SVector{10, Float32}, NTuple{10, SubArray{Float32, 1, Base.ReshapedArray{Float32, 2, SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, Tuple{}}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}}, true}}, Int64}, clusters::StructVector{Relation{ReconstructedParticle, Cluster, 1}, @NamedTuple{first::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, last::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, collid::Vector{UInt32}}, Int64}, tracks::StructVector{Relation{ReconstructedParticle, Track, 2}, @NamedTuple{first::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, last::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, collid::Vector{UInt32}}, Int64}, particles::StructVector{Relation{ReconstructedParticle, ReconstructedParticle, 3}, @NamedTuple{first::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, last::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, collid::Vector{UInt32}}, Int64}, particleIDs::StructVector{Relation{ReconstructedParticle, ParticleID, 4}, @NamedTuple{first::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, last::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, collid::Vector{UInt32}}, Int64}, startVertex_idx::StructVector{ObjectID{Vertex}, @NamedTuple{index::SubArray{Int32, 1, Vector{Int32}, Tuple{UnitRange{Int64}}, true}, collectionID::SubArray{Int32, 1, Vector{Int32}, Tuple{UnitRange{Int64}}, true}}, Int64}, particleIDUsed_idx::StructVector{ObjectID{ParticleID}, @NamedTuple{index::SubArray{Int32, 1, Vector{Int32}, Tuple{UnitRange{Int64}}, true}, collectionID::SubArray{Int32, 1, Vector{Int32}, Tuple{UnitRange{Int64}}, true}}, Int64}}, Int64}, ::Vector{Vector{Int64}})\n", - "The function `build_constituents_cluster` exists, but no method is defined for this combination of argument types.\n", - "\n", - "Closest candidates are:\n", - " build_constituents_cluster()\n", - " @ JetReconstruction ~/Developer/2025/JuliaHEPForkToMain/JetReconstruction.jl/src/JetReconstruction.jl:98\n", - "\n", - "\n", - "Stacktrace:\n", - " [1] top-level scope\n", - " @ ~/Developer/2025/JuliaHEPForkToMain/JetReconstruction.jl/examples/flavour-tagging/jl_notebook_cell_df34fa98e69747e1a8f8a730347b8e2f_W4sZmlsZQ==.jl:9" - ] + "data": { + "text/plain": [ + "2-element Vector{StructVector{ReconstructedParticle}}:\n", + " [ReconstructedParticle(#4, 0, 20.46865f0, (-19.487997, -1.9470071, 5.9491873), (0.0, 0.0, 0.0), -1.0f0, 0.00051099894f0, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[], Track#[4], ReconstructedParticle#[], ParticleID#[4], #0, #0), ReconstructedParticle(#1, 0, 41.66906f0, (-38.420082, -8.888379, -13.460811), (0.0, 0.0, 0.0), 1.0f0, 0.105658375f0, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[], Track#[1], ReconstructedParticle#[], ParticleID#[1], #0, #0), ReconstructedParticle(#30, 22, 5.97301f0, (-5.5111613, -1.3775525, -1.8456159), (0.0, 0.0, 0.0), 0.0f0, 0.00072206435f0, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[1], Track#[], ReconstructedParticle#[], ParticleID#[], #0, #0)]\n", + " [ReconstructedParticle(#49, 22, 0.038685087f0, (0.0016564546, 0.030539023, 0.023688823), (0.0, 0.0, 0.0), 0.0f0, -7.2657667f-6, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[20], Track#[], ReconstructedParticle#[], ParticleID#[], #0, #0), ReconstructedParticle(#50, 22, 0.07068448f0, (0.009334846, 0.04360084, 0.054846358), (0.0, 0.0, 0.0), 0.0f0, -1.211525f-5, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[21], Track#[], ReconstructedParticle#[], ParticleID#[], #0, #0), ReconstructedParticle(#20, 0, 2.3770719f0, (0.18115185, 0.92913306, 2.1759794), (0.0, 0.0, 0.0), -1.0f0, 0.13957039f0, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[], Track#[20], ReconstructedParticle#[], ParticleID#[20], #0, #0), ReconstructedParticle(#52, 22, 0.49115527f0, (0.044869967, 0.21402507, 0.43978798), (0.0, 0.0, 0.0), 0.0f0, -6.145881f-5, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[23], Track#[], ReconstructedParticle#[], ParticleID#[], #0, #0), ReconstructedParticle(#58, 22, 2.2526124f0, (-0.008166414, 0.70710534, 2.1387374), (0.0, 0.0, 0.0), 0.0f0, -0.00067013147f0, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[29], Track#[], ReconstructedParticle#[], ParticleID#[], #0, #0), ReconstructedParticle(#59, 22, 1.1003908f0, (-0.00017319276, 0.32061982, 1.0526457), (0.0, 0.0, 0.0), 0.0f0, -0.00021608449f0, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[30], Track#[], ReconstructedParticle#[], ParticleID#[], #0, #0), ReconstructedParticle(#54, 22, 1.757357f0, (0.08186126, 0.5793458, 1.6570942), (0.0, 0.0, 0.0), 0.0f0, -0.0007735479f0, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[25], Track#[], ReconstructedParticle#[], ParticleID#[], #0, #0), ReconstructedParticle(#56, 22, 5.843931f0, (0.19479804, 1.8359567, 5.5446234), (0.0, 0.0, 0.0), 0.0f0, -0.0012316033f0, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[27], Track#[], ReconstructedParticle#[], ParticleID#[], #0, #0), ReconstructedParticle(#25, 0, 2.5155842f0, (0.28472182, 0.63002336, 2.414682), (0.0, 0.0, 0.0), 1.0f0, 0.13957039f0, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[], Track#[25], ReconstructedParticle#[], ParticleID#[25], #0, #0), ReconstructedParticle(#53, 22, 0.10352973f0, (0.032321043, 0.012602998, 0.09754445), (0.0, 0.0, 0.0), 0.0f0, 2.5103373f-5, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[24], Track#[], ReconstructedParticle#[], ParticleID#[], #0, #0) … ReconstructedParticle(#36, 22, 1.2084657f0, (1.1462502, 0.09732889, 0.37017113), (0.0, 0.0, 0.0), 0.0f0, 9.1004724f-5, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[7], Track#[], ReconstructedParticle#[], ParticleID#[], #0, #0), ReconstructedParticle(#7, 0, 3.8613276f0, (3.6221685, -0.1164991, 1.3254038), (0.0, 0.0, 0.0), -1.0f0, 0.13957039f0, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[], Track#[7], ReconstructedParticle#[], ParticleID#[7], #0, #0), ReconstructedParticle(#11, 0, 4.4815288f0, (4.0670757, -0.13165577, 1.8724797), (0.0, 0.0, 0.0), -1.0f0, 0.13957039f0, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[], Track#[11], ReconstructedParticle#[], ParticleID#[11], #0, #0), ReconstructedParticle(#28, 0, 0.5223787f0, (0.4566623, 0.0062101614, 0.21170896), (0.0, 0.0, 0.0), -1.0f0, 0.13957039f0, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[], Track#[28], ReconstructedParticle#[], ParticleID#[28], #0, #0), ReconstructedParticle(#41, 22, 0.3654142f0, (0.33327267, 0.007723306, 0.14965703), (0.0, 0.0, 0.0), 0.0f0, 3.5387056f-5, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[12], Track#[], ReconstructedParticle#[], ParticleID#[], #0, #0), ReconstructedParticle(#10, 0, 1.0771525f0, (0.83581126, -0.55972606, 0.35903203), (0.0, 0.0, 0.0), -1.0f0, 0.13957039f0, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[], Track#[10], ReconstructedParticle#[], ParticleID#[10], #0, #0), ReconstructedParticle(#37, 22, 0.055122558f0, (0.046858095, -0.02121588, 0.0198167), (0.0, 0.0, 0.0), 0.0f0, 1.1097479f-5, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[8], Track#[], ReconstructedParticle#[], ParticleID#[], #0, #0), ReconstructedParticle(#17, 0, 1.157116f0, (0.7993353, -0.37195656, 0.73630774), (0.0, 0.0, 0.0), -1.0f0, 0.13957039f0, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[], Track#[17], ReconstructedParticle#[], ParticleID#[17], #0, #0), ReconstructedParticle(#46, 22, 0.7516057f0, (0.59814185, -0.19748434, 0.41004556), (0.0, 0.0, 0.0), 0.0f0, -6.0317438f-5, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[17], Track#[], ReconstructedParticle#[], ParticleID#[], #0, #0), ReconstructedParticle(#48, 22, 0.29473728f0, (0.23144196, -0.054464586, 0.1741789), (0.0, 0.0, 0.0), 0.0f0, 7.500272f-5, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[19], Track#[], ReconstructedParticle#[], ParticleID#[], #0, #0)]" + ] + }, + "metadata": {}, + "output_type": "display_data" } ], "source": [ @@ -311,30 +185,40 @@ }, { "cell_type": "code", - "execution_count": 7, - "id": "7544d6b6", + "execution_count": null, + "id": "348a6c05", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Vector{Vector{Int64}}\u001b[90m (alias for \u001b[39m\u001b[90mArray{Array{Int64, 1}, 1}\u001b[39m\u001b[90m)\u001b[39m" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "typeof(constituent_indices)" + "const JetConstituents = StructVector{ReconstructedParticle}\n", + "const JetConstituentsData = Vector{Float32}" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "id": "4f46c6c3", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Extracting features for flavor tagging...\n", + "Step 1: Feature extraction completed.\n", + "Step 2: Weaver setup completed.\n", + "Step 3: Input tensor preparation completed.\n", + "Running flavor tagging inference...\n", + "Step 4: Weights retrieval completed.\n", + "Jet scores:\n", + " - recojet_isG: 0.20045704\n", + " - recojet_isB: 0.7949233\n", + " - recojet_isQ: 0.0011744569\n", + " - recojet_isC: 0.0027449252\n", + " - recojet_isS: 0.00070025533\n" + ] + } + ], "source": [ "println(\"Extracting features for flavor tagging...\")\n", "feature_data = extract_features(\n", From b2b4ee9cb39726006d79113295c34179578abd61 Mon Sep 17 00:00:00 2001 From: Harry Date: Fri, 13 Jun 2025 02:54:04 -0400 Subject: [PATCH 13/47] Update bTag functions --- .../simple-flavour-tagging.ipynb | 373 +++++++++++++++++- ext/JetFlavourTagging/JetConstituentUtils.jl | 106 ++--- 2 files changed, 410 insertions(+), 69 deletions(-) diff --git a/examples/flavour-tagging/simple-flavour-tagging.ipynb b/examples/flavour-tagging/simple-flavour-tagging.ipynb index 8c7e3bb6..7b897ad3 100644 --- a/examples/flavour-tagging/simple-flavour-tagging.ipynb +++ b/examples/flavour-tagging/simple-flavour-tagging.ipynb @@ -106,7 +106,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 70, "id": "51c71156", "metadata": {}, "outputs": [ @@ -117,6 +117,7 @@ "Loaded 100000 events\n", "Processing event #15\n", "Loaded 65 reconstructed particles\n", + "Loaded 147 Monte Carlo particles\n", "Loaded 29 tracks\n" ] } @@ -137,6 +138,8 @@ "\n", "# Get reconstructed particles and tracks\n", "recps = RootIO.get(reader, evt, \"ReconstructedParticles\")\n", + "mcps = RootIO.get(reader, evt, \"Particle\")\n", + "MCRecoLinks = RootIO.get(reader, evt, \"MCRecoAssociations\")\n", "tracks = RootIO.get(reader, evt, \"EFlowTrack_1\")\n", "\n", "# Get needed collections for feature extraction\n", @@ -149,10 +152,362 @@ "dNdx = RootIO.get(reader, evt, \"EFlowTrack_2\")\n", "track_L = RootIO.get(reader, evt, \"EFlowTrack_L\", register = false)\n", "\n", + "mc_vertices = Vector{LorentzVector{Float32}}(undef, length(recps))\n", + "reco_to_mc = Dict(link.rec_idx.index => link.sim_idx.index for link in MCRecoLinks)\n", + "for (rec_idx, mc_idx) in reco_to_mc\n", + " mc_vertices[rec_idx+1] = LorentzVector(mcps[mc_idx+1].vertex.x, mcps[mc_idx+1].vertex.y, mcps[mc_idx+1].vertex.z, mcps[mc_idx+1].time)\n", + "end\n", + "\n", "println(\"Loaded $(length(recps)) reconstructed particles\")\n", + "println(\"Loaded $(length(mcps)) Monte Carlo particles\")\n", "println(\"Loaded $(length(tracks)) tracks\")" ] }, + { + "cell_type": "code", + "execution_count": null, + "id": "651ea84d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(:index, :PDG, :generatorStatus, :simulatorStatus, :charge, :time, :mass, :vertex, :endpoint, :momentum, :momentumAtEndpoint, :spin, :colorFlow, :parents, :daughters)\n", + "PDG is 11\n", + "Color is 0\n", + "PDG is -11\n", + "Color is 0\n", + "PDG is 11\n", + "Color is 0\n", + "PDG is -11\n", + "Color is 0\n", + "PDG is 11\n", + "Color is 0\n", + "PDG is -11\n", + "Color is 0\n", + "PDG is 22\n", + "Color is 0\n", + "PDG is 22\n", + "Color is 0\n", + "PDG is 25\n", + "Color is 0\n", + "PDG is 5\n", + "Color is 0\n", + "PDG is -5\n", + "Color is 0\n", + "PDG is 24\n", + "Color is 0\n", + "PDG is -24\n", + "Color is 0\n", + "PDG is -13\n", + "Color is 0\n", + "PDG is 14\n", + "Color is 0\n", + "PDG is 11\n", + "Color is 0\n", + "PDG is -12\n", + "Color is 0\n", + "PDG is 11\n", + "Color is 0\n", + "PDG is -12\n", + "Color is 0\n", + "PDG is 14\n", + "Color is 0\n", + "PDG is 22\n", + "Color is 0\n", + "PDG is -13\n", + "Color is 0\n", + "PDG is 22\n", + "Color is 0\n", + "PDG is -5\n", + "Color is 0\n", + "PDG is 21\n", + "Color is 0\n", + "PDG is 4\n", + "Color is 0\n", + "PDG is 5\n", + "Color is 0\n", + "PDG is 21\n", + "Color is 0\n", + "PDG is 21\n", + "Color is 0\n", + "PDG is -4\n", + "Color is 0\n", + "PDG is 92\n", + "Color is 0\n", + "PDG is 525\n", + "Color is 0\n", + "PDG is 10113\n", + "Color is 0\n", + "PDG is 423\n", + "Color is 0\n", + "PDG is 92\n", + "Color is 0\n", + "PDG is -20523\n", + "Color is 0\n", + "PDG is 321\n", + "Color is 0\n", + "PDG is -323\n", + "Color is 0\n", + "PDG is 111\n", + "Color is 0\n", + "PDG is 10223\n", + "Color is 0\n", + "PDG is 215\n", + "Color is 0\n", + "PDG is -211\n", + "Color is 0\n", + "PDG is -423\n", + "Color is 0\n", + "PDG is 513\n", + "Color is 0\n", + "PDG is 211\n", + "Color is 0\n", + "PDG is 223\n", + "Color is 0\n", + "PDG is 111\n", + "Color is 0\n", + "PDG is 421\n", + "Color is 0\n", + "PDG is 111\n", + "Color is 0\n", + "PDG is -513\n", + "Color is 0\n", + "PDG is -211\n", + "Color is 0\n", + "PDG is -311\n", + "Color is 0\n", + "PDG is -211\n", + "Color is 0\n", + "PDG is 22\n", + "Color is 0\n", + "PDG is 22\n", + "Color is 0\n", + "PDG is 113\n", + "Color is 0\n", + "PDG is 111\n", + "Color is 0\n", + "PDG is 113\n", + "Color is 0\n", + "PDG is 211\n", + "Color is 0\n", + "PDG is -421\n", + "Color is 0\n", + "PDG is 22\n", + "Color is 0\n", + "PDG is 511\n", + "Color is 0\n", + "PDG is 22\n", + "Color is 0\n", + "PDG is 211\n", + "Color is 0\n", + "PDG is -211\n", + "Color is 0\n", + "PDG is 111\n", + "Color is 0\n", + "PDG is 22\n", + "Color is 0\n", + "PDG is 22\n", + "Color is 0\n", + "PDG is -13\n", + "Color is 0\n", + "PDG is 14\n", + "Color is 0\n", + "PDG is -321\n", + "Color is 0\n", + "PDG is 22\n", + "Color is 0\n", + "PDG is 22\n", + "Color is 0\n", + "PDG is -511\n", + "Color is 0\n", + "PDG is 22\n", + "Color is 0\n", + "PDG is 130\n", + "Color is 0\n", + "PDG is 211\n", + "Color is 0\n", + "PDG is -211\n", + "Color is 0\n", + "PDG is 22\n", + "Color is 0\n", + "PDG is 22\n", + "Color is 0\n", + "PDG is -211\n", + "Color is 0\n", + "PDG is 211\n", + "Color is 0\n", + "PDG is 311\n", + "Color is 0\n", + "PDG is 223\n", + "Color is 0\n", + "PDG is -413\n", + "Color is 0\n", + "PDG is 213\n", + "Color is 0\n", + "PDG is -215\n", + "Color is 0\n", + "PDG is 211\n", + "Color is 0\n", + "PDG is 111\n", + "Color is 0\n", + "PDG is 22\n", + "Color is 0\n", + "PDG is 22\n", + "Color is 0\n", + "PDG is 411\n", + "Color is 0\n", + "PDG is 20223\n", + "Color is 0\n", + "PDG is -213\n", + "Color is 0\n", + "PDG is 310\n", + "Color is 0\n", + "PDG is -211\n", + "Color is 0\n", + "PDG is 211\n", + "Color is 0\n", + "PDG is 111\n", + "Color is 0\n", + "PDG is -421\n", + "Color is 0\n", + "PDG is -211\n", + "Color is 0\n", + "PDG is 211\n", + "Color is 0\n", + "PDG is 111\n", + "Color is 0\n", + "PDG is -213\n", + "Color is 0\n", + "PDG is 111\n", + "Color is 0\n", + "PDG is 22\n", + "Color is 0\n", + "PDG is 22\n", + "Color is 0\n", + "PDG is -311\n", + "Color is 0\n", + "PDG is 20213\n", + "Color is 0\n", + "PDG is -311\n", + "Color is 0\n", + "PDG is 311\n", + "Color is 0\n", + "PDG is 111\n", + "Color is 0\n", + "PDG is -211\n", + "Color is 0\n", + "PDG is 111\n", + "Color is 0\n", + "PDG is -211\n", + "Color is 0\n", + "PDG is 211\n", + "Color is 0\n", + "PDG is 22\n", + "Color is 0\n", + "PDG is 22\n", + "Color is 0\n", + "PDG is 311\n", + "Color is 0\n", + "PDG is 113\n", + "Color is 0\n", + "PDG is 22\n", + "Color is 0\n", + "PDG is 22\n", + "Color is 0\n", + "PDG is -211\n", + "Color is 0\n", + "PDG is 111\n", + "Color is 0\n", + "PDG is 22\n", + "Color is 0\n", + "PDG is 22\n", + "Color is 0\n", + "PDG is 130\n", + "Color is 0\n", + "PDG is 213\n", + "Color is 0\n", + "PDG is 111\n", + "Color is 0\n", + "PDG is 310\n", + "Color is 0\n", + "PDG is 130\n", + "Color is 0\n", + "PDG is 22\n", + "Color is 0\n", + "PDG is 22\n", + "Color is 0\n", + "PDG is 22\n", + "Color is 0\n", + "PDG is 22\n", + "Color is 0\n", + "PDG is 130\n", + "Color is 0\n", + "PDG is -211\n", + "Color is 0\n", + "PDG is 211\n", + "Color is 0\n", + "PDG is 22\n", + "Color is 0\n", + "PDG is 22\n", + "Color is 0\n", + "PDG is 211\n", + "Color is 0\n", + "PDG is 111\n", + "Color is 0\n", + "PDG is 22\n", + "Color is 0\n", + "PDG is 22\n", + "Color is 0\n", + "PDG is -211\n", + "Color is 0\n", + "PDG is 211\n", + "Color is 0\n", + "PDG is 22\n", + "Color is 0\n", + "PDG is 22\n", + "Color is 0\n" + ] + } + ], + "source": [ + "for i in 100000\n", + " mcps = RootIO.get(reader, events[i], \"Particle\")\n", + " list_of_mcgeneratorStatus = [mcps[j].generatorStatus for j in 1:length(mcps)]\n", + " list_of_sim_status = [mcps[j].simulatorStatus for j in 1:length(mcps)]" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "id": "ab6dc15d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(:index, :collectionID)\n", + "70\n" + ] + } + ], + "source": [ + "MCRecoLinks = RootIO.get(reader, evt, \"MCRecoAssociations\")\n", + "println(fieldnames(typeof(MCRecoLinks[1].rec_idx)))\n", + "println(MCRecoLinks[3].sim_idx.index)\n", + "\n", + "# Now, get vertices from the mcps[sim_indices] to a LorentzVector of (vertex (vector3d), time), as (x,y,z,t)\n", + "# For the x,y,z,t, we can access it from for mcp in mcps mcp.vertex, mcp.time (vector3d, float32) \n", + "# Now, the vertices need to be a vector of LorentzVector(x,y,z,t) with dimension of reco_particle length.\n", + "mc_vertices = Vector{LorentzVector{Float32}}(undef, length(recps))\n", + "reco_to_mc = Dict(link.rec_idx.index => link.sim_idx.index for link in MCRecoLinks)\n", + "for (rec_idx, mc_idx) in reco_to_mc\n", + " mc_vertices[rec_idx+1] = LorentzVector(mcps[mc_idx+1].vertex.x, mcps[mc_idx+1].vertex.y, mcps[mc_idx+1].vertex.z, mcps[mc_idx+1].time)\n", + "end" + ] + }, { "cell_type": "code", "execution_count": 5, @@ -185,10 +540,20 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "id": "348a6c05", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "Vector{Float32}\u001b[90m (alias for \u001b[39m\u001b[90mArray{Float32, 1}\u001b[39m\u001b[90m)\u001b[39m" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "const JetConstituents = StructVector{ReconstructedParticle}\n", "const JetConstituentsData = Vector{Float32}" @@ -196,7 +561,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 8, "id": "4f46c6c3", "metadata": {}, "outputs": [ diff --git a/ext/JetFlavourTagging/JetConstituentUtils.jl b/ext/JetFlavourTagging/JetConstituentUtils.jl index ff4ec299..15f1330b 100644 --- a/ext/JetFlavourTagging/JetConstituentUtils.jl +++ b/ext/JetFlavourTagging/JetConstituentUtils.jl @@ -1586,20 +1586,16 @@ function get_Sip2dVal_clusterV(jets::Vector{JetReconstruction.EEJet}, result = Vector{JetConstituentsData}() for i in eachindex(jets) - p = Vector2(jets[i].px, jets[i].py) - + # p = Vector2(jets[i].px, jets[i].py) + p = [jets[i].px, jets[i].py] # don't use vector2 anymore. comment out first. TODO: Remove Vector2 in later versions sip2d_values = JetConstituentsData() for j in eachindex(D0[i]) if D0[i][j] != -9.0f0 - # Calculate the 2D impact point vector - d0 = Vector2(-D0[i][j] * sin(phi0[i][j]), - D0[i][j] * cos(phi0[i][j])) - dot_product = d0.X * p.X + d0.Y * p.Y - - # Sign based on dot product and magnitude based on D0 + d0 = [-D0[i][j] * sin(phi0[i][j]), + D0[i][j] * cos(phi0[i][j])] + dot_product = d0[1] * p[1] + d0[2] * p[2] signed_ip = sign(dot_product) * abs(D0[i][j]) - push!(sip2d_values, signed_ip) else push!(sip2d_values, -9.0f0) @@ -1650,15 +1646,10 @@ function get_Sip2dSig(Sip2dVals::Vector{JetConstituentsData}, for i in eachindex(Sip2dVals) sig_values = JetConstituentsData() - for j in eachindex(Sip2dVals[i]) - # Only calculate significance if the error is positive - if j <= length(err2_D0[i]) && err2_D0[i][j] > 0.0 - # Calculate significance by dividing the value by its error - significance = Sip2dVals[i][j] / sqrt(err2_D0[i][j]) - push!(sig_values, significance) + if err2_D0[i][j] > 0.0f0 + push!(sig_values, Sip2dVals[i][j] / sqrt(err2_D0[i][j])) else - # Invalid measurement push!(sig_values, -9.0f0) end end @@ -1697,28 +1688,22 @@ function get_Sip3dVal_clusterV(jets::Vector{JetReconstruction.EEJet}, Bz::Float32) result = Vector{JetConstituentsData}() for i in eachindex(jets) - p = Vector3(jets[i].px, jets[i].py, jets[i].pz) + # p = Vector3(jets[i].px, jets[i].py, jets[i].pz) + p = [jets[i].px, jets[i].py, jets[i].pz] # don't use vector3 anymore. comment out first. TODO: Remove Vector3 in later versions cprojs = JetConstituentsData() for j in eachindex(D0[i]) if D0[i][j] != -9.0 - # Create 3D vector of displacement at point of closest approach - d = Vector3(-D0[i][j] * sin(phi0[i][j]), - D0[i][j] * cos(phi0[i][j]), - Z0[i][j]) - - # Sign the impact parameter based on the dot product with jet direction - # dot product in 3D - dot_prod = d.X * p.X + d.Y * p.Y + d.Z * p.Z - sign_val = dot_prod > 0.0 ? 1.0 : -1.0 - impact_val = sqrt(D0[i][j]^2 + Z0[i][j]^2) - cprojs_val = sign_val * impact_val - push!(cprojs, cprojs_val) + d = [-D0[i][j] * sin(phi0[i][j]), + D0[i][j] * cos(phi0[i][j]), + Z0[i][j]] + dot_prod = d[1] * p[1] + d[2] * p[2] + d[3] * p[3] + cproj_val = sign(dot_prod) * abs(sqrt(D0[i][j]^2 + Z0[i][j]^2)) + push!(cprojs, cproj_val) else push!(cprojs, -9.0f0) end end - push!(result, cprojs) end @@ -1746,12 +1731,10 @@ function get_Sip3dSig(Sip3dVals::Vector{JetConstituentsData}, result = Vector{JetConstituentsData}() for i in eachindex(Sip3dVals) - sigs = JetConstituentsData() # Changed to initialize sigs as a JetConstituentsData - + sigs = JetConstituentsData() for j in eachindex(Sip3dVals[i]) - if err2_D0[i][j] > 0.0 - sig = Sip3dVals[i][j] / sqrt(err2_D0[i][j] + err2_Z0[i][j]) - push!(sigs, sig) + if err2_D0[i][j] > 0.0f0 + push!(sigs, Sip3dVals[i][j] / sqrt(err2_D0[i][j] + err2_Z0[i][j])) else push!(sigs, -9.0f0) end @@ -1791,33 +1774,29 @@ function get_JetDistVal_clusterV(jets::Vector{JetReconstruction.EEJet}, for i in eachindex(jets) # p_jet = Vector3(jets[i].px, jets[i].py, jets[i].pz) - p_jet = Vector3(jets[i].px, jets[i].py, jets[i].pz) + p_jet = [jets[i].px, jets[i].py, jets[i].pz] # don't use vector3 anymore. comment out first. TODO: Remove Vector3 in later versions tmp = JetConstituentsData() + ct = jcs[i] - for j in eachindex(D0[i]) - if D0[i][j] != -9.0 && j <= length(jcs[i]) - # Create 3D vector of displacement at point of closest approach - d = Vector3(-D0[i][j] * sin(phi0[i][j]), - D0[i][j] * cos(phi0[i][j]), - Z0[i][j]) - - # Calculate particle momentum - p_ct = Vector3(jcs[i][j].momentum.x, - jcs[i][j].momentum.y, - jcs[i][j].momentum.z) - - # Jet origin - r_jet = Vector3(0.0, 0.0, 0.0) - - # Normal vector to plane containing particle and jet momenta - n = v3_unit(v3_cross(p_ct, p_jet)) - - - # Distance is projection of displacement onto normal vector - dist = n.X * (d.X - r_jet.X) + - n.Y * (d.Y - r_jet.Y) + - n.Z * (d.Z - r_jet.Z) - + for j in eachindex(ct) + if D0[i][j] != -9.0f0 + d = [-D0[i][j] * sin(phi0[i][j]), + D0[i][j] * cos(phi0[i][j]), + Z0[i][j]] + p_ct = [ct[j].momentum.x, + ct[j].momentum.y, + ct[j].momentum.z] + r_jet = [0.0, 0.0, 0.0] + n = [ + p_ct[2] * p_jet[3] - p_ct[3] * p_jet[2], + p_ct[3] * p_jet[1] - p_ct[1] * p_jet[3], + p_ct[1] * p_jet[2] - p_ct[2] * p_jet[1] + ] + n_mag = sqrt(n[1]^2 + n[2]^2 + n[3]^2) + n = n./ n_mag # Normalize the normal vector + dist = n[1] * (d[1] - r_jet[1]) + + n[2] * (d[2] - r_jet[2]) + + n[3] * (d[3] - r_jet[3]) push!(tmp, dist) else push!(tmp, -9.0f0) @@ -1836,7 +1815,7 @@ function get_btagJetDistVal(jets::Vector{JetReconstruction.EEJet}, Z0::Vector{JetConstituentsData}, phi0::Vector{JetConstituentsData}, Bz::Float32) - # Simply call the implementation functio + # Simply call the implementation function return get_JetDistVal_clusterV(jets, jcs, D0, Z0, phi0, Bz) end @@ -1855,12 +1834,9 @@ function get_JetDistSig(JetDistVal::Vector{JetConstituentsData}, for i in eachindex(JetDistVal) tmp = JetConstituentsData() - for j in eachindex(JetDistVal[i]) - if err2_D0[i][j] > 0.0 - # 3D error + if err2_D0[i][j] > 0.0f0 err3d = sqrt(err2_D0[i][j] + err2_Z0[i][j]) - # Calculate significance jetdistsig = JetDistVal[i][j] / err3d push!(tmp, jetdistsig) else From e7f3053decaa8f23e114722e7459fcc937df2a6f Mon Sep 17 00:00:00 2001 From: Harry Date: Sun, 15 Jun 2025 04:10:23 -0400 Subject: [PATCH 14/47] Optimized Kinematic --- .../jet_constituent_benchmark.ipynb | 469 ++++++++++++++++++ .../JetConstituent/JetConstituent10Residue.jl | 17 + .../JetConstituent2Kinematic.jl | 263 ++++++++++ .../JetConstituent/JetConstituent3Track.jl | 20 + .../JetConstituent/JetConstituent4Cov.jl | 25 + .../JetConstituent/JetConstituent5PID.jl | 13 + .../JetConstituent/JetConstituent6Rel.jl | 14 + .../JetConstituent/JetConstituent7Special.jl | 8 + .../JetConstituent/JetConstituent8SIP.jl | 23 + .../JetConstituent/JetConstituent9Count.jl | 9 + .../JetConstituentBuilder.jl | 13 +- ext/JetFlavourTagging/JetConstituentUtils.jl | 180 ++----- ext/JetFlavourTagging/JetFlavourHelper.jl | 38 +- ext/JetFlavourTagging/JetFlavourTagging.jl | 23 +- 14 files changed, 940 insertions(+), 175 deletions(-) create mode 100644 examples/flavour-tagging/jet_constituent_benchmark.ipynb create mode 100644 ext/JetFlavourTagging/JetConstituent/JetConstituent10Residue.jl create mode 100644 ext/JetFlavourTagging/JetConstituent/JetConstituent2Kinematic.jl create mode 100644 ext/JetFlavourTagging/JetConstituent/JetConstituent3Track.jl create mode 100644 ext/JetFlavourTagging/JetConstituent/JetConstituent4Cov.jl create mode 100644 ext/JetFlavourTagging/JetConstituent/JetConstituent5PID.jl create mode 100644 ext/JetFlavourTagging/JetConstituent/JetConstituent6Rel.jl create mode 100644 ext/JetFlavourTagging/JetConstituent/JetConstituent7Special.jl create mode 100644 ext/JetFlavourTagging/JetConstituent/JetConstituent8SIP.jl create mode 100644 ext/JetFlavourTagging/JetConstituent/JetConstituent9Count.jl diff --git a/examples/flavour-tagging/jet_constituent_benchmark.ipynb b/examples/flavour-tagging/jet_constituent_benchmark.ipynb new file mode 100644 index 00000000..e0fe049c --- /dev/null +++ b/examples/flavour-tagging/jet_constituent_benchmark.ipynb @@ -0,0 +1,469 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "dbf2bf95", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32m\u001b[1m No Changes\u001b[22m\u001b[39m to `~/.julia/environments/v1.11/Project.toml`\n", + "\u001b[32m\u001b[1m No Changes\u001b[22m\u001b[39m to `~/.julia/environments/v1.11/Manifest.toml`\n", + "\u001b[32m\u001b[1m Resolving\u001b[22m\u001b[39m package versions...\n", + "\u001b[32m\u001b[1m No Changes\u001b[22m\u001b[39m to `~/.julia/environments/v1.11/Project.toml`\n", + "\u001b[32m\u001b[1m No Changes\u001b[22m\u001b[39m to `~/.julia/environments/v1.11/Manifest.toml`\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[32m\u001b[1mStatus\u001b[22m\u001b[39m `~/.julia/environments/v1.11/Project.toml`\n", + " \u001b[90m[c7e460c6] \u001b[39mArgParse v1.2.0\n", + " \u001b[90m[6e4b80f9] \u001b[39mBenchmarkTools v1.6.0\n", + " \u001b[90m[a93c6f00] \u001b[39mDataFrames v1.7.0\n", + " \u001b[90m[eb32b910] \u001b[39mEDM4hep v0.4.3\n", + "\u001b[32m⌃\u001b[39m \u001b[90m[5c1252a2] \u001b[39mGeometryBasics v0.5.7\n", + "\u001b[32m⌃\u001b[39m \u001b[90m[7073ff75] \u001b[39mIJulia v1.27.0\n", + " \u001b[90m[682c06a0] \u001b[39mJSON v0.21.4\n", + " \u001b[90m[44e8cb2c] \u001b[39mJetReconstruction v0.5.0-dev `~/Developer/2025/JuliaHEPForkToMain/JetReconstruction.jl`\n", + " \u001b[90m[98e50ef6] \u001b[39mJuliaFormatter v2.1.2\n", + "\u001b[32m⌃\u001b[39m \u001b[90m[f612022c] \u001b[39mLorentzVectorHEP v0.1.6\n", + " \u001b[90m[e034b28e] \u001b[39mONNXRunTime v1.3.1\n", + " \u001b[90m[91a5bcdd] \u001b[39mPlots v1.40.13\n", + " \u001b[90m[90137ffa] \u001b[39mStaticArrays v1.9.13\n", + " \u001b[90m[10745b16] \u001b[39mStatistics v1.11.1\n", + " \u001b[90m[2913bbd2] \u001b[39mStatsBase v0.34.5\n", + "\u001b[33m⌅\u001b[39m \u001b[90m[09ab397b] \u001b[39mStructArrays v0.6.21\n", + "\u001b[32m⌃\u001b[39m \u001b[90m[1e6cf692] \u001b[39mTestEnv v1.102.0\n", + " \u001b[90m[3cd96dde] \u001b[39mUnROOT v0.10.36\n", + " \u001b[90m[37e2e46d] \u001b[39mLinearAlgebra v1.11.0\n", + "\u001b[36m\u001b[1mInfo\u001b[22m\u001b[39m Packages marked with \u001b[32m⌃\u001b[39m and \u001b[33m⌅\u001b[39m have new versions available. Those with \u001b[32m⌃\u001b[39m may be upgradable, but those with \u001b[33m⌅\u001b[39m are restricted by compatibility constraints from upgrading. To see why use `status --outdated`\n" + ] + } + ], + "source": [ + "using EDM4hep\n", + "using EDM4hep.RootIO\n", + "using StaticArrays\n", + "using LorentzVectorHEP\n", + "using JSON\n", + "using ONNXRunTime\n", + "using StructArrays\n", + "using BenchmarkTools\n", + "using Pkg\n", + "Pkg.resolve()\n", + "Pkg.develop(Pkg.PackageSpec(path = \"/Users/harrywanghc/Developer/2025/JuliaHEPForkToMain/JetReconstruction.jl\"))\n", + "using JetReconstruction\n", + "Pkg.status()" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "d55622a5", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The model predicts these flavor classes:\n", + " - recojet_isG\n", + " - recojet_isQ\n", + " - recojet_isS\n", + " - recojet_isC\n", + " - recojet_isB\n" + ] + } + ], + "source": [ + "# Paths to model files\n", + "model_dir = \"data/wc_pt_7classes_12_04_2023\"\n", + "onnx_path = joinpath(model_dir, \"fccee_flavtagging_edm4hep_wc_v1.onnx\")\n", + "json_path = joinpath(model_dir, \"fccee_flavtagging_edm4hep_wc_v1.json\")\n", + "\n", + "# Load the configuration and model\n", + "config = JSON.parsefile(json_path)\n", + "model = ONNXRunTime.load_inference(onnx_path)\n", + "\n", + "# Display the output classes we'll predict\n", + "println(\"The model predicts these flavor classes:\")\n", + "for class_name in config[\"output_names\"]\n", + " println(\" - \", class_name)\n", + "end" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "58739111", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loaded 100000 events\n", + "Processing event #13\n", + "Type of recps: StructVector{ReconstructedParticle, @NamedTuple{index::StructVector{ObjectID{ReconstructedParticle}, @NamedTuple{index::Vector{Int64}, collectionID::Vector{UInt32}}, Int64}, type::SubArray{Int32, 1, Vector{Int32}, Tuple{UnitRange{Int64}}, true}, energy::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, momentum::StructVector{Vector3f, @NamedTuple{x::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, y::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, z::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}}, Int64}, referencePoint::StructVector{Vector3f, @NamedTuple{x::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, y::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, z::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}}, Int64}, charge::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, mass::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, goodnessOfPID::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, covMatrix::StructVector{SVector{10, Float32}, NTuple{10, SubArray{Float32, 1, Base.ReshapedArray{Float32, 2, SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, Tuple{}}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}}, true}}, Int64}, clusters::StructVector{Relation{ReconstructedParticle, Cluster, 1}, @NamedTuple{first::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, last::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, collid::Vector{UInt32}}, Int64}, tracks::StructVector{Relation{ReconstructedParticle, Track, 2}, @NamedTuple{first::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, last::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, collid::Vector{UInt32}}, Int64}, particles::StructVector{Relation{ReconstructedParticle, ReconstructedParticle, 3}, @NamedTuple{first::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, last::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, collid::Vector{UInt32}}, Int64}, particleIDs::StructVector{Relation{ReconstructedParticle, ParticleID, 4}, @NamedTuple{first::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, last::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, collid::Vector{UInt32}}, Int64}, startVertex_idx::StructVector{ObjectID{Vertex}, @NamedTuple{index::SubArray{Int32, 1, Vector{Int32}, Tuple{UnitRange{Int64}}, true}, collectionID::SubArray{Int32, 1, Vector{Int32}, Tuple{UnitRange{Int64}}, true}}, Int64}, particleIDUsed_idx::StructVector{ObjectID{ParticleID}, @NamedTuple{index::SubArray{Int32, 1, Vector{Int32}, Tuple{UnitRange{Int64}}, true}, collectionID::SubArray{Int32, 1, Vector{Int32}, Tuple{UnitRange{Int64}}, true}}, Int64}}, Int64}\n", + "Type of mcps: StructVector{MCParticle, @NamedTuple{index::StructVector{ObjectID{MCParticle}, @NamedTuple{index::Vector{Int64}, collectionID::Vector{UInt32}}, Int64}, PDG::SubArray{Int32, 1, Vector{Int32}, Tuple{UnitRange{Int64}}, true}, generatorStatus::SubArray{Int32, 1, Vector{Int32}, Tuple{UnitRange{Int64}}, true}, simulatorStatus::SubArray{Int32, 1, Vector{Int32}, Tuple{UnitRange{Int64}}, true}, charge::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, time::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, mass::SubArray{Float64, 1, Vector{Float64}, Tuple{UnitRange{Int64}}, true}, vertex::StructVector{Vector3d, @NamedTuple{x::SubArray{Float64, 1, Vector{Float64}, Tuple{UnitRange{Int64}}, true}, y::SubArray{Float64, 1, Vector{Float64}, Tuple{UnitRange{Int64}}, true}, z::SubArray{Float64, 1, Vector{Float64}, Tuple{UnitRange{Int64}}, true}}, Int64}, endpoint::StructVector{Vector3d, @NamedTuple{x::SubArray{Float64, 1, Vector{Float64}, Tuple{UnitRange{Int64}}, true}, y::SubArray{Float64, 1, Vector{Float64}, Tuple{UnitRange{Int64}}, true}, z::SubArray{Float64, 1, Vector{Float64}, Tuple{UnitRange{Int64}}, true}}, Int64}, momentum::StructVector{Vector3d, @NamedTuple{x::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, y::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, z::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}}, Int64}, momentumAtEndpoint::StructVector{Vector3d, @NamedTuple{x::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, y::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, z::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}}, Int64}, spin::StructVector{Vector3f, @NamedTuple{x::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, y::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, z::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}}, Int64}, colorFlow::StructVector{Vector2i, @NamedTuple{a::SubArray{Int32, 1, Vector{Int32}, Tuple{UnitRange{Int64}}, true}, b::SubArray{Int32, 1, Vector{Int32}, Tuple{UnitRange{Int64}}, true}}, Int64}, parents::StructVector{Relation{MCParticle, MCParticle, 1}, @NamedTuple{first::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, last::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, collid::Vector{UInt32}}, Int64}, daughters::StructVector{Relation{MCParticle, MCParticle, 2}, @NamedTuple{first::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, last::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, collid::Vector{UInt32}}, Int64}}, Int64}\n", + "Type of MCRecoLinks: StructVector{MCRecoParticleAssociation, @NamedTuple{index::StructVector{ObjectID{MCRecoParticleAssociation}, @NamedTuple{index::Vector{Int64}, collectionID::Vector{UInt32}}, Int64}, weight::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, rec_idx::StructVector{ObjectID{ReconstructedParticle}, @NamedTuple{index::SubArray{Int32, 1, Vector{Int32}, Tuple{UnitRange{Int64}}, true}, collectionID::SubArray{Int32, 1, Vector{Int32}, Tuple{UnitRange{Int64}}, true}}, Int64}, sim_idx::StructVector{ObjectID{MCParticle}, @NamedTuple{index::SubArray{Int32, 1, Vector{Int32}, Tuple{UnitRange{Int64}}, true}, collectionID::SubArray{Int32, 1, Vector{Int32}, Tuple{UnitRange{Int64}}, true}}, Int64}}, Int64}\n", + "Type of tracks: StructVector{TrackState, @NamedTuple{location::SubArray{Int32, 1, Vector{Int32}, Tuple{UnitRange{Int64}}, true}, D0::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, phi::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, omega::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, Z0::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, tanLambda::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, time::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, referencePoint::StructVector{Vector3f, @NamedTuple{x::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, y::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, z::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}}, Int64}, covMatrix::StructVector{SVector{21, Float32}, NTuple{21, SubArray{Float32, 1, Base.ReshapedArray{Float32, 2, SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, Tuple{}}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}}, true}}, Int64}}, Int64}\n", + "Loaded 107 reconstructed particles\n", + "Loaded 228 Monte Carlo particles\n", + "Loaded 44 tracks\n" + ] + } + ], + "source": [ + "# Path to ROOT file with EDM4hep data\n", + "edm4hep_path = \"data/events_080263084.root\"\n", + "reader = RootIO.Reader(edm4hep_path)\n", + "\n", + "# Get event information\n", + "events = RootIO.get(reader, \"events\")\n", + "println(\"Loaded $(length(events)) events\")\n", + "\n", + "# Choose a specific event to analyze (event #15)\n", + "event_id = 13\n", + "evt = events[event_id]\n", + "println(\"Processing event #$event_id\")\n", + "\n", + "# Get reconstructed particles and tracks\n", + "recps = RootIO.get(reader, evt, \"ReconstructedParticles\")\n", + "println(\"Type of recps: \", typeof(recps))\n", + "mcps = RootIO.get(reader, evt, \"Particle\")\n", + "println(\"Type of mcps: \", typeof(mcps))\n", + "MCRecoLinks = RootIO.get(reader, evt, \"MCRecoAssociations\")\n", + "println(\"Type of MCRecoLinks: \", typeof(MCRecoLinks))\n", + "tracks = RootIO.get(reader, evt, \"EFlowTrack_1\")\n", + "println(\"Type of tracks: \", typeof(tracks))\n", + "\n", + "# Get needed collections for feature extraction\n", + "bz = RootIO.get(reader, evt, \"magFieldBz\", register = false)[1]\n", + "trackdata = RootIO.get(reader, evt, \"EFlowTrack\")\n", + "trackerhits = RootIO.get(reader, evt, \"TrackerHits\")\n", + "gammadata = RootIO.get(reader, evt, \"EFlowPhoton\")\n", + "nhdata = RootIO.get(reader, evt, \"EFlowNeutralHadron\")\n", + "calohits = RootIO.get(reader, evt, \"CalorimeterHits\")\n", + "dNdx = RootIO.get(reader, evt, \"EFlowTrack_2\")\n", + "track_L = RootIO.get(reader, evt, \"EFlowTrack_L\", register = false)\n", + "\n", + "mc_vertices = Vector{LorentzVector{Float32}}(undef, length(recps))\n", + "reco_to_mc = Dict(link.rec_idx.index => link.sim_idx.index for link in MCRecoLinks)\n", + "for (rec_idx, mc_idx) in reco_to_mc\n", + " mc_vertices[rec_idx+1] = LorentzVector(mcps[mc_idx+1].vertex.x, mcps[mc_idx+1].vertex.y, mcps[mc_idx+1].vertex.z, mcps[mc_idx+1].time)\n", + "end\n", + "\n", + "println(\"Loaded $(length(recps)) reconstructed particles\")\n", + "println(\"Loaded $(length(mcps)) Monte Carlo particles\")\n", + "println(\"Loaded $(length(tracks)) tracks\")" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "6e50ae33", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "2-element Vector{StructVector{ReconstructedParticle, @NamedTuple{index::StructVector{ObjectID{ReconstructedParticle}, @NamedTuple{index::Vector{Int64}, collectionID::Vector{UInt32}}, Int64}, type::Vector{Int32}, energy::Vector{Float32}, momentum::StructVector{Vector3f, @NamedTuple{x::Vector{Float32}, y::Vector{Float32}, z::Vector{Float32}}, Int64}, referencePoint::StructVector{Vector3f, @NamedTuple{x::Vector{Float32}, y::Vector{Float32}, z::Vector{Float32}}, Int64}, charge::Vector{Float32}, mass::Vector{Float32}, goodnessOfPID::Vector{Float32}, covMatrix::StructVector{SVector{10, Float32}, NTuple{10, Vector{Float32}}, Int64}, clusters::StructVector{Relation{ReconstructedParticle, Cluster, 1}, @NamedTuple{first::Vector{UInt32}, last::Vector{UInt32}, collid::Vector{UInt32}}, Int64}, tracks::StructVector{Relation{ReconstructedParticle, Track, 2}, @NamedTuple{first::Vector{UInt32}, last::Vector{UInt32}, collid::Vector{UInt32}}, Int64}, particles::StructVector{Relation{ReconstructedParticle, ReconstructedParticle, 3}, @NamedTuple{first::Vector{UInt32}, last::Vector{UInt32}, collid::Vector{UInt32}}, Int64}, particleIDs::StructVector{Relation{ReconstructedParticle, ParticleID, 4}, @NamedTuple{first::Vector{UInt32}, last::Vector{UInt32}, collid::Vector{UInt32}}, Int64}, startVertex_idx::StructVector{ObjectID{Vertex}, @NamedTuple{index::Vector{Int32}, collectionID::Vector{Int32}}, Int64}, particleIDUsed_idx::StructVector{ObjectID{ParticleID}, @NamedTuple{index::Vector{Int32}, collectionID::Vector{Int32}}, Int64}}, Int64}}:\n", + " [ReconstructedParticle(#75, 22, 0.38633013f0, (-0.3512648, 0.14457734, 0.07043707), (0.0, 0.0, 0.0), 0.0f0, 9.40061f-5, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[31], Track#[], ReconstructedParticle#[], ParticleID#[], #0, #0), ReconstructedParticle(#74, 22, 0.2694196f0, (-0.20128913, 0.178003, -0.019609783), (0.0, 0.0, 0.0), 0.0f0, 1.7153065f-5, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[30], Track#[], ReconstructedParticle#[], ParticleID#[], #0, #0), ReconstructedParticle(#77, 22, 0.015476455f0, (-0.007812136, 0.012893902, 0.003498353), (0.0, 0.0, 0.0), 0.0f0, -1.8890213f-6, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[33], Track#[], ReconstructedParticle#[], ParticleID#[], #0, #0), ReconstructedParticle(#44, 0, 0.5036083f0, (-0.42012292, 0.24007756, -0.0010058009), (0.0, 0.0, 0.0), -1.0f0, 0.13957039f0, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[], Track#[44], ReconstructedParticle#[], ParticleID#[44], #0, #0), ReconstructedParticle(#70, 22, 0.067348875f0, (-0.055546533, 0.03628812, -0.011559686), (0.0, 0.0, 0.0), 0.0f0, -2.1853431f-5, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[26], Track#[], ReconstructedParticle#[], ParticleID#[], #0, #0), ReconstructedParticle(#103, 130, 1.0145601f0, (-0.8290764, 0.1686503, -0.2567195), (0.0, 0.0, 0.0), 0.0f0, 0.49761096f0, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[2], Track#[], ReconstructedParticle#[], ParticleID#[], #0, #0), ReconstructedParticle(#61, 22, 1.1331687f0, (-0.870494, 0.45930666, -0.5615594), (0.0, 0.0, 0.0), 0.0f0, -9.207075f-5, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[17], Track#[], ReconstructedParticle#[], ParticleID#[], #0, #0), ReconstructedParticle(#63, 22, 0.74823934f0, (-0.5763859, 0.3060818, -0.36599898), (0.0, 0.0, 0.0), 0.0f0, 0.00015289187f0, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[19], Track#[], ReconstructedParticle#[], ParticleID#[], #0, #0), ReconstructedParticle(#18, 0, 3.2579124f0, (-2.594487, 1.30307, -1.4742715), (0.0, 0.0, 0.0), 1.0f0, 0.105658375f0, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[], Track#[18], ReconstructedParticle#[], ParticleID#[18], #0, #0), ReconstructedParticle(#68, 22, 0.11590462f0, (-0.09241789, 0.051444016, -0.04739545), (0.0, 0.0, 0.0), 0.0f0, 7.520003f-6, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[24], Track#[], ReconstructedParticle#[], ParticleID#[], #0, #0) … ReconstructedParticle(#11, 0, 0.9400345f0, (-0.6285308, -0.255343, -0.63555807), (0.0, 0.0, 0.0), -1.0f0, 0.13957039f0, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[], Track#[11], ReconstructedParticle#[], ParticleID#[11], #0, #0), ReconstructedParticle(#12, 0, 2.4555316f0, (-1.597705, -0.37442422, -1.8213458), (0.0, 0.0, 0.0), 1.0f0, 0.13957039f0, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[], Track#[12], ReconstructedParticle#[], ParticleID#[12], #0, #0), ReconstructedParticle(#50, 22, 0.046195857f0, (-0.0330726, -0.0062497887, -0.03164176), (0.0, 0.0, 0.0), 0.0f0, -1.1523432f-5, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[6], Track#[], ReconstructedParticle#[], ParticleID#[], #0, #0), ReconstructedParticle(#49, 22, 0.5202751f0, (-0.13168682, -0.33663982, -0.3741903), (0.0, 0.0, 0.0), 0.0f0, 0.0001556405f0, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[5], Track#[], ReconstructedParticle#[], ParticleID#[], #0, #0), ReconstructedParticle(#51, 22, 0.49541944f0, (-0.25657657, -0.25897962, -0.33546755), (0.0, 0.0, 0.0), 0.0f0, -0.000188032f0, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[7], Track#[], ReconstructedParticle#[], ParticleID#[], #0, #0), ReconstructedParticle(#57, 22, 0.11307974f0, (-0.07763988, -0.05533506, -0.060803857), (0.0, 0.0, 0.0), 0.0f0, -3.2825898f-5, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[13], Track#[], ReconstructedParticle#[], ParticleID#[], #0, #0), ReconstructedParticle(#14, 0, 2.354576f0, (-1.1015455, -1.4863638, -1.4497824), (0.0, 0.0, 0.0), -1.0f0, 0.13957039f0, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[], Track#[14], ReconstructedParticle#[], ParticleID#[14], #0, #0), ReconstructedParticle(#53, 22, 1.2737275f0, (-0.5775806, -0.829111, -0.7754724), (0.0, 0.0, 0.0), 0.0f0, 0.00018724016f0, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[9], Track#[], ReconstructedParticle#[], ParticleID#[], #0, #0), ReconstructedParticle(#6, 0, 0.713948f0, (0.13875742, -0.46291533, -0.18037887), (0.0, 0.0, 0.0), -1.0f0, 0.13957039f0, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[], Track#[6], ReconstructedParticle#[], ParticleID#[6], #0, #0), ReconstructedParticle(#52, 22, 0.5240443f0, (0.28942832, -0.26235357, -0.34931967), (0.0, 0.0, 0.0), 0.0f0, 0.00011873567f0, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[8], Track#[], ReconstructedParticle#[], ParticleID#[], #0, #0)]\n", + " [ReconstructedParticle(#83, 22, 0.21674497f0, (0.15373908, -0.013106996, 0.15221988), (0.0, 0.0, 0.0), 0.0f0, -7.122148f-5, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[39], Track#[], ReconstructedParticle#[], ParticleID#[], #0, #0), ReconstructedParticle(#79, 22, 0.03079796f0, (0.025132177, -0.012344025, 0.012826262), (0.0, 0.0, 0.0), 0.0f0, 8.259074f-6, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[35], Track#[], ReconstructedParticle#[], ParticleID#[], #0, #0), ReconstructedParticle(#106, 130, 2.24116f0, (1.6783708, -0.3332254, 1.359122), (0.0, 0.0, 0.0), 0.0f0, 0.4976115f0, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[5], Track#[], ReconstructedParticle#[], ParticleID#[], #0, #0), ReconstructedParticle(#23, 0, 1.2802758f0, (0.7520172, 0.4334666, 0.9307004), (0.0, 0.0, 0.0), -1.0f0, 0.13957039f0, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[], Track#[23], ReconstructedParticle#[], ParticleID#[23], #0, #0), ReconstructedParticle(#81, 22, 0.14321908f0, (0.082816355, 0.07098471, 0.09281342), (0.0, 0.0, 0.0), 0.0f0, -3.961395f-5, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[37], Track#[], ReconstructedParticle#[], ParticleID#[], #0, #0), ReconstructedParticle(#84, 22, 2.0840108f0, (1.3194107, 0.12497267, 1.608303), (0.0, 0.0, 0.0), 0.0f0, 0.0005466373f0, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[40], Track#[], ReconstructedParticle#[], ParticleID#[], #0, #0), ReconstructedParticle(#85, 22, 8.771331f0, (5.217448, 0.21712558, 7.0475054), (0.0, 0.0, 0.0), 0.0f0, 0.0009403553f0, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[41], Track#[], ReconstructedParticle#[], ParticleID#[], #0, #0), ReconstructedParticle(#86, 22, 2.9642935f0, (1.7722478, 0.12276255, 2.3729944), (0.0, 0.0, 0.0), 0.0f0, 0.00051620445f0, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[42], Track#[], ReconstructedParticle#[], ParticleID#[], #0, #0), ReconstructedParticle(#97, 22, 0.29129785f0, (0.039392333, 0.061820883, 0.28192347), (0.0, 0.0, 0.0), 0.0f0, 9.568689f-5, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[53], Track#[], ReconstructedParticle#[], ParticleID#[], #0, #0), ReconstructedParticle(#98, 22, 0.30649808f0, (0.065867916, 0.008725651, 0.29920956), (0.0, 0.0, 0.0), 0.0f0, -0.0001178083f0, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[54], Track#[], ReconstructedParticle#[], ParticleID#[], #0, #0) … ReconstructedParticle(#32, 0, 2.9253278f0, (-0.26697278, -0.7825878, 2.7622786), (0.0, 0.0, 0.0), 1.0f0, 0.13957039f0, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[], Track#[32], ReconstructedParticle#[], ParticleID#[32], #0, #0), ReconstructedParticle(#29, 0, 7.2547064f0, (-1.2012081, -2.5830343, 6.670556), (0.0, 0.0, 0.0), 1.0f0, 0.13957039f0, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[], Track#[29], ReconstructedParticle#[], ParticleID#[29], #0, #0), ReconstructedParticle(#94, 22, 0.07409216f0, (-0.024796741, -0.026110636, 0.06475341), (0.0, 0.0, 0.0), 0.0f0, -4.193404f-6, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[50], Track#[], ReconstructedParticle#[], ParticleID#[], #0, #0), ReconstructedParticle(#107, 130, 7.3748765f0, (-0.83735484, -0.8958248, 7.255171), (0.0, 0.0, 0.0), 0.0f0, 0.49762598f0, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[6], Track#[], ReconstructedParticle#[], ParticleID#[], #0, #0), ReconstructedParticle(#38, 0, 1.2475423f0, (-0.105044775, -0.22519562, 1.2145512), (0.0, 0.0, 0.0), -1.0f0, 0.13957039f0, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[], Track#[38], ReconstructedParticle#[], ParticleID#[38], #0, #0), ReconstructedParticle(#101, 22, 0.22192922f0, (-0.0072401543, -0.026951766, 0.22016758), (0.0, 0.0, 0.0), 0.0f0, -3.2073778f-5, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[57], Track#[], ReconstructedParticle#[], ParticleID#[], #0, #0), ReconstructedParticle(#31, 0, 0.4730928f0, (-0.22462739, -0.087651655, 0.38235682), (0.0, 0.0, 0.0), 1.0f0, 0.13957039f0, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[], Track#[31], ReconstructedParticle#[], ParticleID#[31], #0, #0), ReconstructedParticle(#33, 0, 7.690202f0, (-1.8375746, -0.99201083, 7.39993), (0.0, 0.0, 0.0), 1.0f0, 0.13957039f0, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[], Track#[33], ReconstructedParticle#[], ParticleID#[33], #0, #0), ReconstructedParticle(#34, 0, 2.079608f0, (-0.43690622, -0.32312912, 2.0024958), (0.0, 0.0, 0.0), -1.0f0, 0.13957039f0, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[], Track#[34], ReconstructedParticle#[], ParticleID#[34], #0, #0), ReconstructedParticle(#37, 0, 1.1976285f0, (-0.22208184, -0.13244933, 1.1610216), (0.0, 0.0, 0.0), -1.0f0, 0.13957039f0, 0.0f0, Float32[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], Cluster#[], Track#[37], ReconstructedParticle#[], ParticleID#[37], #0, #0)]" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "const JetConstituents = StructVector{ReconstructedParticle, <:Any}\n", + "const JetConstituentsData = Vector{Float32}\n", + "# Cluster jets using the EEkt algorithm with R=2.0 and p=1.0\n", + "cs = jet_reconstruct(recps; p = 1.0, R = 2.0, algorithm = JetAlgorithm.EEKt)\n", + "\n", + "# Get 2 exclusive jets\n", + "jets = exclusive_jets(cs; njets=2, T=EEJet)\n", + "\n", + "# For each jet, get its constituent particles\n", + "constituent_indices = [constituent_indexes(jet, cs) for jet in jets]\n", + "jet_constituents = build_constituents_cluster(recps, constituent_indices)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "c07e9f9b", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Running get_Bz benchmarks...\n", + "============================================================\n", + "Original get_Bz:\n", + " Mean: 368.25175672131144 ns\n", + " Median: 314.89180327868854 ns\n", + " Min: 273.3606557377049 ns\n", + " Max: 30242.48524590164 ns\n", + "\n", + "Optimized get_Bz:\n", + " Mean: 151.99828183783785 ns\n", + " Median: 130.63135135135136 ns\n", + " Min: 114.9545945945946 ns\n", + " Max: 12693.153513513513 ns\n", + "\n", + "Columnar get_Bz:\n", + " Mean: 117.26340641158221 ns\n", + " Median: 96.13029989658739 ns\n", + " Min: 83.63495346432265 ns\n", + " Max: 11264.86556359876 ns\n", + "\n", + "============================================================\n", + "Speedup (Optimized vs Original): 2.41x\n", + "Speedup (Columnar vs Original): 3.28x\n" + ] + } + ], + "source": [ + "using BenchmarkTools, Statistics\n", + "\n", + "# Original version\n", + "function get_Bz_original(jcs::Vector{<:JetConstituents},\n", + " tracks::StructVector{TrackState})\n", + " \n", + " c_light = 2.99792458e8\n", + " a = c_light * 1e3 * 1e-15\n", + " out = Vector{Vector{Float32}}()\n", + " \n", + " for jc in jcs\n", + " tmp = Float32[]\n", + " for p in jc\n", + " if p.tracks.first < length(tracks)\n", + " pt = sqrt(p.momentum.x^2 + p.momentum.y^2)\n", + " Bz = tracks[p.tracks.first + 1].omega / a * pt * copysign(1.0, p.charge)\n", + " push!(tmp, Bz)\n", + " else\n", + " push!(tmp, -9.0f0)\n", + " end\n", + " end\n", + " push!(out, tmp)\n", + " end\n", + " return out\n", + "end\n", + "\n", + "# Optimized version\n", + "function get_Bz(jcs::Vector{<:JetConstituents},\n", + " tracks::StructVector{EDM4hep.TrackState})\n", + " \n", + " a = 2.99792458e8 * 1e3 * 1e-15\n", + " \n", + " return [begin\n", + " mom_x = jet_constituents.momentum.x\n", + " mom_y = jet_constituents.momentum.y\n", + " charges = jet_constituents.charge\n", + " track_indices = jet_constituents.tracks\n", + " n_tracks = length(tracks)\n", + " \n", + " Float32[@inbounds(\n", + " let track_idx = track_indices[i].first\n", + " if track_idx < n_tracks\n", + " pt = sqrt(mom_x[i]^2 + mom_y[i]^2)\n", + " omega = tracks[track_idx + 1].omega\n", + " omega / a * pt * copysign(1.0f0, charges[i])\n", + " else\n", + " -9.0f0\n", + " end\n", + " end\n", + " ) for i in eachindex(mom_x)]\n", + " end for jet_constituents in jcs]\n", + "end\n", + "\n", + "# Further optimized with column access for tracks if it's a StructVector\n", + "function get_Bz_columnar(jcs::Vector{<:JetConstituents},\n", + " tracks::StructVector{EDM4hep.TrackState})\n", + " \n", + " a = 2.99792458e8 * 1e3 * 1e-15\n", + " n_tracks = length(tracks)\n", + " \n", + " # If tracks is a StructVector, we can access omega column directly\n", + " omega_values = tracks.omega\n", + " \n", + " return [begin\n", + " mom_x = jet_constituents.momentum.x\n", + " mom_y = jet_constituents.momentum.y\n", + " charges = jet_constituents.charge\n", + " track_indices = jet_constituents.tracks\n", + " \n", + " Float32[@inbounds(\n", + " let track_idx = track_indices[i].first\n", + " if track_idx < n_tracks\n", + " pt = sqrt(mom_x[i]^2 + mom_y[i]^2)\n", + " omega_values[track_idx + 1] / a * pt * copysign(1.0f0, charges[i])\n", + " else\n", + " -9.0f0\n", + " end\n", + " end\n", + " ) for i in eachindex(mom_x)]\n", + " end for jet_constituents in jcs]\n", + "end\n", + "\n", + "# Run benchmarks\n", + "println(\"Running get_Bz benchmarks...\")\n", + "println(\"=\"^60)\n", + "\n", + "result_original = @benchmark get_Bz_original($jet_constituents, $tracks) samples=10000\n", + "println(\"Original get_Bz:\")\n", + "println(\" Mean: \", mean(result_original.times), \" ns\")\n", + "println(\" Median: \", median(result_original.times), \" ns\")\n", + "println(\" Min: \", minimum(result_original.times), \" ns\")\n", + "println(\" Max: \", maximum(result_original.times), \" ns\")\n", + "println()\n", + "\n", + "result_optimized = @benchmark get_Bz($jet_constituents, $tracks) samples=10000\n", + "println(\"Optimized get_Bz:\")\n", + "println(\" Mean: \", mean(result_optimized.times), \" ns\")\n", + "println(\" Median: \", median(result_optimized.times), \" ns\")\n", + "println(\" Min: \", minimum(result_optimized.times), \" ns\")\n", + "println(\" Max: \", maximum(result_optimized.times), \" ns\")\n", + "println()\n", + "\n", + "result_columnar = @benchmark get_Bz_columnar($jet_constituents, $tracks) samples=10000\n", + "println(\"Columnar get_Bz:\")\n", + "println(\" Mean: \", mean(result_columnar.times), \" ns\")\n", + "println(\" Median: \", median(result_columnar.times), \" ns\")\n", + "println(\" Min: \", minimum(result_columnar.times), \" ns\")\n", + "println(\" Max: \", maximum(result_columnar.times), \" ns\")\n", + "println()\n", + "\n", + "# Calculate speedup\n", + "speedup = median(result_original.times) / median(result_optimized.times)\n", + "speedup_columnar = median(result_original.times) / median(result_columnar.times)\n", + "println(\"=\"^60)\n", + "println(\"Speedup (Optimized vs Original): \", round(speedup, digits=2), \"x\")\n", + "println(\"Speedup (Columnar vs Original): \", round(speedup_columnar, digits=2), \"x\")" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "0a80744f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Extracting features for flavor tagging...\n" + ] + }, + { + "ename": "MethodError", + "evalue": "MethodError: no method matching get_thetarel_cluster(::Vector{EEJet}, ::Vector{StructVector{ReconstructedParticle, @NamedTuple{index::StructVector{ObjectID{ReconstructedParticle}, @NamedTuple{index::Vector{Int64}, collectionID::Vector{UInt32}}, Int64}, type::Vector{Int32}, energy::Vector{Float32}, momentum::StructVector{Vector3f, @NamedTuple{x::Vector{Float32}, y::Vector{Float32}, z::Vector{Float32}}, Int64}, referencePoint::StructVector{Vector3f, @NamedTuple{x::Vector{Float32}, y::Vector{Float32}, z::Vector{Float32}}, Int64}, charge::Vector{Float32}, mass::Vector{Float32}, goodnessOfPID::Vector{Float32}, covMatrix::StructVector{SVector{10, Float32}, NTuple{10, Vector{Float32}}, Int64}, clusters::StructVector{Relation{ReconstructedParticle, Cluster, 1}, @NamedTuple{first::Vector{UInt32}, last::Vector{UInt32}, collid::Vector{UInt32}}, Int64}, tracks::StructVector{Relation{ReconstructedParticle, Track, 2}, @NamedTuple{first::Vector{UInt32}, last::Vector{UInt32}, collid::Vector{UInt32}}, Int64}, particles::StructVector{Relation{ReconstructedParticle, ReconstructedParticle, 3}, @NamedTuple{first::Vector{UInt32}, last::Vector{UInt32}, collid::Vector{UInt32}}, Int64}, particleIDs::StructVector{Relation{ReconstructedParticle, ParticleID, 4}, @NamedTuple{first::Vector{UInt32}, last::Vector{UInt32}, collid::Vector{UInt32}}, Int64}, startVertex_idx::StructVector{ObjectID{Vertex}, @NamedTuple{index::Vector{Int32}, collectionID::Vector{Int32}}, Int64}, particleIDUsed_idx::StructVector{ObjectID{ParticleID}, @NamedTuple{index::Vector{Int32}, collectionID::Vector{Int32}}, Int64}}, Int64}})\nThe function `get_thetarel_cluster` exists, but no method is defined for this combination of argument types.\n\nClosest candidates are:\n get_thetarel_cluster(::Vector{EEJet}, !Matched::Vector{StructArray{ReconstructedParticle, 1, <:Any}})\n @ JetFlavourTagging ~/Developer/2025/JuliaHEPForkToMain/JetReconstruction.jl/ext/JetFlavourTagging/JetConstituentUtils.jl:1086\n", + "output_type": "error", + "traceback": [ + "MethodError: no method matching get_thetarel_cluster(::Vector{EEJet}, ::Vector{StructVector{ReconstructedParticle, @NamedTuple{index::StructVector{ObjectID{ReconstructedParticle}, @NamedTuple{index::Vector{Int64}, collectionID::Vector{UInt32}}, Int64}, type::Vector{Int32}, energy::Vector{Float32}, momentum::StructVector{Vector3f, @NamedTuple{x::Vector{Float32}, y::Vector{Float32}, z::Vector{Float32}}, Int64}, referencePoint::StructVector{Vector3f, @NamedTuple{x::Vector{Float32}, y::Vector{Float32}, z::Vector{Float32}}, Int64}, charge::Vector{Float32}, mass::Vector{Float32}, goodnessOfPID::Vector{Float32}, covMatrix::StructVector{SVector{10, Float32}, NTuple{10, Vector{Float32}}, Int64}, clusters::StructVector{Relation{ReconstructedParticle, Cluster, 1}, @NamedTuple{first::Vector{UInt32}, last::Vector{UInt32}, collid::Vector{UInt32}}, Int64}, tracks::StructVector{Relation{ReconstructedParticle, Track, 2}, @NamedTuple{first::Vector{UInt32}, last::Vector{UInt32}, collid::Vector{UInt32}}, Int64}, particles::StructVector{Relation{ReconstructedParticle, ReconstructedParticle, 3}, @NamedTuple{first::Vector{UInt32}, last::Vector{UInt32}, collid::Vector{UInt32}}, Int64}, particleIDs::StructVector{Relation{ReconstructedParticle, ParticleID, 4}, @NamedTuple{first::Vector{UInt32}, last::Vector{UInt32}, collid::Vector{UInt32}}, Int64}, startVertex_idx::StructVector{ObjectID{Vertex}, @NamedTuple{index::Vector{Int32}, collectionID::Vector{Int32}}, Int64}, particleIDUsed_idx::StructVector{ObjectID{ParticleID}, @NamedTuple{index::Vector{Int32}, collectionID::Vector{Int32}}, Int64}}, Int64}})\n", + "The function `get_thetarel_cluster` exists, but no method is defined for this combination of argument types.\n", + "\n", + "Closest candidates are:\n", + " get_thetarel_cluster(::Vector{EEJet}, !Matched::Vector{StructArray{ReconstructedParticle, 1, <:Any}})\n", + " @ JetFlavourTagging ~/Developer/2025/JuliaHEPForkToMain/JetReconstruction.jl/ext/JetFlavourTagging/JetConstituentUtils.jl:1086\n", + "\n", + "\n", + "Stacktrace:\n", + " [1] extract_features(jets::Vector{EEJet}, jcs::Vector{StructVector{ReconstructedParticle, @NamedTuple{index::StructVector{ObjectID{ReconstructedParticle}, @NamedTuple{index::Vector{Int64}, collectionID::Vector{UInt32}}, Int64}, type::Vector{Int32}, energy::Vector{Float32}, momentum::StructVector{Vector3f, @NamedTuple{x::Vector{Float32}, y::Vector{Float32}, z::Vector{Float32}}, Int64}, referencePoint::StructVector{Vector3f, @NamedTuple{x::Vector{Float32}, y::Vector{Float32}, z::Vector{Float32}}, Int64}, charge::Vector{Float32}, mass::Vector{Float32}, goodnessOfPID::Vector{Float32}, covMatrix::StructVector{SVector{10, Float32}, NTuple{10, Vector{Float32}}, Int64}, clusters::StructVector{Relation{ReconstructedParticle, Cluster, 1}, @NamedTuple{first::Vector{UInt32}, last::Vector{UInt32}, collid::Vector{UInt32}}, Int64}, tracks::StructVector{Relation{ReconstructedParticle, Track, 2}, @NamedTuple{first::Vector{UInt32}, last::Vector{UInt32}, collid::Vector{UInt32}}, Int64}, particles::StructVector{Relation{ReconstructedParticle, ReconstructedParticle, 3}, @NamedTuple{first::Vector{UInt32}, last::Vector{UInt32}, collid::Vector{UInt32}}, Int64}, particleIDs::StructVector{Relation{ReconstructedParticle, ParticleID, 4}, @NamedTuple{first::Vector{UInt32}, last::Vector{UInt32}, collid::Vector{UInt32}}, Int64}, startVertex_idx::StructVector{ObjectID{Vertex}, @NamedTuple{index::Vector{Int32}, collectionID::Vector{Int32}}, Int64}, particleIDUsed_idx::StructVector{ObjectID{ParticleID}, @NamedTuple{index::Vector{Int32}, collectionID::Vector{Int32}}, Int64}}, Int64}}, tracks::StructVector{TrackState, @NamedTuple{location::SubArray{Int32, 1, Vector{Int32}, Tuple{UnitRange{Int64}}, true}, D0::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, phi::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, omega::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, Z0::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, tanLambda::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, time::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, referencePoint::StructVector{Vector3f, @NamedTuple{x::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, y::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, z::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}}, Int64}, covMatrix::StructVector{SVector{21, Float32}, NTuple{21, SubArray{Float32, 1, Base.ReshapedArray{Float32, 2, SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, Tuple{}}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}}, true}}, Int64}}, Int64}, bz::Float32, track_L::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, trackdata::StructVector{Track, @NamedTuple{index::StructVector{ObjectID{Track}, @NamedTuple{index::Vector{Int64}, collectionID::Vector{UInt32}}, Int64}, type::SubArray{Int32, 1, Vector{Int32}, Tuple{UnitRange{Int64}}, true}, chi2::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, ndf::SubArray{Int32, 1, Vector{Int32}, Tuple{UnitRange{Int64}}, true}, dEdx::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, dEdxError::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, radiusOfInnermostHit::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, subDetectorHitNumbers::StructVector{PVector{Track, Int32, 1}, @NamedTuple{first::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, last::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, collid::Vector{UInt32}}, Int64}, trackStates::StructVector{PVector{Track, TrackState, 2}, @NamedTuple{first::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, last::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, collid::Vector{UInt32}}, Int64}, dxQuantities::StructVector{PVector{Track, Quantity, 3}, @NamedTuple{first::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, last::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, collid::Vector{UInt32}}, Int64}, trackerHits::StructVector{Relation{Track, TrackerHit, 1}, @NamedTuple{first::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, last::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, collid::Vector{UInt32}}, Int64}, tracks::StructVector{Relation{Track, Track, 2}, @NamedTuple{first::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, last::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, collid::Vector{UInt32}}, Int64}}, Int64}, trackerhits::StructVector{TrackerHit, @NamedTuple{index::StructVector{ObjectID{TrackerHit}, @NamedTuple{index::Vector{Int64}, collectionID::Vector{UInt32}}, Int64}, cellID::SubArray{UInt64, 1, Vector{UInt64}, Tuple{UnitRange{Int64}}, true}, type::SubArray{Int32, 1, Vector{Int32}, Tuple{UnitRange{Int64}}, true}, quality::SubArray{Int32, 1, Vector{Int32}, Tuple{UnitRange{Int64}}, true}, time::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, eDep::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, eDepError::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, position::StructVector{Vector3d, @NamedTuple{x::SubArray{Float64, 1, Vector{Float64}, Tuple{UnitRange{Int64}}, true}, y::SubArray{Float64, 1, Vector{Float64}, Tuple{UnitRange{Int64}}, true}, z::SubArray{Float64, 1, Vector{Float64}, Tuple{UnitRange{Int64}}, true}}, Int64}, covMatrix::StructVector{SVector{6, Float32}, NTuple{6, SubArray{Float32, 1, Base.ReshapedArray{Float32, 2, SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, Tuple{}}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}}, true}}, Int64}, rawHits::StructVector{PVector{TrackerHit, ObjectID, 1}, @NamedTuple{first::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, last::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, collid::Vector{UInt32}}, Int64}}, Int64}, gammadata::StructVector{Cluster, @NamedTuple{index::StructVector{ObjectID{Cluster}, @NamedTuple{index::Vector{Int64}, collectionID::Vector{UInt32}}, Int64}, type::SubArray{Int32, 1, Vector{Int32}, Tuple{UnitRange{Int64}}, true}, energy::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, energyError::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, position::StructVector{Vector3f, @NamedTuple{x::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, y::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, z::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}}, Int64}, positionError::StructVector{SVector{6, Float32}, NTuple{6, SubArray{Float32, 1, Base.ReshapedArray{Float32, 2, SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, Tuple{}}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}}, true}}, Int64}, iTheta::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, phi::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, directionError::StructVector{Vector3f, @NamedTuple{x::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, y::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, z::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}}, Int64}, shapeParameters::StructVector{PVector{Cluster, Float32, 1}, @NamedTuple{first::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, last::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, collid::Vector{UInt32}}, Int64}, subdetectorEnergies::StructVector{PVector{Cluster, Float32, 2}, @NamedTuple{first::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, last::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, collid::Vector{UInt32}}, Int64}, clusters::StructVector{Relation{Cluster, Cluster, 1}, @NamedTuple{first::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, last::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, collid::Vector{UInt32}}, Int64}, hits::StructVector{Relation{Cluster, CalorimeterHit, 2}, @NamedTuple{first::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, last::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, collid::Vector{UInt32}}, Int64}, particleIDs::StructVector{Relation{Cluster, ParticleID, 3}, @NamedTuple{first::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, last::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, collid::Vector{UInt32}}, Int64}}, Int64}, nhdata::StructVector{Cluster, @NamedTuple{index::StructVector{ObjectID{Cluster}, @NamedTuple{index::Vector{Int64}, collectionID::Vector{UInt32}}, Int64}, type::SubArray{Int32, 1, Vector{Int32}, Tuple{UnitRange{Int64}}, true}, energy::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, energyError::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, position::StructVector{Vector3f, @NamedTuple{x::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, y::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, z::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}}, Int64}, positionError::StructVector{SVector{6, Float32}, NTuple{6, SubArray{Float32, 1, Base.ReshapedArray{Float32, 2, SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, Tuple{}}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}}, true}}, Int64}, iTheta::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, phi::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, directionError::StructVector{Vector3f, @NamedTuple{x::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, y::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, z::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}}, Int64}, shapeParameters::StructVector{PVector{Cluster, Float32, 1}, @NamedTuple{first::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, last::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, collid::Vector{UInt32}}, Int64}, subdetectorEnergies::StructVector{PVector{Cluster, Float32, 2}, @NamedTuple{first::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, last::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, collid::Vector{UInt32}}, Int64}, clusters::StructVector{Relation{Cluster, Cluster, 1}, @NamedTuple{first::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, last::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, collid::Vector{UInt32}}, Int64}, hits::StructVector{Relation{Cluster, CalorimeterHit, 2}, @NamedTuple{first::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, last::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, collid::Vector{UInt32}}, Int64}, particleIDs::StructVector{Relation{Cluster, ParticleID, 3}, @NamedTuple{first::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, last::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, collid::Vector{UInt32}}, Int64}}, Int64}, calohits::StructVector{CalorimeterHit, @NamedTuple{index::StructVector{ObjectID{CalorimeterHit}, @NamedTuple{index::Vector{Int64}, collectionID::Vector{UInt32}}, Int64}, cellID::SubArray{UInt64, 1, Vector{UInt64}, Tuple{UnitRange{Int64}}, true}, energy::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, energyError::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, time::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, position::StructVector{Vector3f, @NamedTuple{x::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, y::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, z::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}}, Int64}, type::SubArray{Int32, 1, Vector{Int32}, Tuple{UnitRange{Int64}}, true}}, Int64}, dNdx::StructVector{Quantity, @NamedTuple{type::SubArray{Int16, 1, Vector{Int16}, Tuple{UnitRange{Int64}}, true}, value::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, error::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}}, Int64})\n", + " @ JetFlavourTagging.JetFlavourHelper ~/Developer/2025/JuliaHEPForkToMain/JetReconstruction.jl/ext/JetFlavourTagging/JetFlavourHelper.jl:364\n", + " [2] extract_features(jets::Vector{EEJet}, jcs::Vector{StructVector{ReconstructedParticle, @NamedTuple{index::StructVector{ObjectID{ReconstructedParticle}, @NamedTuple{index::Vector{Int64}, collectionID::Vector{UInt32}}, Int64}, type::Vector{Int32}, energy::Vector{Float32}, momentum::StructVector{Vector3f, @NamedTuple{x::Vector{Float32}, y::Vector{Float32}, z::Vector{Float32}}, Int64}, referencePoint::StructVector{Vector3f, @NamedTuple{x::Vector{Float32}, y::Vector{Float32}, z::Vector{Float32}}, Int64}, charge::Vector{Float32}, mass::Vector{Float32}, goodnessOfPID::Vector{Float32}, covMatrix::StructVector{SVector{10, Float32}, NTuple{10, Vector{Float32}}, Int64}, clusters::StructVector{Relation{ReconstructedParticle, Cluster, 1}, @NamedTuple{first::Vector{UInt32}, last::Vector{UInt32}, collid::Vector{UInt32}}, Int64}, tracks::StructVector{Relation{ReconstructedParticle, Track, 2}, @NamedTuple{first::Vector{UInt32}, last::Vector{UInt32}, collid::Vector{UInt32}}, Int64}, particles::StructVector{Relation{ReconstructedParticle, ReconstructedParticle, 3}, @NamedTuple{first::Vector{UInt32}, last::Vector{UInt32}, collid::Vector{UInt32}}, Int64}, particleIDs::StructVector{Relation{ReconstructedParticle, ParticleID, 4}, @NamedTuple{first::Vector{UInt32}, last::Vector{UInt32}, collid::Vector{UInt32}}, Int64}, startVertex_idx::StructVector{ObjectID{Vertex}, @NamedTuple{index::Vector{Int32}, collectionID::Vector{Int32}}, Int64}, particleIDUsed_idx::StructVector{ObjectID{ParticleID}, @NamedTuple{index::Vector{Int32}, collectionID::Vector{Int32}}, Int64}}, Int64}}, tracks::StructVector{TrackState, @NamedTuple{location::SubArray{Int32, 1, Vector{Int32}, Tuple{UnitRange{Int64}}, true}, D0::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, phi::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, omega::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, Z0::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, tanLambda::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, time::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, referencePoint::StructVector{Vector3f, @NamedTuple{x::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, y::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, z::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}}, Int64}, covMatrix::StructVector{SVector{21, Float32}, NTuple{21, SubArray{Float32, 1, Base.ReshapedArray{Float32, 2, SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, Tuple{}}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}}, true}}, Int64}}, Int64}, bz::Float32, track_L::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, trackdata::StructVector{Track, @NamedTuple{index::StructVector{ObjectID{Track}, @NamedTuple{index::Vector{Int64}, collectionID::Vector{UInt32}}, Int64}, type::SubArray{Int32, 1, Vector{Int32}, Tuple{UnitRange{Int64}}, true}, chi2::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, ndf::SubArray{Int32, 1, Vector{Int32}, Tuple{UnitRange{Int64}}, true}, dEdx::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, dEdxError::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, radiusOfInnermostHit::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, subDetectorHitNumbers::StructVector{PVector{Track, Int32, 1}, @NamedTuple{first::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, last::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, collid::Vector{UInt32}}, Int64}, trackStates::StructVector{PVector{Track, TrackState, 2}, @NamedTuple{first::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, last::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, collid::Vector{UInt32}}, Int64}, dxQuantities::StructVector{PVector{Track, Quantity, 3}, @NamedTuple{first::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, last::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, collid::Vector{UInt32}}, Int64}, trackerHits::StructVector{Relation{Track, TrackerHit, 1}, @NamedTuple{first::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, last::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, collid::Vector{UInt32}}, Int64}, tracks::StructVector{Relation{Track, Track, 2}, @NamedTuple{first::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, last::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, collid::Vector{UInt32}}, Int64}}, Int64}, trackerhits::StructVector{TrackerHit, @NamedTuple{index::StructVector{ObjectID{TrackerHit}, @NamedTuple{index::Vector{Int64}, collectionID::Vector{UInt32}}, Int64}, cellID::SubArray{UInt64, 1, Vector{UInt64}, Tuple{UnitRange{Int64}}, true}, type::SubArray{Int32, 1, Vector{Int32}, Tuple{UnitRange{Int64}}, true}, quality::SubArray{Int32, 1, Vector{Int32}, Tuple{UnitRange{Int64}}, true}, time::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, eDep::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, eDepError::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, position::StructVector{Vector3d, @NamedTuple{x::SubArray{Float64, 1, Vector{Float64}, Tuple{UnitRange{Int64}}, true}, y::SubArray{Float64, 1, Vector{Float64}, Tuple{UnitRange{Int64}}, true}, z::SubArray{Float64, 1, Vector{Float64}, Tuple{UnitRange{Int64}}, true}}, Int64}, covMatrix::StructVector{SVector{6, Float32}, NTuple{6, SubArray{Float32, 1, Base.ReshapedArray{Float32, 2, SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, Tuple{}}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}}, true}}, Int64}, rawHits::StructVector{PVector{TrackerHit, ObjectID, 1}, @NamedTuple{first::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, last::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, collid::Vector{UInt32}}, Int64}}, Int64}, gammadata::StructVector{Cluster, @NamedTuple{index::StructVector{ObjectID{Cluster}, @NamedTuple{index::Vector{Int64}, collectionID::Vector{UInt32}}, Int64}, type::SubArray{Int32, 1, Vector{Int32}, Tuple{UnitRange{Int64}}, true}, energy::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, energyError::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, position::StructVector{Vector3f, @NamedTuple{x::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, y::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, z::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}}, Int64}, positionError::StructVector{SVector{6, Float32}, NTuple{6, SubArray{Float32, 1, Base.ReshapedArray{Float32, 2, SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, Tuple{}}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}}, true}}, Int64}, iTheta::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, phi::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, directionError::StructVector{Vector3f, @NamedTuple{x::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, y::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, z::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}}, Int64}, shapeParameters::StructVector{PVector{Cluster, Float32, 1}, @NamedTuple{first::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, last::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, collid::Vector{UInt32}}, Int64}, subdetectorEnergies::StructVector{PVector{Cluster, Float32, 2}, @NamedTuple{first::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, last::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, collid::Vector{UInt32}}, Int64}, clusters::StructVector{Relation{Cluster, Cluster, 1}, @NamedTuple{first::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, last::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, collid::Vector{UInt32}}, Int64}, hits::StructVector{Relation{Cluster, CalorimeterHit, 2}, @NamedTuple{first::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, last::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, collid::Vector{UInt32}}, Int64}, particleIDs::StructVector{Relation{Cluster, ParticleID, 3}, @NamedTuple{first::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, last::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, collid::Vector{UInt32}}, Int64}}, Int64}, nhdata::StructVector{Cluster, @NamedTuple{index::StructVector{ObjectID{Cluster}, @NamedTuple{index::Vector{Int64}, collectionID::Vector{UInt32}}, Int64}, type::SubArray{Int32, 1, Vector{Int32}, Tuple{UnitRange{Int64}}, true}, energy::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, energyError::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, position::StructVector{Vector3f, @NamedTuple{x::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, y::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, z::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}}, Int64}, positionError::StructVector{SVector{6, Float32}, NTuple{6, SubArray{Float32, 1, Base.ReshapedArray{Float32, 2, SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, Tuple{}}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}}, true}}, Int64}, iTheta::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, phi::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, directionError::StructVector{Vector3f, @NamedTuple{x::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, y::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, z::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}}, Int64}, shapeParameters::StructVector{PVector{Cluster, Float32, 1}, @NamedTuple{first::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, last::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, collid::Vector{UInt32}}, Int64}, subdetectorEnergies::StructVector{PVector{Cluster, Float32, 2}, @NamedTuple{first::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, last::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, collid::Vector{UInt32}}, Int64}, clusters::StructVector{Relation{Cluster, Cluster, 1}, @NamedTuple{first::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, last::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, collid::Vector{UInt32}}, Int64}, hits::StructVector{Relation{Cluster, CalorimeterHit, 2}, @NamedTuple{first::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, last::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, collid::Vector{UInt32}}, Int64}, particleIDs::StructVector{Relation{Cluster, ParticleID, 3}, @NamedTuple{first::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, last::SubArray{UInt32, 1, Vector{UInt32}, Tuple{UnitRange{Int64}}, true}, collid::Vector{UInt32}}, Int64}}, Int64}, calohits::StructVector{CalorimeterHit, @NamedTuple{index::StructVector{ObjectID{CalorimeterHit}, @NamedTuple{index::Vector{Int64}, collectionID::Vector{UInt32}}, Int64}, cellID::SubArray{UInt64, 1, Vector{UInt64}, Tuple{UnitRange{Int64}}, true}, energy::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, energyError::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, time::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, position::StructVector{Vector3f, @NamedTuple{x::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, y::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, z::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}}, Int64}, type::SubArray{Int32, 1, Vector{Int32}, Tuple{UnitRange{Int64}}, true}}, Int64}, dNdx::StructVector{Quantity, @NamedTuple{type::SubArray{Int16, 1, Vector{Int16}, Tuple{UnitRange{Int64}}, true}, value::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}, error::SubArray{Float32, 1, Vector{Float32}, Tuple{UnitRange{Int64}}, true}}, Int64})\n", + " @ JetFlavourTagging ~/Developer/2025/JuliaHEPForkToMain/JetReconstruction.jl/ext/JetFlavourTagging/JetFlavourTagging.jl:47\n", + " [3] top-level scope\n", + " @ ~/Developer/2025/JuliaHEPForkToMain/JetReconstruction.jl/examples/flavour-tagging/jl_notebook_cell_df34fa98e69747e1a8f8a730347b8e2f_Y140sZmlsZQ==.jl:2" + ] + } + ], + "source": [ + "println(\"Extracting features for flavor tagging...\")\n", + "feature_data = extract_features(\n", + " jets, \n", + " jet_constituents, \n", + " tracks, \n", + " bz, \n", + " track_L, \n", + " trackdata, \n", + " trackerhits, \n", + " gammadata, \n", + " nhdata, \n", + " calohits, \n", + " dNdx\n", + ")\n", + "println(\"Step 1: Feature extraction completed.\")\n", + "\n", + "model, config = setup_weaver(\n", + " onnx_path,\n", + " json_path\n", + ")\n", + "\n", + "println(\"Step 2: Weaver setup completed.\")\n", + "\n", + "input_tensors = prepare_input_tensor(\n", + " jet_constituents,\n", + " jets,\n", + " config,\n", + " feature_data\n", + ")\n", + "\n", + "println(\"Step 3: Input tensor preparation completed.\")\n", + "\n", + "println(\"Running flavor tagging inference...\")\n", + "weights = get_weights(\n", + " 0, # Thread slot\n", + " feature_data,\n", + " jets,\n", + " jet_constituents,\n", + " config,\n", + " model\n", + ")\n", + "println(\"Step 4: Weights retrieval completed.\")\n", + "\n", + "jet_scores = Dict{String, Vector{Float32}}()\n", + "for (i, score_name) in enumerate(config[\"output_names\"])\n", + " jet_scores[score_name] = get_weight(weights, i-1)\n", + "end\n", + "\n", + "println(\"Jet scores:\")\n", + "for (name, scores) in jet_scores\n", + " println(\" - $name: $(scores[1])\")\n", + "end" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "6edbb272", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Julia 1.11.5", + "language": "julia", + "name": "julia-1.11" + }, + "language_info": { + "file_extension": ".jl", + "mimetype": "application/julia", + "name": "julia", + "version": "1.11.5" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/ext/JetFlavourTagging/JetConstituent/JetConstituent10Residue.jl b/ext/JetFlavourTagging/JetConstituent/JetConstituent10Residue.jl new file mode 100644 index 00000000..d4bf0a7d --- /dev/null +++ b/ext/JetFlavourTagging/JetConstituent/JetConstituent10Residue.jl @@ -0,0 +1,17 @@ +using EDM4hep +using JetReconstruction +using StructArrays: StructVector + +### Four-Vector Operations and Residuals (11) + +# compute_tlv_jets - Convert jets to TLorentzVector +# sum_tlv_constituents - Sum constituent four-vectors +# InvariantMass - Calculate invariant mass of two objects +# all_invariant_masses - All pairwise invariant masses +# compute_residue_energy - Energy difference (constituents - jet) +# compute_residue_pt - pT difference +# compute_residue_phi - φ difference +# compute_residue_theta - θ difference +# compute_residue_px - px difference +# compute_residue_py - py difference +# compute_residue_pz - pz difference \ No newline at end of file diff --git a/ext/JetFlavourTagging/JetConstituent/JetConstituent2Kinematic.jl b/ext/JetFlavourTagging/JetConstituent/JetConstituent2Kinematic.jl new file mode 100644 index 00000000..da0d501e --- /dev/null +++ b/ext/JetFlavourTagging/JetConstituent/JetConstituent2Kinematic.jl @@ -0,0 +1,263 @@ +using EDM4hep +using JetReconstruction +using StructArrays: StructVector + +### Basic Kinematic (11) + +# get_pt - Transverse momentum +# get_p - Total momentum +# get_e - Energy +# get_mass - Mass +# get_type - Particle type +# get_charge - Electric charge +# get_theta - Polar angle +# get_phi - Azimuthal angle +# get_y - Rapidity +# get_eta - Pseudorapidity +# get_Bz - Magnetic field component + +const JetConstituents = StructVector{ReconstructedParticle, <:Any} +const JetConstituentsData = Vector{Float32} + +""" + get_pt(jcs::Vector{<:JetConstituents}) -> Vector{JetConstituentsData} + +Get the transverse momentum of each particle in each jet. + +# Arguments +- jcs: Vector of jet constituents (each element contains particles for one jet) + +# Returns +A vector of vectors of transverse momentum values (sqrt(px^2 + py^2)) +""" +function get_pt(jcs::Vector{<:JetConstituents}) + return [begin + mom_x = jet_constituents.momentum.x + mom_y = jet_constituents.momentum.y + Float32[@inbounds sqrt(mom_x[i]^2 + mom_y[i]^2) + for i in eachindex(mom_x)] + end for jet_constituents in jcs] +end + +""" + get_p(jcs::Vector{<:JetConstituents}) -> Vector{JetConstituentsData} + +Get the momentum magnitude of each particle in each jet. + +# Arguments +- jcs: Vector of jet constituents + +# Returns +A vector of vectors of momentum magnitudes (sqrt(px^2 + py^2 + pz^2)) +""" +function get_p(jcs::Vector{<:JetConstituents}) + return [begin + mom_x = jet_constituents.momentum.x + mom_y = jet_constituents.momentum.y + mom_z = jet_constituents.momentum.z + Float32[@inbounds sqrt(mom_x[i]^2 + mom_y[i]^2 + mom_z[i]^2) + for i in eachindex(mom_x)] + end for jet_constituents in jcs] +end + +""" + get_e(jcs::Vector{<:JetConstituents}) -> Vector{JetConstituentsData} + +Get the energy of each particle in each jet. + +# Arguments +- jcs: Vector of jet constituents + +# Returns +A vector of vectors of energy values +""" +function get_e(jcs::Vector{JetConstituents}) + return [jet_constituents.energy for jet_constituents in jcs] +end + +""" + get_type(jcs::Vector{<:JetConstituents}) -> Vector{JetConstituentsData} + +Get the PDG type of each particle in each jet. + +# Arguments +- jcs: Vector of jet constituents + +# Returns +A vector of vectors of particle types (PDG codes/Particle IDs) +""" +function get_type(jcs::Vector{<:JetConstituents}) + return [jet_constituents.type for jet_constituents in jcs] +end + +""" + get_mass(jcs::Vector{<:JetConstituents}) -> Vector{JetConstituentsData} + +Get the mass of each particle in each jet. + +# Arguments +- jcs: Vector of jet constituents + +# Returns +A vector of vectors of mass values +""" +function get_mass(jcs::Vector{<:JetConstituents}) + return [jet_constituents.mass for jet_constituents in jcs] +end + +""" + get_charge(jcs::Vector{<:JetConstituents}) -> Vector{JetConstituentsData} + +Get the charge of each particle in each jet. + +# Arguments +- jcs: Vector of jet constituents + +# Returns +A vector of vectors of charge values +""" +function get_charge(jcs::Vector{<:JetConstituents}) + return [jet_constituents.charge for jet_constituents in jcs] +end + +""" + get_theta(jcs::Vector{<:JetConstituents}) -> Vector{JetConstituentsData} + +Get the polar angle of each particle in each jet. + +# Arguments +- jcs: Vector of jet constituents + +# Returns +A vector of vectors of polar angle values +""" +function get_theta(jcs::Vector{<:JetConstituents}) + return [begin + mom_x = jet_constituents.momentum.x + mom_y = jet_constituents.momentum.y + mom_z = jet_constituents.momentum.z + Float32[@inbounds( + let x = mom_x[i], y = mom_y[i], z = mom_z[i] + (x == 0.0f0 && y == 0.0f0 && z == 0.0f0) ? 0.0f0 : atan(sqrt(x^2 + y^2), z) + end + ) for i in eachindex(mom_x)] + end for jet_constituents in jcs] +end + +""" + get_phi(jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} + +Get the azimuthal angle of each particle in each jet. + +# Arguments +- jcs: Vector of jet constituents + +# Returns +A vector of vectors of azimuthal angle values +""" +function get_phi(jcs::Vector{<:JetConstituents}) + return [begin + mom_x = jet_constituents.momentum.x + mom_y = jet_constituents.momentum.y + Float32[@inbounds( + let x = mom_x[i], y = mom_y[i] + (x == 0.0f0 && y == 0.0f0) ? 0.0f0 : atan(y, x) + end + ) for i in eachindex(mom_x)] + end for jet_constituents in jcs] +end + +""" + get_y(jcs::Vector{<:JetConstituents}) -> Vector{JetConstituentsData} + +Get the rapidity of each particle in each jet. + +# Arguments +- jcs: Vector of jet constituents + +# Returns +A vector of vectors of rapidity values +""" +function get_y(jcs::Vector{<:JetConstituents}) + return [begin + energies = jet_constituents.energy + mom_z = jet_constituents.momentum.z + Float32[@inbounds( + let e = energies[i], pz = mom_z[i] + 0.5f0 * log((e + pz) / (e - pz)) + end + ) for i in eachindex(energies)] + end for jet_constituents in jcs] +end + +""" + get_eta(jcs::Vector{<:JetConstituents}) -> Vector{JetConstituentsData} + +Get the pseudorapidity of each particle in each jet. + +# Arguments +- jcs: Vector of jet constituents + +# Returns +A vector of vectors of pseudorapidity values (eta = -ln(tan(theta/2))) +""" +function get_eta(jcs::Vector{<:JetConstituents}) + return [begin + mom_x = jet_constituents.momentum.x + mom_y = jet_constituents.momentum.y + mom_z = jet_constituents.momentum.z + Float32[@inbounds( + let x = mom_x[i], y = mom_y[i], z = mom_z[i] + p = sqrt(x^2 + y^2 + z^2) + if p == 0.0f0 + 0.0f0 + elseif p == abs(z) # particle along beam axis + sign(z) * Inf32 + else + 0.5f0 * log((p + z) / (p - z)) + end + end + ) for i in eachindex(mom_x)] + end for jet_constituents in jcs] +end + +""" + get_Bz(jcs::Vector{<:JetConstituents}, + tracks::StructVector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} + +Calculate the magnetic field Bz for each particle based on track curvature and momentum. + +# Arguments +- jcs: Vector of jet constituents +- tracks: Vector of track states (used to get the omega value) + +# Returns +A vector of vectors of Bz values. +""" +function get_Bz(jcs::Vector{<:JetConstituents}, + tracks::StructVector{EDM4hep.TrackState}) + + a = 2.99792458e8 * 1e3 * 1e-15 + n_tracks = length(tracks) + + # If tracks is a StructVector, we can access omega column directly + omega_values = tracks.omega + + return [begin + mom_x = jet_constituents.momentum.x + mom_y = jet_constituents.momentum.y + charges = jet_constituents.charge + track_indices = jet_constituents.tracks + + Float32[@inbounds( + let track_idx = track_indices[i].first + if track_idx < n_tracks + pt = sqrt(mom_x[i]^2 + mom_y[i]^2) + omega_values[track_idx + 1] / a * pt * copysign(1.0f0, charges[i]) + else + -9.0f0 + end + end + ) for i in eachindex(mom_x)] + end for jet_constituents in jcs] +end \ No newline at end of file diff --git a/ext/JetFlavourTagging/JetConstituent/JetConstituent3Track.jl b/ext/JetFlavourTagging/JetConstituent/JetConstituent3Track.jl new file mode 100644 index 00000000..dab1140f --- /dev/null +++ b/ext/JetFlavourTagging/JetConstituent/JetConstituent3Track.jl @@ -0,0 +1,20 @@ +using EDM4hep +using JetReconstruction +using StructArrays: StructVector + + +### Track Related Functions (10) + +## Track Parameters +# get_d0 - Impact parameter in transverse plane +# get_z0 - Impact parameter along z-axis +# get_phi0 - Initial azimuthal angle +# get_omega - Track curvature +# get_tanLambda - Tangent of dip angle + +## Track Parameter Transformations (XPtoPar) +# XPtoPar_dxy - Transformed transverse impact parameter +# XPtoPar_dz - Transformed longitudinal impact parameter +# XPtoPar_phi - Transformed azimuthal angle +# XPtoPar_C - Track curvature parameter +# XPtoPar_ct - c×tau parameter \ No newline at end of file diff --git a/ext/JetFlavourTagging/JetConstituent/JetConstituent4Cov.jl b/ext/JetFlavourTagging/JetConstituent/JetConstituent4Cov.jl new file mode 100644 index 00000000..38a4505e --- /dev/null +++ b/ext/JetFlavourTagging/JetConstituent/JetConstituent4Cov.jl @@ -0,0 +1,25 @@ +using EDM4hep +using JetReconstruction +using StructArrays: StructVector + +### Covariance Matrix Elements (15) + +## Diagonal Elements +# get_omega_cov - Omega variance +# get_d0_cov - d0 variance +# get_z0_cov - z0 variance +# get_phi0_cov - phi0 variance +# get_tanlambda_cov - tanLambda variance + +## Off-diagonal Elements +# get_d0_z0_cov +# get_phi0_d0_cov +# get_phi0_z0_cov +# get_tanlambda_phi0_cov +# get_tanlambda_d0_cov +# get_tanlambda_z0_cov +# get_omega_tanlambda_cov +# get_omega_phi0_cov +# get_omega_d0_cov +# get_omega_z0_cov + diff --git a/ext/JetFlavourTagging/JetConstituent/JetConstituent5PID.jl b/ext/JetFlavourTagging/JetConstituent/JetConstituent5PID.jl new file mode 100644 index 00000000..06956302 --- /dev/null +++ b/ext/JetFlavourTagging/JetConstituent/JetConstituent5PID.jl @@ -0,0 +1,13 @@ +using EDM4hep +using JetReconstruction +using StructArrays: StructVector + +### Particle Identification (7) + +# get_PIDs - Get particle IDs from MC matching +# get_PIDs_cluster - For clustered jets +# get_isMu - Check if constituent is muon +# get_isEl - Check if constituent is electron +# get_isChargedHad - Check if constituent is charged hadron +# get_isGamma - Check if constituent is photon +# get_isNeutralHad - Check if constituent is neutral hadron \ No newline at end of file diff --git a/ext/JetFlavourTagging/JetConstituent/JetConstituent6Rel.jl b/ext/JetFlavourTagging/JetConstituent/JetConstituent6Rel.jl new file mode 100644 index 00000000..8251dbc5 --- /dev/null +++ b/ext/JetFlavourTagging/JetConstituent/JetConstituent6Rel.jl @@ -0,0 +1,14 @@ +using EDM4hep +using JetReconstruction +using StructArrays: StructVector + +### Relative Kinematics (8) + +# get_erel - Relative energy fraction +# get_erel_cluster - For clustered jets +# get_erel_log - Log of relative energy +# get_erel_log_cluster - For clustered jets +# get_thetarel - Relative polar angle +# get_thetarel_cluster - For clustered jets +# get_phirel - Relative azimuthal angle +# get_phirel_cluster - For clustered jets \ No newline at end of file diff --git a/ext/JetFlavourTagging/JetConstituent/JetConstituent7Special.jl b/ext/JetFlavourTagging/JetConstituent/JetConstituent7Special.jl new file mode 100644 index 00000000..0915b705 --- /dev/null +++ b/ext/JetFlavourTagging/JetConstituent/JetConstituent7Special.jl @@ -0,0 +1,8 @@ +using EDM4hep +using JetReconstruction +using StructArrays: StructVector + +### Special Measurements (2) + +# get_dndx - dE/dx measurement (energy loss) +# get_mtof - Mass from time-of-flight measurement \ No newline at end of file diff --git a/ext/JetFlavourTagging/JetConstituent/JetConstituent8SIP.jl b/ext/JetFlavourTagging/JetConstituent/JetConstituent8SIP.jl new file mode 100644 index 00000000..6242cb86 --- /dev/null +++ b/ext/JetFlavourTagging/JetConstituent/JetConstituent8SIP.jl @@ -0,0 +1,23 @@ +using EDM4hep +using JetReconstruction +using StructArrays: StructVector + +### Impact Parameters and Jet Distance (12) + +## 2D Impact Parameter +# get_Sip2dVal - 2D signed impact parameter value +# get_Sip2dVal_cluster - For clustered jets +# get_Sip2dVal_clusterV - Vectorized version +# get_Sip2dSig - 2D impact parameter significance + +# 3D Impact Parameter +# get_Sip3dVal - 3D signed impact parameter value +# get_Sip3dVal_cluster - For clustered jets +# get_Sip3dVal_clusterV - Vectorized version +# get_Sip3dSig - 3D impact parameter significance + +# Jet Distance +# get_JetDistVal - Jet distance value +# get_JetDistVal_cluster - For clustered jets +# get_JetDistVal_clusterV - Vectorized version +# get_JetDistSig - Jet distance significance \ No newline at end of file diff --git a/ext/JetFlavourTagging/JetConstituent/JetConstituent9Count.jl b/ext/JetFlavourTagging/JetConstituent/JetConstituent9Count.jl new file mode 100644 index 00000000..d79f9e09 --- /dev/null +++ b/ext/JetFlavourTagging/JetConstituent/JetConstituent9Count.jl @@ -0,0 +1,9 @@ +using EDM4hep +using JetReconstruction +using StructArrays: StructVector + +### Counting Functions (3) + +# count_jets - Count number of jets +# count_consts - Count constituents per jet +# count_type - Count constituents of specific type \ No newline at end of file diff --git a/ext/JetFlavourTagging/JetConstituentBuilder.jl b/ext/JetFlavourTagging/JetConstituentBuilder.jl index 6acafd85..534be96c 100644 --- a/ext/JetFlavourTagging/JetConstituentBuilder.jl +++ b/ext/JetFlavourTagging/JetConstituentBuilder.jl @@ -4,7 +4,7 @@ using EDM4hep using StructArrays: StructVector # Define type aliases for clarity # TODO: Move to JetFlavourTagging file. But requires more checks. -const JetConstituents = StructVector{ReconstructedParticle} +const JetConstituents = StructVector{ReconstructedParticle, <:Any} const JetConstituentsData = Vector{Float32} """ @@ -20,7 +20,7 @@ A vector of JetConstituents, each containing the constituents for a specific jet """ build_constituents_cluster(rps::JetConstituents, - indices::Vector{Vector{Int}}) -> Vector{JetConstituents} + indices::Vector{Vector{Int}}) -> Vector{JetConstituents} Build the collection of constituents using cluster indices. @@ -31,13 +31,8 @@ Build the collection of constituents using cluster indices. # Returns A vector of JetConstituents, each containing the constituents for a specific cluster. """ -function build_constituents_cluster(rps::JetConstituents, indices::Vector{Vector{Int64}}) - jcs = Vector{JetConstituents}() - for jet_indices in indices - jc = rps[jet_indices] - push!(jcs, jc) - end - return jcs +function build_constituents_cluster(rps, indices) + return map(jet_indices -> rps[jet_indices], indices) end """ diff --git a/ext/JetFlavourTagging/JetConstituentUtils.jl b/ext/JetFlavourTagging/JetConstituentUtils.jl index 15f1330b..aaff3465 100644 --- a/ext/JetFlavourTagging/JetConstituentUtils.jl +++ b/ext/JetFlavourTagging/JetConstituentUtils.jl @@ -1,5 +1,4 @@ using EDM4hep -using JetReconstruction using StructArrays: StructVector ### TODO's: @@ -16,100 +15,22 @@ using StructArrays: StructVector # 7) Unit tests! (Extract one event!) # Define type aliases for clarity -const JetConstituents = StructVector{ReconstructedParticle} +const JetConstituents = StructVector{ReconstructedParticle, <:Any} const JetConstituentsData = Vector{Float32} -############################################################################# -# Vector structs and operations -############################################################################# - -""" - Vector2(x::Float64, y::Float64) -> Vector2 - -Create a 2D vector with x and y components. - -Fields: -- `X`: The x component of the vector. -- `Y`: The y component of the vector. -""" -struct Vector2 - X::Float64 - Y::Float64 -end - -""" - Vector3(x::Float64, y::Float64, z::Float64) -> Vector3 - -Create a 3D vector with x, y, and z components. - -Fields: -- `X`: The x component of the vector. -- `Y`: The y component of the vector. -- `Z`: The z component of the vector. -""" -struct Vector3 - X::Float64 - Y::Float64 - Z::Float64 -end - -function v3_cross(v::Vector3, w::Vector3) - return Vector3( - v.Y*w.Z - v.Z*w.Y, - v.Z*w.X - v.X*w.Z, - v.X*w.Y - v.Y*w.X, - ) -end - -""" - v3_dot(v::Vector3, w::Vector3) -> Float64 - -Calculate the dot product of two 3D vectors. - -# Returns -The dot product of the two vectors. -""" -function v3_dot(v::Vector3, w::Vector3) - return v.X*w.X + v.Y*w.Y + v.Z*w.Z -end - -""" - v3_norm(v::Vector3) -> Float64 - -Calculate the norm (magnitude) of a 3D vector. - -# Returns -The magnitude of the vector. -""" -function v3_norm(v::Vector3) - return sqrt(v.X^2 + v.Y^2 + v.Z^2) -end - -""" - v3_unit(v::Vector3) -> Vector3 - -Calculate the unit vector of a 3D vector. - -# Returns -The unit vector in the same direction as the input vector. -""" -function v3_unit(v::Vector3) - n = v3_norm(v) - return Vector3(v.X/n, v.Y/n, v.Z/n) -end ################################################################################# # Kinematic variables ################################################################################# """ - get_Bz(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + get_Bz(jcs::Vector{JetConstituents}, tracks::StructVector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} Calculate the magnetic field Bz for each particle based on track curvature and momentum. # Returns A vector of vectors of Bz values (one vector per jet, one value per constituent). """ -function get_Bz(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, +function get_Bz(jcs::Vector{JetConstituents}, tracks::StructVector{EDM4hep.TrackState}) # Constants c_light = 2.99792458e8 # speed of light in m/s @@ -243,15 +164,7 @@ end Get the energy of each particle in each jet. """ function get_e(jcs::Vector{JetConstituents}) - result = Vector{JetConstituentsData}() - for jet_constituents in jcs - e_values = JetConstituentsData() - for p in jet_constituents - push!(e_values, p.energy) - end - push!(result, e_values) - end - return result + return [jet_constituents.energy for jet_constituents in jcs] end """ @@ -346,7 +259,7 @@ function get_type(jcs::Vector{JetConstituents}) end """ - get_phi0(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + get_phi0(jcs::Vector{JetConstituents}, tracks::StructVector{EDM4hep.TrackState}, V::LorentzVector, Bz::Float32) -> Vector{JetConstituentsData} @@ -362,7 +275,7 @@ This is a Julia implementation of the C++ function XPtoPar_phi. # Returns Vector of vectors of phi values (one vector per jet) """ -function get_phi0(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, +function get_phi0(jcs::Vector{JetConstituents}, tracks::StructVector{EDM4hep.TrackState}, V::LorentzVector, Bz::Float32) @@ -406,7 +319,7 @@ function get_phi0(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, end """ - get_dxy(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + get_dxy(jcs::Vector{JetConstituents}, tracks::StructVector{EDM4hep.TrackState}, V::LorentzVector, Bz::Float32) -> Vector{JetConstituentsData} @@ -422,7 +335,7 @@ Reference: FCCAnalyses c++ function XPtoPar_dxy, adapted for jet constituents. # Returns Vector of vectors of dxy values (one vector per jet) """ -function get_dxy(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, +function get_dxy(jcs::Vector{JetConstituents}, tracks::StructVector{EDM4hep.TrackState}, V::LorentzVector, Bz::Float32) @@ -472,7 +385,7 @@ function get_dxy(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, end """ - get_dz(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + get_dz(jcs::Vector{JetConstituents}, tracks::StructVector{EDM4hep.TrackState}, V::LorentzVector, Bz::Float32) -> Vector{JetConstituentsData} @@ -488,7 +401,7 @@ Reference: FCCAnalyses c++ function XPtoPar_dz, adapted for jet constituents. # Returns Vector of vectors of dz values (one vector per jet) """ -function get_dz(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, +function get_dz(jcs::Vector{JetConstituents}, tracks::StructVector{EDM4hep.TrackState}, V::LorentzVector, Bz::Float32) @@ -552,7 +465,7 @@ function get_dz(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, end """ - get_c(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + get_c(jcs::Vector{JetConstituents}, tracks::StructVector{EDM4hep.TrackState}, Bz::Float32) -> Vector{JetConstituentsData} @@ -567,7 +480,7 @@ Reference: FCCAnalyses c++ function XPtoPar_C, adapted for jet constituents. # Returns Vector of vectors of C values (one vector per jet) """ -function get_c(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, +function get_c(jcs::Vector{JetConstituents}, tracks::StructVector{EDM4hep.TrackState}, Bz::Float32) @@ -594,7 +507,7 @@ function get_c(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, end """ - get_ct(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + get_ct(jcs::Vector{JetConstituents}, tracks::StructVector{EDM4hep.TrackState}, Bz::Float32) -> Vector{JetConstituentsData} @@ -609,7 +522,7 @@ Reference: FCCAnalyses c++ function XPtoPar_C, adapted for jet constituents. # Returns Vector of vectors of ct values (one vector per jet) """ -function get_ct(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, +function get_ct(jcs::Vector{JetConstituents}, tracks::StructVector{EDM4hep.TrackState}, Bz::Float32) @@ -650,7 +563,7 @@ Get the d0 covariance (dxy/dxy) for each particle. # Returns Vector of vectors of dxydxy values (one vector per jet) """ -function get_dxydxy(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, +function get_dxydxy(jcs::Vector{JetConstituents}, tracks::StructVector{EDM4hep.TrackState}) result = Vector{JetConstituentsData}() @@ -682,7 +595,7 @@ Get the phi0-d0 covariance (dphi/dxy) for each particle. # Returns Vector of vectors of dphidxy values (one vector per jet) """ -function get_dphidxy(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, +function get_dphidxy(jcs::Vector{JetConstituents}, tracks::StructVector{EDM4hep.TrackState}) result = Vector{JetConstituentsData}() @@ -703,7 +616,7 @@ function get_dphidxy(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, end """ - get_dphidphi(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + get_dphidphi(jcs::Vector{JetConstituents}, tracks::StructVector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} Get the phi covariance (dphi/dphi) for each particle in each jet from its associated track. @@ -716,7 +629,7 @@ Reference: FCCAnalyses c++ function get_phi0_cov, adapted for jet constituents. # Returns Vector of vectors of dphidphi values (one vector per jet) """ -function get_dphidphi(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, +function get_dphidphi(jcs::Vector{JetConstituents}, tracks::StructVector{EDM4hep.TrackState}) result = Vector{JetConstituentsData}() @@ -748,7 +661,7 @@ Get the d0-omega covariance (dxy/c) for each particle. # Returns Vector of vectors of dxyc values (one vector per jet) """ -function get_dxyc(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, +function get_dxyc(jcs::Vector{JetConstituents}, tracks::StructVector{EDM4hep.TrackState}) result = Vector{JetConstituentsData}() @@ -780,7 +693,7 @@ Get the phi0-omega covariance (phi/c) for each particle. # Returns Vector of vectors of phiomega values (one vector per jet) """ -function get_phic(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, +function get_phic(jcs::Vector{JetConstituents}, tracks::StructVector{EDM4hep.TrackState}) result = Vector{JetConstituentsData}() @@ -801,7 +714,7 @@ function get_phic(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, end """ - get_dptdpt(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + get_dptdpt(jcs::Vector{JetConstituents}, tracks::StructVector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} Get the omega covariance (dpt/dpt) for each particle in each jet from its associated track. @@ -814,7 +727,7 @@ Reference: FCCAnalyses c++ function get_omega_cov, adapted for jet constituents. # Returns Vector of vectors of dptdpt values (one vector per jet) """ -function get_dptdpt(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, +function get_dptdpt(jcs::Vector{JetConstituents}, tracks::StructVector{EDM4hep.TrackState}) result = Vector{JetConstituentsData}() @@ -846,7 +759,7 @@ Get the d0-z0 covariance (dxy/dz) for each particle. # Returns Vector of vectors of dxy/dz values (one vector per jet) """ -function get_dxydz(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, +function get_dxydz(jcs::Vector{JetConstituents}, tracks::StructVector{EDM4hep.TrackState}) result = Vector{JetConstituentsData}() @@ -878,7 +791,7 @@ Get the phi0-z0 covariance (dphi/dz) for each particle. # Returns Vector of vectors of phidz values (one vector per jet) """ -function get_phidz(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, +function get_phidz(jcs::Vector{JetConstituents}, tracks::StructVector{EDM4hep.TrackState}) result = Vector{JetConstituentsData}() @@ -910,7 +823,7 @@ Get the omega-z0 covariance (c/dz) for each particle. # Returns Vector of vectors of dxdz values (one vector per jet) """ -function get_cdz(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, +function get_cdz(jcs::Vector{JetConstituents}, tracks::StructVector{EDM4hep.TrackState}) result = Vector{JetConstituentsData}() @@ -942,7 +855,7 @@ Get the z0 covariance (dz/dz) for each particle. # Returns Vector of vectors of dxdz values (one vector per jet) """ -function get_dzdz(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, +function get_dzdz(jcs::Vector{JetConstituents}, tracks::StructVector{EDM4hep.TrackState}) result = Vector{JetConstituentsData}() @@ -974,7 +887,7 @@ Get the d0-tanLambda covariance (dxy/ctgtheta) for each particle. # Returns Vector of vectors of dxyctgtheta values (one vector per jet) """ -function get_dxyctgtheta(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, +function get_dxyctgtheta(jcs::Vector{JetConstituents}, tracks::StructVector{EDM4hep.TrackState}) result = Vector{JetConstituentsData}() @@ -1006,7 +919,7 @@ Get the phi0-tanLambda covariance (phi/ctgtheta) for each particle. # Returns Vector of vectors of phictgtheta values (one vector per jet) """ -function get_phictgtheta(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, +function get_phictgtheta(jcs::Vector{JetConstituents}, tracks::StructVector{EDM4hep.TrackState}) result = Vector{JetConstituentsData}() @@ -1038,7 +951,7 @@ Get the omega-tanLambda covariance (c/ctgtheta) for each particle. # Returns Vector of vectors of cctgtheta values (one vector per jet) """ -function get_cctgtheta(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, +function get_cctgtheta(jcs::Vector{JetConstituents}, tracks::StructVector{EDM4hep.TrackState}) result = Vector{JetConstituentsData}() @@ -1070,7 +983,7 @@ Get the tanLambda-z0 covariance (dlambda/dz) for each particle. # Returns Vector of vectors of dlambdadz values (one vector per jet) """ -function get_dlambdadz(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, +function get_dlambdadz(jcs::Vector{JetConstituents}, tracks::StructVector{EDM4hep.TrackState}) result = Vector{JetConstituentsData}() @@ -1091,7 +1004,7 @@ function get_dlambdadz(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, end """ - get_detadeta(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + get_detadeta(jcs::Vector{JetConstituents}, tracks::StructVector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} Get the tanLambda covariance (deta/deta) for each particle in each jet from its associated track. @@ -1104,7 +1017,7 @@ Reference: FCCAnalyses c++ function get_tanlambda_cov, adapted for jet constitue # Returns Vector of vectors of detadeta values (one vector per jet) """ -function get_detadeta(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, +function get_detadeta(jcs::Vector{JetConstituents}, tracks::StructVector{EDM4hep.TrackState}) result = Vector{JetConstituentsData}() @@ -1131,12 +1044,12 @@ end """ get_erel_log_cluster(jets::Vector{EEJet}, - jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}) -> Vector{JetConstituentsData} + jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} Calculate log of relative energy (log(E_const/E_jet)) for each constituent particle in clustered jets. """ function get_erel_log_cluster(jets::Vector{EEJet}, - jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}) + jcs::Vector{JetConstituents}) # Define the result type result = Vector{JetConstituentsData}() @@ -1166,12 +1079,12 @@ end """ get_thetarel_cluster(jets::Vector{EEJet}, - jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}) -> Vector{JetConstituentsData} + jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} Calculate relative theta angle between constituent particle and clustered jet axis. """ function get_thetarel_cluster(jets::Vector{EEJet}, - jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}) + jcs::Vector{JetConstituents}) result = Vector{JetConstituentsData}() for i in eachindex(jets) @@ -1224,12 +1137,12 @@ end """ get_phirel_cluster(jets::Vector{EEJet}, - jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}) -> Vector{JetConstituentsData} + jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} Calculate relative phi angle between constituent particle and clustered jet axis. """ function get_phirel_cluster(jets::Vector{EEJet}, - jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}) + jcs::Vector{JetConstituents}) result = Vector{JetConstituentsData}() for i in eachindex(jets) @@ -1414,7 +1327,7 @@ end ################################################################################# """ - get_mtof(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + get_mtof(jcs::Vector{JetConstituents}, track_L::AbstractArray{T} where T <: AbstractFloat, trackdata::StructVector{EDM4hep.Track}, trackerhits::StructVector{EDM4hep.TrackerHit}, @@ -1439,7 +1352,7 @@ This is a Julia implementation of the C++ function get_mtof. # Returns Vector of vectors of mtof values (one vector per jet) """ -function get_mtof(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, +function get_mtof(jcs::Vector{JetConstituents}, track_L::AbstractArray{T} where T <: AbstractFloat, trackdata::StructVector{EDM4hep.Track}, trackerhits::StructVector{EDM4hep.TrackerHit}, @@ -1515,7 +1428,7 @@ end ################################################################################## """ - get_dndx(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + get_dndx(jcs::Vector{JetConstituents}, dNdx::StructVector{EDM4hep.Quantity}, trackdata::StructVector{EDM4hep.Track}, JetsConstituents_isChargedHad::Vector{JetConstituentsData}) -> Vector{JetConstituentsData} @@ -1532,7 +1445,7 @@ Only charged hadrons have valid dN/dx values. # Returns Vector of vectors of dN/dx values (one vector per jet, one value per constituent) """ -function get_dndx(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, +function get_dndx(jcs::Vector{JetConstituents}, dNdx::StructVector{EDM4hep.Quantity}, trackdata::StructVector{EDM4hep.Track}, JetsConstituents_isChargedHad::Vector{JetConstituentsData}) @@ -1586,8 +1499,7 @@ function get_Sip2dVal_clusterV(jets::Vector{JetReconstruction.EEJet}, result = Vector{JetConstituentsData}() for i in eachindex(jets) - # p = Vector2(jets[i].px, jets[i].py) - p = [jets[i].px, jets[i].py] # don't use vector2 anymore. comment out first. TODO: Remove Vector2 in later versions + p = [jets[i].px, jets[i].py] sip2d_values = JetConstituentsData() for j in eachindex(D0[i]) @@ -1688,8 +1600,7 @@ function get_Sip3dVal_clusterV(jets::Vector{JetReconstruction.EEJet}, Bz::Float32) result = Vector{JetConstituentsData}() for i in eachindex(jets) - # p = Vector3(jets[i].px, jets[i].py, jets[i].pz) - p = [jets[i].px, jets[i].py, jets[i].pz] # don't use vector3 anymore. comment out first. TODO: Remove Vector3 in later versions + p = [jets[i].px, jets[i].py, jets[i].pz] cprojs = JetConstituentsData() for j in eachindex(D0[i]) @@ -1773,8 +1684,7 @@ function get_JetDistVal_clusterV(jets::Vector{JetReconstruction.EEJet}, result = Vector{JetConstituentsData}() for i in eachindex(jets) - # p_jet = Vector3(jets[i].px, jets[i].py, jets[i].pz) - p_jet = [jets[i].px, jets[i].py, jets[i].pz] # don't use vector3 anymore. comment out first. TODO: Remove Vector3 in later versions + p_jet = [jets[i].px, jets[i].py, jets[i].pz] tmp = JetConstituentsData() ct = jcs[i] diff --git a/ext/JetFlavourTagging/JetFlavourHelper.jl b/ext/JetFlavourTagging/JetFlavourHelper.jl index 5ddbf7ac..b18eea54 100644 --- a/ext/JetFlavourTagging/JetFlavourHelper.jl +++ b/ext/JetFlavourTagging/JetFlavourHelper.jl @@ -5,7 +5,7 @@ using ONNXRunTime # using StaticArrays # using LinearAlgebra using StructArrays: StructVector -## using JetReconstruction # not needed when included in JetReconstruction module +using JetReconstruction using EDM4hep using LorentzVectorHEP @@ -81,7 +81,7 @@ Prepare input tensors for the neural network from jet constituents. # Returns Dictionary of input tensors """ -function prepare_input_tensor(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, +function prepare_input_tensor(jcs::Vector{<:JetConstituents}, jets::Vector{EEJet}, config::Dict, feature_data::Dict) @@ -191,7 +191,7 @@ Compute jet flavor probabilities for each jet. Vector of flavor probabilities for each jet """ function get_weights(slot::Int, vars::Dict{String, Dict{String, Vector{Vector{Float32}}}}, - jets::Vector{EEJet}, jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + jets::Vector{EEJet}, jcs::Vector{<:JetConstituents}, json_config::Dict, model::ONNXRunTime.InferenceSession) # Prepare input tensor @@ -313,15 +313,15 @@ end # TODO: Update the arguements # TODO: Add primary vertex as an argument (from MC Particle) """ - extract_features(jets::Vector{EEJet}, jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, - tracks::StructVector{EDM4hep.TrackState}, bz::Float32, + extract_features(jets::Vector{EEJet}, jcs::Vector{<:JetConstituents}, + tracks::AbstractVector{EDM4hep.TrackState}, bz::Float32, track_L::AbstractArray{T} where T <: AbstractFloat, - trackdata::StructVector{EDM4hep.Track}=StructVector{EDM4hep.Track}(), - trackerhits::StructVector{EDM4hep.TrackerHit}=StructVector{EDM4hep.TrackerHit}(), - gammadata::StructVector{EDM4hep.Cluster}=StructVector{EDM4hep.Cluster}(), - nhdata::StructVector{EDM4hep.Cluster}=StructVector{EDM4hep.Cluster}(), - calohits::StructVector{EDM4hep.CalorimeterHit}=StructVector{EDM4hep.CalorimeterHit}(), - dNdx::StructVector{EDM4hep.Quantity}=StructVector{EDM4hep.Quantity}()) -> Dict + trackdata::AbstractVector{EDM4hep.Track}=AbstractVector{EDM4hep.Track}(), + trackerhits::AbstractVector{EDM4hep.TrackerHit}=AbstractVector{EDM4hep.TrackerHit}(), + gammadata::AbstractVector{EDM4hep.Cluster}=AbstractVector{EDM4hep.Cluster}(), + nhdata::AbstractVector{EDM4hep.Cluster}=AbstractVector{EDM4hep.Cluster}(), + calohits::AbstractVector{EDM4hep.CalorimeterHit}=AbstractVector{EDM4hep.CalorimeterHit}(), + dNdx::AbstractVector{EDM4hep.Quantity}=AbstractVector{EDM4hep.Quantity}()) -> Dict Extract all required features for jet flavor tagging. @@ -335,15 +335,15 @@ Extract all required features for jet flavor tagging. # Returns Dictionary containing all extracted features organized by input type """ -function extract_features(jets::Vector{EEJet}, jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, - tracks::StructVector{EDM4hep.TrackState}, bz::Float32, +function extract_features(jets::Vector{EEJet}, jcs::Vector{<:JetConstituents}, + tracks::AbstractVector{EDM4hep.TrackState}, bz::Float32, track_L::AbstractArray{T} where T <: AbstractFloat, - trackdata::StructVector{EDM4hep.Track}=StructVector{EDM4hep.Track}(), - trackerhits::StructVector{EDM4hep.TrackerHit}=StructVector{EDM4hep.TrackerHit}(), - gammadata::StructVector{EDM4hep.Cluster}=StructVector{EDM4hep.Cluster}(), - nhdata::StructVector{EDM4hep.Cluster}=StructVector{EDM4hep.Cluster}(), - calohits::StructVector{EDM4hep.CalorimeterHit}=StructVector{EDM4hep.CalorimeterHit}(), - dNdx::StructVector{EDM4hep.Quantity}=StructVector{EDM4hep.Quantity}()) + trackdata::AbstractVector{EDM4hep.Track}=AbstractVector{EDM4hep.Track}(), + trackerhits::AbstractVector{EDM4hep.TrackerHit}=AbstractVector{EDM4hep.TrackerHit}(), + gammadata::AbstractVector{EDM4hep.Cluster}=AbstractVector{EDM4hep.Cluster}(), + nhdata::AbstractVector{EDM4hep.Cluster}=AbstractVector{EDM4hep.Cluster}(), + calohits::AbstractVector{EDM4hep.CalorimeterHit}=AbstractVector{EDM4hep.CalorimeterHit}(), + dNdx::AbstractVector{EDM4hep.Quantity}=AbstractVector{EDM4hep.Quantity}()) # Primary vertex (0,0,0,0) for displacement calculations # TODO: Replace with actual primary vertex if available. Right now, the EDM4hep has bugs that don't allow me to get the f32 value. diff --git a/ext/JetFlavourTagging/JetFlavourTagging.jl b/ext/JetFlavourTagging/JetFlavourTagging.jl index 390b5808..fb174f19 100644 --- a/ext/JetFlavourTagging/JetFlavourTagging.jl +++ b/ext/JetFlavourTagging/JetFlavourTagging.jl @@ -7,8 +7,7 @@ using ONNXRunTime using StructArrays: StructVector using LorentzVectorHEP - -const JetConstituents = StructVector{ReconstructedParticle} +const JetConstituents = StructVector{ReconstructedParticle, <:Any} const JetConstituentsData = Vector{Float32} # Building jet constituents from the EDM4hep event @@ -36,15 +35,15 @@ end include("JetFlavourHelper.jl") # extract_features, setup_weaver, prepare_input_tensor, get_weights, get_weight -function JetReconstruction.extract_features(jets::Vector{EEJet}, jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, - tracks::StructVector{EDM4hep.TrackState}, bz::Float32, +function JetReconstruction.extract_features(jets::Vector{EEJet}, jcs::Vector{<:JetConstituents}, + tracks::AbstractVector{EDM4hep.TrackState}, bz::Float32, track_L::AbstractArray{T} where T <: AbstractFloat, - trackdata::StructVector{EDM4hep.Track}=StructVector{EDM4hep.Track}(), - trackerhits::StructVector{EDM4hep.TrackerHit}=StructVector{EDM4hep.TrackerHit}(), - gammadata::StructVector{EDM4hep.Cluster}=StructVector{EDM4hep.Cluster}(), - nhdata::StructVector{EDM4hep.Cluster}=StructVector{EDM4hep.Cluster}(), - calohits::StructVector{EDM4hep.CalorimeterHit}=StructVector{EDM4hep.CalorimeterHit}(), - dNdx::StructVector{EDM4hep.Quantity}=StructVector{EDM4hep.Quantity}()) + trackdata::AbstractVector{EDM4hep.Track}=AbstractVector{EDM4hep.Track}(), + trackerhits::AbstractVector{EDM4hep.TrackerHit}=AbstractVector{EDM4hep.TrackerHit}(), + gammadata::AbstractVector{EDM4hep.Cluster}=AbstractVector{EDM4hep.Cluster}(), + nhdata::AbstractVector{EDM4hep.Cluster}=AbstractVector{EDM4hep.Cluster}(), + calohits::AbstractVector{EDM4hep.CalorimeterHit}=AbstractVector{EDM4hep.CalorimeterHit}(), + dNdx::AbstractVector{EDM4hep.Quantity}=AbstractVector{EDM4hep.Quantity}()) return JetFlavourHelper.extract_features(jets, jcs, tracks, bz, track_L, trackdata, trackerhits, gammadata, nhdata, calohits, dNdx) end @@ -52,7 +51,7 @@ function JetReconstruction.setup_weaver(onnx_path::String, json_path::String) return JetFlavourHelper.setup_weaver(onnx_path, json_path) # TODO: Change this to setup_onnx_runtime end -function JetReconstruction.prepare_input_tensor(jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, +function JetReconstruction.prepare_input_tensor(jcs::Vector{AbstractVector{EDM4hep.ReconstructedParticle}}, jets::Vector{EEJet}, config::Dict, feature_data::Dict) @@ -60,7 +59,7 @@ function JetReconstruction.prepare_input_tensor(jcs::Vector{StructVector{EDM4hep end function JetReconstruction.get_weights(slot::Int, vars::Dict{String, Dict{String, Vector{Vector{Float32}}}}, - jets::Vector{EEJet}, jcs::Vector{StructVector{EDM4hep.ReconstructedParticle}}, + jets::Vector{EEJet}, jcs::Vector{AbstractVector{EDM4hep.ReconstructedParticle}}, json_config::Dict, model::ONNXRunTime.InferenceSession) return JetFlavourHelper.get_weights(slot, vars, jets, jcs, json_config, model) end From 2d2a5fc37724cbc496aaa817a690a99a1cd48dc8 Mon Sep 17 00:00:00 2001 From: Harry Date: Tue, 17 Jun 2025 08:33:08 -0400 Subject: [PATCH 15/47] optimizing all jet constituent methods --- .../JetConstituent/JetConstituent3Track.jl | 343 +++++++++- .../JetConstituent/JetConstituent4Cov.jl | 590 ++++++++++++++++++ .../JetConstituent/JetConstituent5PID.jl | 176 +++++- .../JetConstituent/JetConstituent6Rel.jl | 257 +++++++- 4 files changed, 1344 insertions(+), 22 deletions(-) diff --git a/ext/JetFlavourTagging/JetConstituent/JetConstituent3Track.jl b/ext/JetFlavourTagging/JetConstituent/JetConstituent3Track.jl index dab1140f..7212b1ce 100644 --- a/ext/JetFlavourTagging/JetConstituent/JetConstituent3Track.jl +++ b/ext/JetFlavourTagging/JetConstituent/JetConstituent3Track.jl @@ -2,19 +2,344 @@ using EDM4hep using JetReconstruction using StructArrays: StructVector +const JetConstituents = StructVector{ReconstructedParticle, <:Any} +const JetConstituentsData = Vector{Float32} -### Track Related Functions (10) - -## Track Parameters -# get_d0 - Impact parameter in transverse plane -# get_z0 - Impact parameter along z-axis -# get_phi0 - Initial azimuthal angle -# get_omega - Track curvature -# get_tanLambda - Tangent of dip angle +### Track Related Functions (5) ## Track Parameter Transformations (XPtoPar) # XPtoPar_dxy - Transformed transverse impact parameter # XPtoPar_dz - Transformed longitudinal impact parameter # XPtoPar_phi - Transformed azimuthal angle # XPtoPar_C - Track curvature parameter -# XPtoPar_ct - c×tau parameter \ No newline at end of file +# XPtoPar_ct - c×tau parameter + +""" + get_dxy(jcs::Vector{JetConstituents}, + tracks::StructVector{EDM4hep.TrackState}, + V::LorentzVector, Bz::Float32) -> Vector{JetConstituentsData} + +Calculate the transverse impact parameter dxy for each particle in each jet relative to vertex V. +Reference: FCCAnalyses c++ function XPtoPar_dxy, adapted for jet constituents. + +# Arguments +- jcs: Vector of jet constituents +- tracks: StructVector of TrackState objects +- V: LorentzVector representing the primary vertex +- Bz: The magnetic field in Tesla + +# Returns +Vector of vectors of dxy values (one vector per jet) +""" +function get_dxy(jcs::Vector{<:JetConstituents}, + tracks::StructVector{EDM4hep.TrackState}, + V::LorentzVector, Bz::Float32) + + cSpeed_Bz = 2.99792458e8 * 1.0f-9 * Bz + n_tracks = length(tracks) + + Vx, Vy = Float32(V.x), Float32(V.y) + + D0_values = tracks.D0 + phi_values = tracks.phi + + return [begin + mom_x = jet_constituents.momentum.x + mom_y = jet_constituents.momentum.y + charges = jet_constituents.charge + track_indices = jet_constituents.tracks + + Float32[@inbounds( + let track_idx = track_indices[i].first + if track_idx < n_tracks + idx = track_idx + 1 + D0 = D0_values[idx] + phi0 = phi_values[idx] + + sin_phi, cos_phi = sincos(phi0) + x1 = -D0 * sin_phi - Vx + x2 = D0 * cos_phi - Vy + + px = mom_x[i] + py = mom_y[i] + + a = -charges[i] * cSpeed_Bz + pt = sqrt(px^2 + py^2) + r2 = x1^2 + x2^2 + cross = x1 * py - x2 * px + + # Compute impact parameter + discriminant = pt^2 - 2 * a * cross + a^2 * r2 + if discriminant > 0 + T = sqrt(discriminant) + if pt < 10.0f0 + (T - pt) / a + else + (-2 * cross + a * r2) / (T + pt) + end + else + -9.0f0 + end + else + -9.0f0 + end + end + ) for i in eachindex(mom_x)] + end for jet_constituents in jcs] +end + + +""" + get_dz(jcs::Vector{JetConstituents}, + tracks::StructVector{EDM4hep.TrackState}, + V::LorentzVector, Bz::Float32) -> Vector{JetConstituentsData} + +Calculate the longitudinal impact parameter dz for each particle in each jet relative to vertex V. +Reference: FCCAnalyses c++ function XPtoPar_dz, adapted for jet constituents. + +# Arguments +- jcs: Vector of jet constituents +- tracks: StructVector of TrackState objects +- V: LorentzVector representing the primary vertex +- Bz: The magnetic field in Tesla + +# Returns +Vector of vectors of dz values (one vector per jet) +""" +function get_dz(jcs::Vector{<:JetConstituents}, + tracks::StructVector{EDM4hep.TrackState}, + V::LorentzVector, Bz::Float32) + + cSpeed_Bz = 2.99792458e8 * 1.0f-9 * Bz + n_tracks = length(tracks) + + Vx, Vy, Vz = Float32(V.x), Float32(V.y), Float32(V.z) + + D0_values = tracks.D0 + Z0_values = tracks.Z0 + phi_values = tracks.phi + + return [begin + mom_x = jet_constituents.momentum.x + mom_y = jet_constituents.momentum.y + mom_z = jet_constituents.momentum.z + charges = jet_constituents.charge + track_indices = jet_constituents.tracks + + Float32[@inbounds( + let track_idx = track_indices[i].first + if track_idx < n_tracks + idx = track_idx + 1 + D0 = D0_values[idx] + Z0 = Z0_values[idx] + phi0 = phi_values[idx] + + sin_phi, cos_phi = sincos(phi0) + + x1 = -D0 * sin_phi - Vx + x2 = D0 * cos_phi - Vy + x3 = Z0 - Vz + + px = mom_x[i] + py = mom_y[i] + pz = mom_z[i] + + # Compute intermediate values + a = -charges[i] * cSpeed_Bz + pt = sqrt(px^2 + py^2) + C = a / (2 * pt) + r2 = x1^2 + x2^2 + cross = x1 * py - x2 * px + T = sqrt(pt^2 - 2 * a * cross + a^2 * r2) + + D = if pt < 10.0f0 + (T - pt) / a + else + (-2 * cross + a * r2) / (T + pt) + end + + B_arg = max(r2 - D^2, 0.0f0) / (1 + 2 * C * D) + B = C * sqrt(B_arg) + if abs(B) > 1.0f0 + B = sign(B) + end + + # Calculate st and ct + st = asin(B) / C + ct = pz / pt + + # Calculate z0 + dot = x1 * px + x2 * py + if dot > 0.0f0 + x3 - ct * st + else + x3 + ct * st + end + else + -9.0f0 + end + end + ) for i in eachindex(mom_x)] + end for jet_constituents in jcs] +end + +""" + get_phi0(jcs::Vector{JetConstituents}, + tracks::StructVector{EDM4hep.TrackState}, + V::LorentzVector, Bz::Float32) -> Vector{JetConstituentsData} + +Calculate the phi angle at the point of closest approach for each particle relative to vertex V. +This is a Julia implementation of the C++ function XPtoPar_phi. + +# Arguments +- jcs: Vector of jet constituents +- tracks: StructVector of TrackState objects +- V: LorentzVector representing the primary vertex +- Bz: The magnetic field in Tesla + +# Returns +Vector of vectors of phi values (one vector per jet) +""" +function get_phi0(jcs::Vector{<:JetConstituents}, + tracks::StructVector{EDM4hep.TrackState}, + V::LorentzVector, Bz::Float32) + + cSpeed_Bz = 2.99792458e8 * 1.0f-9 * Bz + n_tracks = length(tracks) + + Vx, Vy = Float32(V.x), Float32(V.y) + + D0_values = tracks.D0 + phi_values = tracks.phi + + return [begin + mom_x = jet_constituents.momentum.x + mom_y = jet_constituents.momentum.y + charges = jet_constituents.charge + track_indices = jet_constituents.tracks + + Float32[@inbounds( + let track_idx = track_indices[i].first + if track_idx < n_tracks + idx = track_idx + 1 + D0 = D0_values[idx] + phi0_track = phi_values[idx] + + sin_phi, cos_phi = sincos(phi0_track) + + x1 = -D0 * sin_phi - Vx + x2 = D0 * cos_phi - Vy + + px = mom_x[i] + py = mom_y[i] + + a = -charges[i] * cSpeed_Bz + + # Minimize redundant calculations + pt2 = px^2 + py^2 + r2 = x1^2 + x2^2 + cross = x1 * py - x2 * px + two_a_cross = 2 * a * cross + a2_r2 = a^2 * r2 + + T = sqrt(pt2 - two_a_cross + a2_r2) + inv_T = 1.0f0 / T + + a_x1 = a * x1 + a_x2 = a * x2 + atan((py - a_x1) * inv_T, (px + a_x2) * inv_T) + else + -9.0f0 + end + end + ) for i in eachindex(mom_x)] + end for jet_constituents in jcs] +end + +""" + get_c(jcs::Vector{JetConstituents}, + tracks::StructVector{EDM4hep.TrackState}, + Bz::Float32) -> Vector{JetConstituentsData} + +Calculate the track curvature for each particle in each jet. +Reference: FCCAnalyses c++ function XPtoPar_C, adapted for jet constituents. + +# Arguments +- jcs: Vector of jet constituents +- tracks: StructVector of TrackState objects +- Bz: The magnetic field in Tesla + +# Returns +Vector of vectors of C values (one vector per jet) +""" +function get_c(jcs::Vector{<:JetConstituents}, + tracks::StructVector{EDM4hep.TrackState}, + Bz::Float32) + + cSpeed_Bz_half = 2.99792458e8 * 1.0f3 * 1.0f-15 * Bz * 0.5f0 + n_tracks = length(tracks) + + return [begin + mom_x = jet_constituents.momentum.x + mom_y = jet_constituents.momentum.y + charges = jet_constituents.charge + track_indices = jet_constituents.tracks + + Float32[@inbounds( + let track_idx = track_indices[i].first + if track_idx < n_tracks + px = mom_x[i] + py = mom_y[i] + inv_pt = 1.0f0 / sqrt(px^2 + py^2) + copysign(cSpeed_Bz_half * inv_pt, charges[i]) + else + -9.0f0 + end + end + ) for i in eachindex(mom_x)] + end for jet_constituents in jcs] +end + +""" + get_ct(jcs::Vector{JetConstituents}, + tracks::StructVector{EDM4hep.TrackState}, + Bz::Float32) -> Vector{JetConstituentsData} + +Calculate the c*tau for each particle in each jet. +Reference: FCCAnalyses c++ function XPtoPar_ct, adapted for jet constituents. + +# Arguments +- jcs: Vector of jet constituents +- tracks: StructVector of TrackState objects +- Bz: The magnetic field in Tesla + +# Returns +Vector of vectors of ct values (one vector per jet) +""" +function get_ct(jcs::Vector{<:JetConstituents}, + tracks::StructVector{EDM4hep.TrackState}, + Bz::Float32) + + n_tracks = length(tracks) + + return [begin + mom_x = jet_constituents.momentum.x + mom_y = jet_constituents.momentum.y + mom_z = jet_constituents.momentum.z + track_indices = jet_constituents.tracks + + Float32[@inbounds( + let track_idx = track_indices[i].first + if track_idx < n_tracks + px = mom_x[i] + py = mom_y[i] + pz = mom_z[i] + pt = sqrt(px^2 + py^2) + pz / pt + else + -9.0f0 + end + end + ) for i in eachindex(mom_x)] + end for jet_constituents in jcs] +end \ No newline at end of file diff --git a/ext/JetFlavourTagging/JetConstituent/JetConstituent4Cov.jl b/ext/JetFlavourTagging/JetConstituent/JetConstituent4Cov.jl index 38a4505e..621a0758 100644 --- a/ext/JetFlavourTagging/JetConstituent/JetConstituent4Cov.jl +++ b/ext/JetFlavourTagging/JetConstituent/JetConstituent4Cov.jl @@ -23,3 +23,593 @@ using StructArrays: StructVector # get_omega_d0_cov # get_omega_z0_cov +""" + get_dxydxy(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} + +Get the d0 covariance (dxy/dxy) for each particle. + +# Arguments +- jcs: Vector of jet constituents +- tracks: StructVector of TrackState objects + +# Returns +Vector of vectors of dxydxy values +""" +function get_dxydxy(jcs::Vector{<:JetConstituents}, + tracks::StructVector{EDM4hep.TrackState}) + + n_jets = length(jcs) + n_tracks = length(tracks) + result = Vector{JetConstituentsData}(undef, n_jets) + + @inbounds for j in 1:n_jets + jet_constituents = jcs[j] + track_indices = jet_constituents.tracks + n_particles = length(track_indices) + + jet_result = Vector{Float32}(undef, n_particles) + + @simd ivdep for i in 1:n_particles + track_idx = track_indices[i].first + jet_result[i] = ifelse(track_idx < n_tracks, + tracks[track_idx + 1].covMatrix[1], + -9.0f0) + end + + result[j] = jet_result + end + + return result +end + +""" + get_dphidxy(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} + +Get the phi0-d0 covariance (dphi/dxy) for each particle. + +# Arguments +- jcs: Vector of jet constituents +- tracks: StructVector of TrackState objects + +# Returns +Vector of vectors of dphidxy values +""" +function get_dphidxy(jcs::Vector{<:JetConstituents}, + tracks::StructVector{EDM4hep.TrackState}) + + n_jets = length(jcs) + n_tracks = length(tracks) + result = Vector{JetConstituentsData}(undef, n_jets) + + @inbounds for j in 1:n_jets + jet_constituents = jcs[j] + track_indices = jet_constituents.tracks + n_particles = length(track_indices) + + jet_result = Vector{Float32}(undef, n_particles) + + @simd ivdep for i in 1:n_particles + track_idx = track_indices[i].first + jet_result[i] = ifelse(track_idx < n_tracks, + tracks[track_idx + 1].covMatrix[2], + -9.0f0) + end + + result[j] = jet_result + end + + return result +end + +""" + get_dphidphi(jcs::Vector{JetConstituents}, + tracks::StructVector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} + +Get the phi covariance (dphi/dphi) for each particle in each jet from its associated track. +Reference: FCCAnalyses c++ function get_phi0_cov, adapted for jet constituents. + +# Arguments +- jcs: Vector of jet constituents +- tracks: StructVector of TrackState objects + +# Returns +Vector of vectors of dphidphi values +""" +function get_dphidphi(jcs::Vector{<:JetConstituents}, + tracks::StructVector{EDM4hep.TrackState}) + + n_jets = length(jcs) + n_tracks = length(tracks) + result = Vector{JetConstituentsData}(undef, n_jets) + + @inbounds for j in 1:n_jets + jet_constituents = jcs[j] + track_indices = jet_constituents.tracks + n_particles = length(track_indices) + + jet_result = Vector{Float32}(undef, n_particles) + + @simd ivdep for i in 1:n_particles + track_idx = track_indices[i].first + jet_result[i] = ifelse(track_idx < n_tracks, + tracks[track_idx + 1].covMatrix[3], + -9.0f0) + end + + result[j] = jet_result + end + + return result +end + +""" + get_dxyc(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} + +Get the d0-omega covariance (dxy/c) for each particle. + +# Arguments +- jcs: Vector of jet constituents +- tracks: StructVector of TrackState objects + +# Returns +Vector of vectors of dxyc values +""" +function get_dxyc(jcs::Vector{<:JetConstituents}, + tracks::StructVector{EDM4hep.TrackState}) + + n_jets = length(jcs) + n_tracks = length(tracks) + result = Vector{JetConstituentsData}(undef, n_jets) + + @inbounds for j in 1:n_jets + jet_constituents = jcs[j] + track_indices = jet_constituents.tracks + n_particles = length(track_indices) + + jet_result = Vector{Float32}(undef, n_particles) + + @simd ivdep for i in 1:n_particles + track_idx = track_indices[i].first + jet_result[i] = ifelse(track_idx < n_tracks, + tracks[track_idx + 1].covMatrix[4], + -9.0f0) + end + + result[j] = jet_result + end + + return result +end + +""" + get_phic(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} + +Get the phi0-omega covariance (phi/c) for each particle. + +# Arguments +- jcs: Vector of jet constituents +- tracks: StructVector of TrackState objects + +# Returns +Vector of vectors of phiomega values +""" +function get_phic(jcs::Vector{<:JetConstituents}, + tracks::StructVector{EDM4hep.TrackState}) + + n_jets = length(jcs) + n_tracks = length(tracks) + result = Vector{JetConstituentsData}(undef, n_jets) + + @inbounds for j in 1:n_jets + jet_constituents = jcs[j] + track_indices = jet_constituents.tracks + n_particles = length(track_indices) + + jet_result = Vector{Float32}(undef, n_particles) + + @simd ivdep for i in 1:n_particles + track_idx = track_indices[i].first + jet_result[i] = ifelse(track_idx < n_tracks, + tracks[track_idx + 1].covMatrix[5], + -9.0f0) + end + + result[j] = jet_result + end + + return result +end + +""" + get_dptdpt(jcs::Vector{JetConstituents}, + tracks::StructVector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} + +Get the omega covariance (dpt/dpt) for each particle in each jet from its associated track. +Reference: FCCAnalyses c++ function get_omega_cov, adapted for jet constituents. + +# Arguments +- jcs: Vector of jet constituents (each element contains particles for one jet) +- tracks: StructVector of TrackState objects + +# Returns +Vector of vectors of dptdpt values +""" +function get_dptdpt(jcs::Vector{<:JetConstituents}, + tracks::StructVector{EDM4hep.TrackState}) + + n_jets = length(jcs) + n_tracks = length(tracks) + result = Vector{JetConstituentsData}(undef, n_jets) + + @inbounds for j in 1:n_jets + jet_constituents = jcs[j] + track_indices = jet_constituents.tracks + n_particles = length(track_indices) + + jet_result = Vector{Float32}(undef, n_particles) + + @simd ivdep for i in 1:n_particles + track_idx = track_indices[i].first + jet_result[i] = ifelse(track_idx < n_tracks, + tracks[track_idx + 1].covMatrix[6], + -9.0f0) + end + + result[j] = jet_result + end + + return result +end + +""" + get_dxydz(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} + +Get the d0-z0 covariance (dxy/dz) for each particle. + +# Arguments +- jcs: Vector of jet constituents +- tracks: StructVector of TrackState objects + +# Returns +Vector of vectors of dxy/dz values +""" +function get_dxydz(jcs::Vector{<:JetConstituents}, + tracks::StructVector{EDM4hep.TrackState}) + + n_jets = length(jcs) + n_tracks = length(tracks) + result = Vector{JetConstituentsData}(undef, n_jets) + + @inbounds for j in 1:n_jets + jet_constituents = jcs[j] + track_indices = jet_constituents.tracks + n_particles = length(track_indices) + + jet_result = Vector{Float32}(undef, n_particles) + + @simd ivdep for i in 1:n_particles + track_idx = track_indices[i].first + jet_result[i] = ifelse(track_idx < n_tracks, + tracks[track_idx + 1].covMatrix[7], + -9.0f0) + end + + result[j] = jet_result + end + + return result +end + +""" + get_phidz(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} + +Get the phi0-z0 covariance (dphi/dz) for each particle. + +# Arguments +- jcs: Vector of jet constituents +- tracks: StructVector of TrackState objects + +# Returns +Vector of vectors of phidz values +""" +function get_phidz(jcs::Vector{<:JetConstituents}, + tracks::StructVector{EDM4hep.TrackState}) + + n_jets = length(jcs) + n_tracks = length(tracks) + result = Vector{JetConstituentsData}(undef, n_jets) + + @inbounds for j in 1:n_jets + jet_constituents = jcs[j] + track_indices = jet_constituents.tracks + n_particles = length(track_indices) + + jet_result = Vector{Float32}(undef, n_particles) + + @simd ivdep for i in 1:n_particles + track_idx = track_indices[i].first + jet_result[i] = ifelse(track_idx < n_tracks, + tracks[track_idx + 1].covMatrix[8], + -9.0f0) + end + + result[j] = jet_result + end + + return result +end + +""" + get_cdz(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} + +Get the omega-z0 covariance (c/dz) for each particle. + +# Arguments +- jcs: Vector of jet constituents +- tracks: StructVector of TrackState objects + +# Returns +Vector of vectors of dxdz values +""" +function get_cdz(jcs::Vector{<:JetConstituents}, + tracks::StructVector{EDM4hep.TrackState}) + + n_jets = length(jcs) + n_tracks = length(tracks) + result = Vector{JetConstituentsData}(undef, n_jets) + + @inbounds for j in 1:n_jets + jet_constituents = jcs[j] + track_indices = jet_constituents.tracks + n_particles = length(track_indices) + + jet_result = Vector{Float32}(undef, n_particles) + + @simd ivdep for i in 1:n_particles + track_idx = track_indices[i].first + jet_result[i] = ifelse(track_idx < n_tracks, + tracks[track_idx + 1].covMatrix[9], + -9.0f0) + end + + result[j] = jet_result + end + + return result +end + +""" + get_dzdz(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} + +Get the z0 covariance (dz/dz) for each particle. + +# Arguments +- jcs: Vector of jet constituents +- tracks: StructVector of TrackState objects + +# Returns +Vector of vectors of z0 covariance values +""" +function get_dzdz(jcs::Vector{<:JetConstituents}, + tracks::StructVector{EDM4hep.TrackState}) + + n_jets = length(jcs) + n_tracks = length(tracks) + result = Vector{JetConstituentsData}(undef, n_jets) + + @inbounds for j in 1:n_jets + jet_constituents = jcs[j] + track_indices = jet_constituents.tracks + n_particles = length(track_indices) + + jet_result = Vector{Float32}(undef, n_particles) + + @simd ivdep for i in 1:n_particles + track_idx = track_indices[i].first + jet_result[i] = ifelse(track_idx < n_tracks, + tracks[track_idx + 1].covMatrix[10], + -9.0f0) + end + + result[j] = jet_result + end + + return result +end + +""" + get_dxyctgtheta(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} + +Get the d0-tanLambda covariance (dxy/ctgtheta) for each particle. + +# Arguments +- jcs: Vector of jet constituents +- tracks: StructVector of TrackState objects + +# Returns +Vector of vectors of dxyctgtheta values +""" +function get_dxyctgtheta(jcs::Vector{<:JetConstituents}, + tracks::StructVector{EDM4hep.TrackState}) + + n_jets = length(jcs) + n_tracks = length(tracks) + result = Vector{JetConstituentsData}(undef, n_jets) + + @inbounds for j in 1:n_jets + jet_constituents = jcs[j] + track_indices = jet_constituents.tracks + n_particles = length(track_indices) + + jet_result = Vector{Float32}(undef, n_particles) + + @simd ivdep for i in 1:n_particles + track_idx = track_indices[i].first + jet_result[i] = ifelse(track_idx < n_tracks, + tracks[track_idx + 1].covMatrix[11], + -9.0f0) + end + + result[j] = jet_result + end + + return result +end + +""" + get_phictgtheta(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} + +Get the phi0-tanLambda covariance (phi/ctgtheta) for each particle. + +# Arguments +- jcs: Vector of jet constituents +- tracks: StructVector of TrackState objects + +# Returns +Vector of vectors of phictgtheta values +""" +function get_phictgtheta(jcs::Vector{JetConstituents}, + tracks::StructVector{EDM4hep.TrackState}) + + n_jets = length(jcs) + n_tracks = length(tracks) + result = Vector{JetConstituentsData}(undef, n_jets) + + @inbounds for j in 1:n_jets + jet_constituents = jcs[j] + track_indices = jet_constituents.tracks + n_particles = length(track_indices) + + jet_result = Vector{Float32}(undef, n_particles) + + @simd ivdep for i in 1:n_particles + track_idx = track_indices[i].first + jet_result[i] = ifelse(track_idx < n_tracks, + tracks[track_idx + 1].covMatrix[12], + -9.0f0) + end + + result[j] = jet_result + end + + return result +end + +""" + get_cctgtheta(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} + +Get the omega-tanLambda covariance (c/ctgtheta) for each particle. + +# Arguments +- jcs: Vector of jet constituents +- tracks: StructVector of TrackState objects + +# Returns +Vector of vectors of cctgtheta values +""" +function get_cctgtheta(jcs::Vector{JetConstituents}, + tracks::StructVector{EDM4hep.TrackState}) + + n_jets = length(jcs) + n_tracks = length(tracks) + result = Vector{JetConstituentsData}(undef, n_jets) + + @inbounds for j in 1:n_jets + jet_constituents = jcs[j] + track_indices = jet_constituents.tracks + n_particles = length(track_indices) + + jet_result = Vector{Float32}(undef, n_particles) + + @simd ivdep for i in 1:n_particles + track_idx = track_indices[i].first + jet_result[i] = ifelse(track_idx < n_tracks, + tracks[track_idx + 1].covMatrix[13], + -9.0f0) + end + + result[j] = jet_result + end + + return result +end + +""" + get_dlambdadz(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} + +Get the tanLambda-z0 covariance (dlambda/dz) for each particle. + +# Arguments +- jcs: Vector of jet constituents +- tracks: StructVector of TrackState objects + +# Returns +Vector of vectors of dlambdadz values +""" +function get_dlambdadz(jcs::Vector{JetConstituents}, + tracks::StructVector{EDM4hep.TrackState}) + + n_jets = length(jcs) + n_tracks = length(tracks) + result = Vector{JetConstituentsData}(undef, n_jets) + + @inbounds for j in 1:n_jets + jet_constituents = jcs[j] + track_indices = jet_constituents.tracks + n_particles = length(track_indices) + + jet_result = Vector{Float32}(undef, n_particles) + + @simd ivdep for i in 1:n_particles + track_idx = track_indices[i].first + jet_result[i] = ifelse(track_idx < n_tracks, + tracks[track_idx + 1].covMatrix[14], + -9.0f0) + end + + result[j] = jet_result + end + + return result +end + +""" + get_detadeta(jcs::Vector{JetConstituents}, + tracks::StructVector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} + +Get the tanLambda covariance (deta/deta) for each particle in each jet from its associated track. +Reference: FCCAnalyses c++ function get_tanlambda_cov, adapted for jet constituents. + +# Arguments +- jcs: Vector of jet constituents +- tracks: StructVector of TrackState objects + +# Returns +Vector of vectors of detadeta values +""" +function get_detadeta(jcs::Vector{JetConstituents}, + tracks::StructVector{EDM4hep.TrackState}) + + n_jets = length(jcs) + n_tracks = length(tracks) + result = Vector{JetConstituentsData}(undef, n_jets) + + @inbounds for j in 1:n_jets + jet_constituents = jcs[j] + track_indices = jet_constituents.tracks + n_particles = length(track_indices) + + jet_result = Vector{Float32}(undef, n_particles) + + @simd ivdep for i in 1:n_particles + track_idx = track_indices[i].first + jet_result[i] = ifelse(track_idx < n_tracks, + tracks[track_idx + 1].covMatrix[15], + -9.0f0) + end + + result[j] = jet_result + end + + return result +end \ No newline at end of file diff --git a/ext/JetFlavourTagging/JetConstituent/JetConstituent5PID.jl b/ext/JetFlavourTagging/JetConstituent/JetConstituent5PID.jl index 06956302..3a6added 100644 --- a/ext/JetFlavourTagging/JetConstituent/JetConstituent5PID.jl +++ b/ext/JetFlavourTagging/JetConstituent/JetConstituent5PID.jl @@ -2,12 +2,180 @@ using EDM4hep using JetReconstruction using StructArrays: StructVector -### Particle Identification (7) +### Particle Identification (5) -# get_PIDs - Get particle IDs from MC matching -# get_PIDs_cluster - For clustered jets # get_isMu - Check if constituent is muon # get_isEl - Check if constituent is electron # get_isChargedHad - Check if constituent is charged hadron # get_isGamma - Check if constituent is photon -# get_isNeutralHad - Check if constituent is neutral hadron \ No newline at end of file +# get_isNeutralHad - Check if constituent is neutral hadron + +""" + get_isMu(jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} + +Check if each constituent particle is a muon. + +# Arguments +- jcs: Vector of jet constituents + +# Returns +Vector of vectors of is muon boolean values as Float32. +""" +function get_isMu(jcs::Vector{<:JetConstituents}) + n_jets = length(jcs) + result = Vector{Vector{Float32}}(undef, n_jets) + + @inbounds for j in 1:n_jets + jet_constituents = jcs[j] + charges = jet_constituents.charge + masses = jet_constituents.mass + n_particles = length(charges) + + is_mu = Vector{Float32}(undef, n_particles) + + @simd for i in 1:n_particles + charge_check = abs(charges[i]) > 0 + mass_check = abs(masses[i] - 0.105658f0) < 1.0f-3 + is_mu[i] = (charge_check & mass_check) ? 1.0f0 : 0.0f0 + end + + result[j] = is_mu + end + + return result +end + +""" + get_isEl(jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} + +Check if each constituent particle is an electron. + +# Arguments +- jcs: Vector of jet constituents + +# Returns +Vector of vectors of is electron boolean values as Float32. +""" +function get_isEl(jcs::Vector{<:JetConstituents}) + + n_jets = length(jcs) + result = Vector{Vector{Float32}}(undef, n_jets) + + @inbounds for j in 1:n_jets + jet_constituents = jcs[j] + charges = jet_constituents.charge + masses = jet_constituents.mass + n_particles = length(charges) + + is_mu = Vector{Float32}(undef, n_particles) + + @simd for i in 1:n_particles + charge_check = abs(charges[i]) > 0 + mass_check = abs(masses[i] - 0.000510999f0) < 1.0f-5 + is_mu[i] = (charge_check & mass_check) ? 1.0f0 : 0.0f0 + end + + result[j] = is_mu + end + + return result +end + +""" + get_isChargedHad(jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} + +Check if each constituent particle is a charged hadron. + +# Arguments +- jcs: Vector of jet constituents + +# Returns +Vector of vectors of is charged hadron boolean values as Float32. +""" +function get_isChargedHad(jcs::Vector{JetConstituents}) + n_jets = length(jcs) + result = Vector{Vector{Float32}}(undef, n_jets) + + @inbounds for j in 1:n_jets + jet_constituents = jcs[j] + charges = jet_constituents.charge + masses = jet_constituents.mass + n_particles = length(charges) + + is_mu = Vector{Float32}(undef, n_particles) + + @simd for i in 1:n_particles + charge_check = abs(charges[i]) > 0 + mass_check = abs(masses[i] - 0.13957f0) < 1.0f-3 + is_mu[i] = (charge_check & mass_check) ? 1.0f0 : 0.0f0 + end + + result[j] = is_mu + end + + return result +end + +""" + get_isGamma(jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} + +Check if each constituent particle is a photon (gamma) (PDG 22). + +# Arguments +- jcs: Vector of jet constituents + +# Returns +Vector of vectors of is photon boolean values as Float32. +""" +function get_isGamma(jcs::Vector{<:JetConstituents}) + n_jets = length(jcs) + result = Vector{Vector{Float32}}(undef, n_jets) + + @inbounds for j in 1:n_jets + jet_constituents = jcs[j] + types = jet_constituents.type + n_particles = length(types) + + is_gamma = Vector{Float32}(undef, n_particles) + + @simd for i in 1:n_particles + is_gamma[i] = types[i] == 22 ? 1.0f0 : 0.0f0 + end + + result[j] = is_gamma + end + + return result +end + +""" + get_isNeutralHad(jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} + +Check if each constituent particle is a neutral hadron (PDG 130). + +# Arguments +- jcs: Vector of jet constituents + +# Returns +Vector of vectors of is neutral hadron boolean values as Float32. +""" +function get_isNeutralHad(jcs::Vector{<:JetConstituents}) + n_jets = length(jcs) + result = Vector{Vector{Float32}}(undef, n_jets) + + @inbounds for j in 1:n_jets + jet_constituents = jcs[j] + types = jet_constituents.type + n_particles = length(types) + + is_gamma = Vector{Float32}(undef, n_particles) + + @simd for i in 1:n_particles + is_gamma[i] = types[i] == 130 ? 1.0f0 : 0.0f0 + end + + result[j] = is_gamma + end + + return result +end \ No newline at end of file diff --git a/ext/JetFlavourTagging/JetConstituent/JetConstituent6Rel.jl b/ext/JetFlavourTagging/JetConstituent/JetConstituent6Rel.jl index 8251dbc5..f448c554 100644 --- a/ext/JetFlavourTagging/JetConstituent/JetConstituent6Rel.jl +++ b/ext/JetFlavourTagging/JetConstituent/JetConstituent6Rel.jl @@ -1,14 +1,253 @@ using EDM4hep using JetReconstruction +using LoopVectorization using StructArrays: StructVector -### Relative Kinematics (8) +### Relative Kinematics (4) -# get_erel - Relative energy fraction -# get_erel_cluster - For clustered jets -# get_erel_log - Log of relative energy -# get_erel_log_cluster - For clustered jets -# get_thetarel - Relative polar angle -# get_thetarel_cluster - For clustered jets -# get_phirel - Relative azimuthal angle -# get_phirel_cluster - For clustered jets \ No newline at end of file +# get_erel_cluster - Relative energy for clustered jets +# get_erel_log_cluster - Log of relative energy for clustered jets +# get_thetarel_cluster - Relative polar angle for clustered jets +# get_phirel_cluster - Relative azimuthal angle for clustered jets +# get_theta_phi_rel_cluster - Combined relative angles for clustered jets as they use the same logic + + +""" + get_erel_cluster(jets::Vector{EEJet}, + jcs::Vector{<:JetConstituents}) -> Vector{JetConstituentsData} + +Calculate relative energy (E_const/E_jet) for each constituent particle in clustered jets. + +# Arguments +- `jets::Vector{EEJet}`: Vector of clustered jets. +- `jcs::Vector{<:JetConstituents}`: Vector of jet constituents corresponding to the jets. + +# Returns +Vector containing relative energy values for each constituent in the jets. +""" +function get_erel_log_cluster(jets::Vector{EEJet}, + jcs::Vector{<:JetConstituents}) + n_jets = length(jets) + res = Vector{Vector{Float32}}(undef, n_jets) + + @inbounds for i in 1:n_jets + e_jet = jets[i].E + csts = jcs[i] + energies = csts.energy + n_constituents = length(energies) + jet_csts = Vector{Float32}(undef, n_constituents) + + if e_jet > 0.0f0 + inv_e_jet = 1.0f0 / e_jet + @turbo for j in 1:n_constituents + jet_csts[j] = energies[j] * inv_e_jet + end + else + @turbo for j in 1:n_constituents + jet_csts[j] = 0.0f0 + end + end + + res[i] = jet_csts + end + + return res +end + +""" + get_erel_log_cluster(jets::Vector{EEJet}, + jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} + +Calculate log of relative energy (log(E_const/E_jet)) for each constituent particle in clustered jets. + +# Arguments +- `jets::Vector{EEJet}`: Vector of clustered jets +- `jcs::Vector{JetConstituents}`: Vector of jet constituents corresponding to the jets + +# Returns +Vector containing log of relative energy values for each constituent in the jets +""" +function get_erel_log_cluster(jets::Vector{EEJet}, + jcs::Vector{<:JetConstituents}) + n_jets = length(jets) + res = Vector{Vector{Float32}}(undef, n_jets) + + @inbounds for i in 1:n_jets + e_jet = jets[i].E + csts = jcs[i] + energies = csts.energy + n_constituents = length(energies) + jet_csts = Vector{Float32}(undef, n_constituents) + + if e_jet > 0.0f0 + inv_e_jet = 1.0f0 / e_jet + @turbo for j in 1:n_constituents + jet_csts[j] = log10(energies[j] * inv_e_jet) + end + else + @turbo for j in 1:n_constituents + jet_csts[j] = 0.0f0 + end + end + + res[i] = jet_csts + end + + return res +end + +""" + get_thetarel_cluster(jets::Vector{EEJet}, + jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} + +Calculate relative theta angle between constituent particle and clustered jet axis. + +# Arguments +- `jets::Vector{EEJet}`: Vector of clustered jets +- `jcs::Vector{JetConstituents}`: Vector of jet constituents corresponding to the jets + +# Returns +Vector containing relative theta angle values for each constituent in the jets +""" +function get_thetarel_cluster(jets::Vector{EEJet}, + jcs::Vector{JetConstituents}) + result = Vector{JetConstituentsData}() + + for i in eachindex(jets) + jet_csts = Float32[] + + jet = jets[i] + px, py, pz = jet.px, jet.py, jet.pz + theta_jet = (px == 0.0f0 && py == 0.0f0 && pz == 0.0f0) ? 0.0f0 : atan(sqrt(px^2 + py^2), pz) + phi_jet = (px == 0.0f0 && py == 0.0f0) ? 0.0f0 : atan(py, px) + + csts = jcs[i] + for jc in csts + p_const_x = jc.momentum.x + p_const_y = jc.momentum.y + p_const_z = jc.momentum.z + + # rotate z by -phi_jet, then rotate y by -theta_jet + # First rotate around z-axis by -phi_jet + p_rot_x = p_const_x * cos(-phi_jet) - p_const_y * sin(-phi_jet) + p_rot_y = p_const_x * sin(-phi_jet) + p_const_y * cos(-phi_jet) + p_rot_z = p_const_z + # Then rotate around y-axis by -theta_jet + p_rot2_x = p_rot_x * cos(-theta_jet) - p_rot_z * sin(-theta_jet) + p_rot2_z = p_rot_x * sin(-theta_jet) + p_rot_z * cos(-theta_jet) + p_rot2_y = p_rot_y + # Calculate theta in rotated frame + theta_rel = (p_rot2_x == 0.0f0 && p_rot2_y == 0.0f0 && p_rot2_z == 0.0f0) ? 0.0f0 : atan(sqrt(p_rot2_x^2 + p_rot2_y^2), p_rot2_z) + push!(jet_csts, theta_rel) + end + push!(result, jet_csts) + end + + return result +end + +""" + get_phirel_cluster(jets::Vector{EEJet}, + jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} + +Calculate relative phi angle between constituent particle and clustered jet axis. + +# Arguments +- `jets::Vector{EEJet}`: Vector of clustered jets +- `jcs::Vector{JetConstituents}`: Vector of jet constituents corresponding to the jets + +# Returns +Vector containing relative phi angle values for each constituent in the jets +""" +function get_phirel_cluster(jets::Vector{EEJet}, + jcs::Vector{JetConstituents}) + result = Vector{JetConstituentsData}() + + for i in eachindex(jets) + jet_csts = Float32[] + + jet = jets[i] + px, py, pz= jet.px, jet.py, jet.pz + theta_jet = (px == 0.0f0 && py == 0.0f0 && pz == 0.0f0) ? 0.0f0 : atan(sqrt(px^2 + py^2), pz) + phi_jet = (px == 0.0f0 && py == 0.0f0) ? 0.0f0 : atan(py, px) + + csts = jcs[i] + for jc in csts + p_const_x = jc.momentum.x + p_const_y = jc.momentum.y + p_const_z = jc.momentum.z + + # rotate z by -phi_jet, then rotate y by -theta_jet + # First rotate around z-axis by -phi_jet + p_rot_x = p_const_x * cos(-phi_jet) - p_const_y * sin(-phi_jet) + p_rot_y = p_const_x * sin(-phi_jet) + p_const_y * cos(-phi_jet) + p_rot_z = p_const_z + # Then rotate around y-axis by -theta_jet + p_rot2_x = p_rot_x * cos(-theta_jet) - p_rot_z * sin(-theta_jet) + p_rot2_z = p_rot_x * sin(-theta_jet) + p_rot_z * cos(-theta_jet) # Not needed. + p_rot2_y = p_rot_y + # Calculate phi in rotated frame + phi_rel = (p_rot2_x == 0.0f0 && p_rot2_y == 0.0f0) ? 0.0f0 : atan(p_rot2_y, p_rot2_x) + push!(jet_csts, phi_rel) + end + + push!(result, jet_csts) + end + + return result +end + +""" + get_thetaphirel_cluster(jets::Vector{EEJet}, + jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} + +Calculate relative theta and phi angles between constituent particles and clustered jet axis. + +# Arguments +- `jets::Vector{EEJet}`: Vector of clustered jets +- `jcs::Vector{JetConstituents}`: Vector of jet constituents corresponding to the jets + +# Returns +Tuple of Vectors containing relative theta and phi angle values for each constituent in the jets +""" +function get_thetaphirel_cluster(jets::Vector{EEJet}, + jcs::Vector{JetConstituents}) + result = Tuple{Vector{JetConstituentsData}, Vector{JetConstituentsData}}(Vector{JetConstituentsData}(), Vector{JetConstituentsData}()) + + for i in eachindex(jets) + theta_csts = Float32[] + phi_csts = Float32[] + + jet = jets[i] + px, py, pz= jet.px, jet.py, jet.pz + theta_jet = (px == 0.0f0 && py == 0.0f0 && pz == 0.0f0) ? 0.0f0 : atan(sqrt(px^2 + py^2), pz) + phi_jet = (px == 0.0f0 && py == 0.0f0) ? 0.0f0 : atan(py, px) + + csts = jcs[i] + for jc in csts + p_const_x = jc.momentum.x + p_const_y = jc.momentum.y + p_const_z = jc.momentum.z + + # rotate z by -phi_jet, then rotate y by -theta_jet + # First rotate around z-axis by -phi_jet + p_rot_x = p_const_x * cos(-phi_jet) - p_const_y * sin(-phi_jet) + p_rot_y = p_const_x * sin(-phi_jet) + p_const_y * cos(-phi_jet) + p_rot_z = p_const_z + # Then rotate around y-axis by -theta_jet + p_rot2_x = p_rot_x * cos(-theta_jet) - p_rot_z * sin(-theta_jet) + p_rot2_z = p_rot_x * sin(-theta_jet) + p_rot_z * cos(-theta_jet) # Not needed. + p_rot2_y = p_rot_y + # Calculate in rotated frame + theta_rel = (p_rot2_x == 0.0f0 && p_rot2_y == 0.0f0 && p_rot2_z == 0.0f0) ? 0.0f0 : atan(sqrt(p_rot2_x^2 + p_rot2_y^2), p_rot2_z) + phi_rel = (p_rot2_x == 0.0f0 && p_rot2_y == 0.0f0) ? 0.0f0 : atan(p_rot2_y, p_rot2_x) + push!(theta_csts, theta_rel) + push!(phi_csts, phi_rel) + end + + push!(result[1], theta_csts) + push!(result[2], phi_csts) + end + + return result +end \ No newline at end of file From ac7690be3a8eb7e3cf1113ded3c39c229d36daca Mon Sep 17 00:00:00 2001 From: Harry Date: Tue, 17 Jun 2025 09:23:31 -0400 Subject: [PATCH 16/47] finish optimizing relativistic functions. --- .../JetConstituent/JetConstituent6Rel.jl | 188 ++++++++++-------- 1 file changed, 105 insertions(+), 83 deletions(-) diff --git a/ext/JetFlavourTagging/JetConstituent/JetConstituent6Rel.jl b/ext/JetFlavourTagging/JetConstituent/JetConstituent6Rel.jl index f448c554..d961d653 100644 --- a/ext/JetFlavourTagging/JetConstituent/JetConstituent6Rel.jl +++ b/ext/JetFlavourTagging/JetConstituent/JetConstituent6Rel.jl @@ -110,37 +110,45 @@ Calculate relative theta angle between constituent particle and clustered jet ax Vector containing relative theta angle values for each constituent in the jets """ function get_thetarel_cluster(jets::Vector{EEJet}, - jcs::Vector{JetConstituents}) - result = Vector{JetConstituentsData}() + jcs::Vector{<:JetConstituents}) + n_jets = length(jets) + result = Vector{Vector{Float32}}(undef, n_jets) - for i in eachindex(jets) - jet_csts = Float32[] - + @inbounds for i in 1:n_jets jet = jets[i] px, py, pz = jet.px, jet.py, jet.pz - theta_jet = (px == 0.0f0 && py == 0.0f0 && pz == 0.0f0) ? 0.0f0 : atan(sqrt(px^2 + py^2), pz) - phi_jet = (px == 0.0f0 && py == 0.0f0) ? 0.0f0 : atan(py, px) - + + # Pre-compute jet angles + pt_jet = sqrt(px^2 + py^2) + theta_jet = atan(pt_jet, pz) + phi_jet = atan(py, px) + + # Pre-compute trig values using sincos + sin_phi, cos_phi = sincos(-phi_jet) + sin_theta, cos_theta = sincos(-theta_jet) + csts = jcs[i] - for jc in csts - p_const_x = jc.momentum.x - p_const_y = jc.momentum.y - p_const_z = jc.momentum.z - - # rotate z by -phi_jet, then rotate y by -theta_jet - # First rotate around z-axis by -phi_jet - p_rot_x = p_const_x * cos(-phi_jet) - p_const_y * sin(-phi_jet) - p_rot_y = p_const_x * sin(-phi_jet) + p_const_y * cos(-phi_jet) - p_rot_z = p_const_z - # Then rotate around y-axis by -theta_jet - p_rot2_x = p_rot_x * cos(-theta_jet) - p_rot_z * sin(-theta_jet) - p_rot2_z = p_rot_x * sin(-theta_jet) + p_rot_z * cos(-theta_jet) - p_rot2_y = p_rot_y - # Calculate theta in rotated frame - theta_rel = (p_rot2_x == 0.0f0 && p_rot2_y == 0.0f0 && p_rot2_z == 0.0f0) ? 0.0f0 : atan(sqrt(p_rot2_x^2 + p_rot2_y^2), p_rot2_z) - push!(jet_csts, theta_rel) + mom_x = csts.momentum.x + mom_y = csts.momentum.y + mom_z = csts.momentum.z + n_constituents = length(mom_x) + jet_csts = Vector{Float32}(undef, n_constituents) + + @turbo for j in 1:n_constituents + # First rotation + p_rot_x = mom_x[j] * cos_phi - mom_y[j] * sin_phi + p_rot_y = mom_x[j] * sin_phi + mom_y[j] * cos_phi + + # Second rotation + p_rot2_x = p_rot_x * cos_theta - mom_z[j] * sin_theta + p_rot2_z = p_rot_x * sin_theta + mom_z[j] * cos_theta + + pt_rot_sq = p_rot2_x^2 + p_rot_y^2 + pt_rot = sqrt(pt_rot_sq) + jet_csts[j] = atan(pt_rot, p_rot2_z) end - push!(result, jet_csts) + + result[i] = jet_csts end return result @@ -160,38 +168,43 @@ Calculate relative phi angle between constituent particle and clustered jet axis Vector containing relative phi angle values for each constituent in the jets """ function get_phirel_cluster(jets::Vector{EEJet}, - jcs::Vector{JetConstituents}) - result = Vector{JetConstituentsData}() + jcs::Vector{<:JetConstituents}) + n_jets = length(jets) + result = Vector{Vector{Float32}}(undef, n_jets) - for i in eachindex(jets) - jet_csts = Float32[] - + @inbounds for i in 1:n_jets jet = jets[i] - px, py, pz= jet.px, jet.py, jet.pz - theta_jet = (px == 0.0f0 && py == 0.0f0 && pz == 0.0f0) ? 0.0f0 : atan(sqrt(px^2 + py^2), pz) - phi_jet = (px == 0.0f0 && py == 0.0f0) ? 0.0f0 : atan(py, px) + px, py, pz = jet.px, jet.py, jet.pz + + # Pre-compute jet angles + pt_jet = sqrt(px^2 + py^2) + theta_jet = atan(pt_jet, pz) + phi_jet = atan(py, px) + + # Pre-compute trig values using sincos + sin_phi, cos_phi = sincos(-phi_jet) + sin_theta, cos_theta = sincos(-theta_jet) csts = jcs[i] - for jc in csts - p_const_x = jc.momentum.x - p_const_y = jc.momentum.y - p_const_z = jc.momentum.z - - # rotate z by -phi_jet, then rotate y by -theta_jet - # First rotate around z-axis by -phi_jet - p_rot_x = p_const_x * cos(-phi_jet) - p_const_y * sin(-phi_jet) - p_rot_y = p_const_x * sin(-phi_jet) + p_const_y * cos(-phi_jet) - p_rot_z = p_const_z - # Then rotate around y-axis by -theta_jet - p_rot2_x = p_rot_x * cos(-theta_jet) - p_rot_z * sin(-theta_jet) - p_rot2_z = p_rot_x * sin(-theta_jet) + p_rot_z * cos(-theta_jet) # Not needed. - p_rot2_y = p_rot_y + mom_x = csts.momentum.x + mom_y = csts.momentum.y + mom_z = csts.momentum.z + n_constituents = length(mom_x) + jet_csts = Vector{Float32}(undef, n_constituents) + + @turbo for j in 1:n_constituents + # First rotation around z-axis by -phi_jet + p_rot_x = mom_x[j] * cos_phi - mom_y[j] * sin_phi + p_rot_y = mom_x[j] * sin_phi + mom_y[j] * cos_phi + + # Second rotation around y-axis by -theta_jet + p_rot2_x = p_rot_x * cos_theta - mom_z[j] * sin_theta + # Calculate phi in rotated frame - phi_rel = (p_rot2_x == 0.0f0 && p_rot2_y == 0.0f0) ? 0.0f0 : atan(p_rot2_y, p_rot2_x) - push!(jet_csts, phi_rel) + jet_csts[j] = atan(p_rot_y, p_rot2_x) end - push!(result, jet_csts) + result[i] = jet_csts end return result @@ -210,44 +223,53 @@ Calculate relative theta and phi angles between constituent particles and cluste # Returns Tuple of Vectors containing relative theta and phi angle values for each constituent in the jets """ -function get_thetaphirel_cluster(jets::Vector{EEJet}, - jcs::Vector{JetConstituents}) - result = Tuple{Vector{JetConstituentsData}, Vector{JetConstituentsData}}(Vector{JetConstituentsData}(), Vector{JetConstituentsData}()) +function get_thetarel_phirel_cluster(jets::Vector{EEJet}, + jcs::Vector{<:JetConstituents}) + n_jets = length(jets) + theta_result = Vector{Vector{Float32}}(undef, n_jets) + phi_result = Vector{Vector{Float32}}(undef, n_jets) - for i in eachindex(jets) - theta_csts = Float32[] - phi_csts = Float32[] - + @inbounds for i in 1:n_jets jet = jets[i] - px, py, pz= jet.px, jet.py, jet.pz - theta_jet = (px == 0.0f0 && py == 0.0f0 && pz == 0.0f0) ? 0.0f0 : atan(sqrt(px^2 + py^2), pz) - phi_jet = (px == 0.0f0 && py == 0.0f0) ? 0.0f0 : atan(py, px) + px, py, pz = jet.px, jet.py, jet.pz + + # Pre-compute jet angles + pt_jet = sqrt(px^2 + py^2) + theta_jet = atan(pt_jet, pz) + phi_jet = atan(py, px) + + # Pre-compute trig values using sincos + sin_phi, cos_phi = sincos(-phi_jet) + sin_theta, cos_theta = sincos(-theta_jet) csts = jcs[i] - for jc in csts - p_const_x = jc.momentum.x - p_const_y = jc.momentum.y - p_const_z = jc.momentum.z - - # rotate z by -phi_jet, then rotate y by -theta_jet - # First rotate around z-axis by -phi_jet - p_rot_x = p_const_x * cos(-phi_jet) - p_const_y * sin(-phi_jet) - p_rot_y = p_const_x * sin(-phi_jet) + p_const_y * cos(-phi_jet) - p_rot_z = p_const_z - # Then rotate around y-axis by -theta_jet - p_rot2_x = p_rot_x * cos(-theta_jet) - p_rot_z * sin(-theta_jet) - p_rot2_z = p_rot_x * sin(-theta_jet) + p_rot_z * cos(-theta_jet) # Not needed. + mom_x = csts.momentum.x + mom_y = csts.momentum.y + mom_z = csts.momentum.z + n_constituents = length(mom_x) + + jet_theta = Vector{Float32}(undef, n_constituents) + jet_phi = Vector{Float32}(undef, n_constituents) + + @turbo for j in 1:n_constituents + # First rotation around z-axis by -phi_jet + p_rot_x = mom_x[j] * cos_phi - mom_y[j] * sin_phi + p_rot_y = mom_x[j] * sin_phi + mom_y[j] * cos_phi + + # Second rotation around y-axis by -theta_jet + p_rot2_x = p_rot_x * cos_theta - mom_z[j] * sin_theta + p_rot2_z = p_rot_x * sin_theta + mom_z[j] * cos_theta p_rot2_y = p_rot_y - # Calculate in rotated frame - theta_rel = (p_rot2_x == 0.0f0 && p_rot2_y == 0.0f0 && p_rot2_z == 0.0f0) ? 0.0f0 : atan(sqrt(p_rot2_x^2 + p_rot2_y^2), p_rot2_z) - phi_rel = (p_rot2_x == 0.0f0 && p_rot2_y == 0.0f0) ? 0.0f0 : atan(p_rot2_y, p_rot2_x) - push!(theta_csts, theta_rel) - push!(phi_csts, phi_rel) + + # Calculate both theta and phi in rotated frame + pt_rot = sqrt(p_rot2_x^2 + p_rot2_y^2) + jet_theta[j] = atan(pt_rot, p_rot2_z) + jet_phi[j] = atan(p_rot2_y, p_rot2_x) end - - push!(result[1], theta_csts) - push!(result[2], phi_csts) + + theta_result[i] = jet_theta + phi_result[i] = jet_phi end - return result + return (theta_result, phi_result) end \ No newline at end of file From 060a01a496d7f7af39a6f058e7805294cf7ab1b5 Mon Sep 17 00:00:00 2001 From: Harry Date: Tue, 17 Jun 2025 11:11:56 -0400 Subject: [PATCH 17/47] latest optimized --- .../JetConstituent/JetConstituent5PID.jl | 12 +- .../JetConstituent/JetConstituent6Rel.jl | 2 +- .../JetConstituent/JetConstituent7Special.jl | 180 +++++++- .../JetConstituent/JetConstituent8SIP.jl | 383 +++++++++++++++++- 4 files changed, 559 insertions(+), 18 deletions(-) diff --git a/ext/JetFlavourTagging/JetConstituent/JetConstituent5PID.jl b/ext/JetFlavourTagging/JetConstituent/JetConstituent5PID.jl index 3a6added..3d066c21 100644 --- a/ext/JetFlavourTagging/JetConstituent/JetConstituent5PID.jl +++ b/ext/JetFlavourTagging/JetConstituent/JetConstituent5PID.jl @@ -11,7 +11,7 @@ using StructArrays: StructVector # get_isNeutralHad - Check if constituent is neutral hadron """ - get_isMu(jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} + get_isMu(jcs::Vector{<:JetConstituents}) -> Vector{JetConstituentsData} Check if each constituent particle is a muon. @@ -46,7 +46,7 @@ function get_isMu(jcs::Vector{<:JetConstituents}) end """ - get_isEl(jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} + get_isEl(jcs::Vector{<:JetConstituents}) -> Vector{JetConstituentsData} Check if each constituent particle is an electron. @@ -82,7 +82,7 @@ function get_isEl(jcs::Vector{<:JetConstituents}) end """ - get_isChargedHad(jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} + get_isChargedHad(jcs::Vector{<:JetConstituents}) -> Vector{JetConstituentsData} Check if each constituent particle is a charged hadron. @@ -92,7 +92,7 @@ Check if each constituent particle is a charged hadron. # Returns Vector of vectors of is charged hadron boolean values as Float32. """ -function get_isChargedHad(jcs::Vector{JetConstituents}) +function get_isChargedHad(jcs::Vector{<:JetConstituents}) n_jets = length(jcs) result = Vector{Vector{Float32}}(undef, n_jets) @@ -117,7 +117,7 @@ function get_isChargedHad(jcs::Vector{JetConstituents}) end """ - get_isGamma(jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} + get_isGamma(jcs::Vector{<:JetConstituents}) -> Vector{JetConstituentsData} Check if each constituent particle is a photon (gamma) (PDG 22). @@ -149,7 +149,7 @@ function get_isGamma(jcs::Vector{<:JetConstituents}) end """ - get_isNeutralHad(jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} + get_isNeutralHad(jcs::Vector{<:JetConstituents}) -> Vector{JetConstituentsData} Check if each constituent particle is a neutral hadron (PDG 130). diff --git a/ext/JetFlavourTagging/JetConstituent/JetConstituent6Rel.jl b/ext/JetFlavourTagging/JetConstituent/JetConstituent6Rel.jl index d961d653..3d04e5a8 100644 --- a/ext/JetFlavourTagging/JetConstituent/JetConstituent6Rel.jl +++ b/ext/JetFlavourTagging/JetConstituent/JetConstituent6Rel.jl @@ -3,7 +3,7 @@ using JetReconstruction using LoopVectorization using StructArrays: StructVector -### Relative Kinematics (4) +### Relative Kinematics (5) # get_erel_cluster - Relative energy for clustered jets # get_erel_log_cluster - Log of relative energy for clustered jets diff --git a/ext/JetFlavourTagging/JetConstituent/JetConstituent7Special.jl b/ext/JetFlavourTagging/JetConstituent/JetConstituent7Special.jl index 0915b705..565a50d2 100644 --- a/ext/JetFlavourTagging/JetConstituent/JetConstituent7Special.jl +++ b/ext/JetFlavourTagging/JetConstituent/JetConstituent7Special.jl @@ -2,7 +2,185 @@ using EDM4hep using JetReconstruction using StructArrays: StructVector +const C_LIGHT = 2.99792458e8 +const C_LIGHT_INV = 1.0f0 / C_LIGHT +const ELECTRON_MASS = 0.000510999f0 +const MUON_MASS = 0.105658f0 +const PION_MASS = 0.13957039f0 +const ELECTRON_TOLERANCE = 1.0f-5 +const MUON_TOLERANCE = 1.0f-3 + ### Special Measurements (2) # get_dndx - dE/dx measurement (energy loss) -# get_mtof - Mass from time-of-flight measurement \ No newline at end of file +# get_mtof - Mass from time-of-flight measurement + +""" + get_dndx(jcs::Vector{JetConstituents}, + dNdx::StructVector{EDM4hep.Quantity}, + trackdata::StructVector{EDM4hep.Track}, + JetsConstituents_isChargedHad::Vector{JetConstituentsData}) -> Vector{JetConstituentsData} + +Calculate dE/dx or dN/dx for each charged hadron in jets. Neutrals, muons, and electrons are set to 0. +Only charged hadrons have valid dN/dx values. + +# Arguments +- jcs: Vector of jet constituents (each element contains particles for one jet) +- dNdx: StructVector of Quantity objects containing dN/dx measurements (EFlowTrack_2) +- trackdata: StructVector of Track objects (EFlowTrack) +- JetsConstituents_isChargedHad: Vector of vectors indicating which particles are charged hadrons + +# Returns +Vector of vectors of dN/dx values (one vector per jet, one value per constituent) +""" +function get_dndx(jcs::Vector{<:JetConstituents}, + dNdx::StructVector{EDM4hep.Quantity}, + trackdata::StructVector{EDM4hep.Track}, + JetsConstituents_isChargedHad::Vector{Vector{Float32}}) + + n_jets = length(jcs) + result = Vector{Vector{Float32}}(undef, n_jets) + tracks_len = length(trackdata) + + @inbounds for i in 1:n_jets + jet = jcs[i] + tracks_first = jet.tracks + isChargedHad = JetsConstituents_isChargedHad[i] + n_constituents = length(jet) + tmp = Vector{Float32}(undef, n_constituents) + + @simd ivdep for j in 1:n_constituents + has_valid_track = tracks_first[j].first + 1 <= tracks_len + is_charged_had = isChargedHad[j] == 1.0f0 + tmp[j] = ifelse(has_valid_track & is_charged_had, -1.0f0, 0.0f0) + end + + result[i] = tmp + end + + return result +end + +function get_mtof(jcs::Vector{<:JetConstituents}, + track_L::AbstractArray{T} where T <: Float32, + trackdata::StructVector{EDM4hep.Track}, + trackerhits::StructVector{EDM4hep.TrackerHit}, + gammadata::StructVector{EDM4hep.Cluster}, + nhdata::StructVector{EDM4hep.Cluster}, + calohits::StructVector{EDM4hep.CalorimeterHit}, + V::LorentzVector) + + n_jets = length(jcs) + result = Vector{Vector{Float32}}(undef, n_jets) + + # Pre-compute limits + tracks_len = length(trackdata) + gamma_len = length(gammadata) + nh_len = length(nhdata) + cluster_limit = nh_len + gamma_len + + # Pre-compute vertex values + vx, vy, vz = V.x, V.y, V.z + v_t_scaled = V.t * 1.0f-3 * C_LIGHT_INV # Tin calculation + + @inbounds for i in 1:n_jets + jc = jcs[i] + n_constituents = length(jc) + + # Pre-allocate for this jet + tmp = Vector{Float32}(undef, n_constituents) + result_idx = 0 + + # Access fields once + clusters_first = jc.clusters + tracks_first = jc.tracks + types = jc.type + charges = jc.charge + masses = jc.mass + energies = jc.energy + mom_x = jc.momentum.x + mom_y = jc.momentum.y + mom_z = jc.momentum.z + + for j in 1:n_constituents + cluster_idx = clusters_first[j].first + track_idx = tracks_first[j].first + particle_type = types[j] + + mass_calculated = -1.0f0 # Invalid marker + + # Handle cluster-based particles + if cluster_idx < cluster_limit + if particle_type == 130 # Neutral hadron + nh_idx = cluster_idx + 1 - gamma_len + hit_idx = nhdata[nh_idx].hits.first + 1 + + # Get hit data + hit = calohits[hit_idx] + tof = hit.time + + # Calculate distance + dx = hit.position.x - vx + dy = hit.position.y - vy + dz = hit.position.z - vz + L = sqrt(dx^2 + dy^2 + dz^2) * 0.001f0 + + beta = L / (tof * C_LIGHT) + + if 0.0f0 < beta < 1.0f0 + E = energies[j] + mass_calculated = E * sqrt(1.0f0 - beta^2) + else + mass_calculated = 9.0f0 # Invalid measurement + end + + elseif particle_type == 22 # Photon + mass_calculated = 0.0f0 + end + end + + # Handle track-based particles (only if not already calculated) + if mass_calculated < 0.0f0 && track_idx < tracks_len + charge = charges[j] + if abs(charge) > 0.0f0 + mass = masses[j] + + # Check for known particles + if abs(mass - ELECTRON_MASS) < ELECTRON_TOLERANCE + mass_calculated = ELECTRON_MASS + elseif abs(mass - MUON_MASS) < MUON_TOLERANCE + mass_calculated = MUON_MASS + else + # Calculate from time of flight + track = trackdata[track_idx + 1] + last_hit_idx = track.trackerHits.last + Tout = trackerhits[last_hit_idx].time + tof = Tout - v_t_scaled + + L = track_L[track_idx + 1] * 0.001f0 + beta = L / (tof * C_LIGHT) + + if 0.0f0 < beta < 1.0f0 + # Calculate momentum magnitude + p = sqrt(mom_x[j]^2 + mom_y[j]^2 + mom_z[j]^2) + mass_calculated = p * sqrt(1.0f0 / (beta^2) - 1.0f0) + else + mass_calculated = PION_MASS # Default + end + end + end + end + + # Store result if we calculated a mass + if mass_calculated >= 0.0f0 + result_idx += 1 + tmp[result_idx] = mass_calculated + end + end + + # Resize to actual number of particles with calculated mass + result[i] = resize!(tmp, result_idx) + end + + return result +end \ No newline at end of file diff --git a/ext/JetFlavourTagging/JetConstituent/JetConstituent8SIP.jl b/ext/JetFlavourTagging/JetConstituent/JetConstituent8SIP.jl index 6242cb86..52d67a4b 100644 --- a/ext/JetFlavourTagging/JetConstituent/JetConstituent8SIP.jl +++ b/ext/JetFlavourTagging/JetConstituent/JetConstituent8SIP.jl @@ -5,19 +5,382 @@ using StructArrays: StructVector ### Impact Parameters and Jet Distance (12) ## 2D Impact Parameter -# get_Sip2dVal - 2D signed impact parameter value -# get_Sip2dVal_cluster - For clustered jets -# get_Sip2dVal_clusterV - Vectorized version +# get_Sip2dVal_clusterV - Vectorized version 2D signed impact parameter value for clustered jets # get_Sip2dSig - 2D impact parameter significance # 3D Impact Parameter -# get_Sip3dVal - 3D signed impact parameter value -# get_Sip3dVal_cluster - For clustered jets -# get_Sip3dVal_clusterV - Vectorized version +# get_Sip3dVal_clusterV - Vectorized version 3D signed impact parameter value for clustered jets # get_Sip3dSig - 3D impact parameter significance # Jet Distance -# get_JetDistVal - Jet distance value -# get_JetDistVal_cluster - For clustered jets -# get_JetDistVal_clusterV - Vectorized version -# get_JetDistSig - Jet distance significance \ No newline at end of file +# get_JetDistVal_clusterV - Vectorized version jet distance value for clustered jets +# get_JetDistSig - Jet distance significance + +""" + get_Sip2dVal_clusterV(jets::Vector{JetReconstruction.EEJet}, + D0::Vector{JetConstituentsData}, + phi0::Vector{JetConstituentsData}, + Bz::Float32) -> Vector{JetConstituentsData} + +Calculate the 2D signed impact parameter value for each particle relative to the jet axis. +This is a Julia implementation of the C++ function get_Sip2dVal_clusterV. + +# Arguments +- jets: Vector of EEJet objects representing jets +- D0: Vector of vectors containing D0 values (transverse impact parameters) +- phi0: Vector of vectors containing phi0 values (azimuthal angles at impact point) +- Bz: The magnetic field in Tesla + +# Returns +Vector of vectors of 2D signed impact parameter values (one vector per jet) +""" +function get_Sip2dVal_clusterV(jets::Vector{JetReconstruction.EEJet}, + D0::Vector{JetConstituentsData}, + phi0::Vector{JetConstituentsData}, + Bz::Float32) + n_jets = length(jets) + result = Vector{JetConstituentsData}(undef, n_jets) + + @inbounds for i in 1:n_jets + px = Float32(jets[i].px) + py = Float32(jets[i].py) + d0_vals = D0[i] + phi_vals = phi0[i] + n_constituents = length(d0_vals) + + sip2d_values = Vector{Float32}(undef, n_constituents) + + @turbo for j in 1:n_constituents + d0_val = d0_vals[j] + phi_val = phi_vals[j] + + sin_phi, cos_phi = sincos(phi_val) + + d0x = -d0_val * sin_phi + d0y = d0_val * cos_phi + + dot_product = d0x * px + d0y * py + + abs_d0 = abs(d0_val) + sign_dot = sign(dot_product) + signed_ip = sign_dot * abs_d0 + + is_valid = Float32(d0_val != -9.0f0) + sip2d_values[j] = is_valid * signed_ip + (1.0f0 - is_valid) * (-9.0f0) + end + + result[i] = sip2d_values + end + + return result +end + + +""" + get_btagSip2dVal(jets::Vector{JetReconstruction.EEJet}, + pfcand_dxy::Vector{JetConstituentsData}, + pfcand_phi0::Vector{JetConstituentsData}, + Bz::Float32) -> Vector{JetConstituentsData} + +Call the implementation function get_Sip2dVal_clusterV +""" +function get_btagSip2dVal(jets::Vector{JetReconstruction.EEJet}, + pfcand_dxy::Vector{JetConstituentsData}, + pfcand_phi0::Vector{JetConstituentsData}, + Bz::Float32) + # Simply call the implementation function + return get_Sip2dVal_clusterV(jets, pfcand_dxy, pfcand_phi0, Bz) +end + +""" + get_Sip2dSig(Sip2dVals::Vector{JetConstituentsData}, + err2_D0::Vector{JetConstituentsData}) -> Vector{JetConstituentsData} + +Calculate the 2D signed impact parameter significance for each particle. +This is a Julia implementation of the C++ function get_Sip2dSig. + +# Arguments +- Sip2dVals: Vector of vectors containing 2D signed impact parameter values +- err2_D0: Vector of vectors containing squared errors of the D0 values + +# Returns +Vector of vectors of 2D signed impact parameter significances (one vector per jet) +""" +function get_Sip2dSig(Sip2dVals::Vector{JetConstituentsData}, + err2_D0::Vector{JetConstituentsData}) + n_jets = length(Sip2dVals) + result = Vector{JetConstituentsData}(undef, n_jets) + + @inbounds for i in 1:n_jets + n_constituents = length(Sip2dVals[i]) + sig_values = Vector{Float32}(undef, n_constituents) + sip_vals = Sip2dVals[i] + err_vals = err2_D0[i] + + @simd for j in 1:n_constituents + err_val = err_vals[j] + sip_val = sip_vals[j] + + valid = err_val > 0.0f0 + sqrt_err = sqrt(max(err_val, eps(Float32))) # Avoid sqrt of negative + sig = sip_val / sqrt_err + + sig_values[j] = valid ? sig : -9.0f0 + end + + result[i] = sig_values + end + + return result +end + +""" + get_btagSip2dSig(pfcand_btagSip2dVal::Vector{JetConstituentsData}, + pfcand_dxydxy::Vector{JetConstituentsData}) -> Vector{JetConstituentsData} + +Call the implementation function get_Sip2dSig +""" +function get_btagSip2dSig(pfcand_btagSip2dVal::Vector{JetConstituentsData}, + pfcand_dxydxy::Vector{JetConstituentsData}) + # Simply call the implementation function + return get_Sip2dSig(pfcand_btagSip2dVal, pfcand_dxydxy) +end + +""" + get_Sip3dVal_clusterV(jets::Vector{JetReconstruction.EEJet}, + D0::Vector{JetConstituentsData}, + Z0::Vector{JetConstituentsData}, + phi0::Vector{JetConstituentsData}, + Bz::Float32) -> Vector{JetConstituentsData} + +Calculate the 3D signed impact parameter value for each particle relative to the jet axis. +""" +function get_Sip3dVal_clusterV(jets::Vector{JetReconstruction.EEJet}, + D0::Vector{JetConstituentsData}, + Z0::Vector{JetConstituentsData}, + phi0::Vector{JetConstituentsData}, + Bz::Float32) + n_jets = length(jets) + result = Vector{JetConstituentsData}(undef, n_jets) + + @inbounds for i in 1:n_jets + px = Float32(jets[i].px) + py = Float32(jets[i].py) + pz = Float32(jets[i].pz) + d0_vals = D0[i] + z0_vals = Z0[i] + phi_vals = phi0[i] + n_constituents = length(d0_vals) + + cprojs = Vector{Float32}(undef, n_constituents) + + @turbo for j in 1:n_constituents + d0_val = d0_vals[j] + z0_val = z0_vals[j] + phi_val = phi_vals[j] + + sin_phi = sin(phi_val) + cos_phi = cos(phi_val) + + dx = -d0_val * sin_phi + dy = d0_val * cos_phi + dz = z0_val + + dot_prod = dx * px + dy * py + dz * pz + + magnitude = sqrt(d0_val * d0_val + z0_val * z0_val) + sign_dot = sign(dot_prod) + signed_ip = sign_dot * magnitude + + is_valid = Float32(d0_val != -9.0f0) + cprojs[j] = is_valid * signed_ip + (1.0f0 - is_valid) * (-9.0f0) + end + + result[i] = cprojs + end + + return result +end + +function get_btagSip3dVal(jets::Vector{JetReconstruction.EEJet}, + pfcand_dxy::Vector{JetConstituentsData}, + pfcand_dz::Vector{JetConstituentsData}, + pfcand_phi0::Vector{JetConstituentsData}, + Bz::Float32) +# Simply call the implementation function + return get_Sip3dVal_clusterV(jets, pfcand_dxy, pfcand_dz, pfcand_phi0, Bz) +end + +""" + get_Sip3dSig(Sip3dVals::Vector{JetConstituentsData}, + err2_D0::Vector{JetConstituentsData}, + err2_Z0::Vector{JetConstituentsData}) -> Vector{JetConstituentsData} + +Calculate the 3D signed impact parameter significance (value/error) for each particle. +""" +function get_Sip3dSig(Sip3dVals::Vector{JetConstituentsData}, + err2_D0::Vector{JetConstituentsData}, + err2_Z0::Vector{JetConstituentsData}) + n_jets = length(Sip3dVals) + result = Vector{JetConstituentsData}(undef, n_jets) + + @inbounds for i in 1:n_jets + n_constituents = length(Sip3dVals[i]) + sigs = Vector{Float32}(undef, n_constituents) + sip_vals = Sip3dVals[i] + err_d0 = err2_D0[i] + err_z0 = err2_Z0[i] + + @simd for j in 1:n_constituents + err_d0_val = err_d0[j] + err_z0_val = err_z0[j] + sip_val = sip_vals[j] + + # Branchless computation + valid = err_d0_val > 0.0f0 + err_sum = err_d0_val + err_z0_val + sqrt_err = sqrt(max(err_sum, eps(Float32))) + sig = sip_val / sqrt_err + + sigs[j] = valid ? sig : -9.0f0 + end + + result[i] = sigs + end + + return result +end + +function get_btagSip3dSig(Sip3dVals::Vector{JetConstituentsData}, + err2_D0::Vector{JetConstituentsData}, + err2_Z0::Vector{JetConstituentsData}) + # Simply call the implementation function + return get_Sip3dSig(Sip3dVals, err2_D0, err2_Z0) +end + +""" + get_JetDistVal_clusterV(jets::Vector{JetReconstruction.EEJet}, + jcs::Vector{<:JetConstituents}, + D0::Vector{JetConstituentsData}, + Z0::Vector{JetConstituentsData}, + phi0::Vector{JetConstituentsData}, + Bz::Float32) -> Vector{JetConstituentsData} + +Calculate the jet distance value for each particle, measuring the distance between +the point of closest approach and the jet axis. +""" +function get_JetDistVal_clusterV(jets::Vector{JetReconstruction.EEJet}, + jcs::Vector{<:JetConstituents}, + D0::Vector{JetConstituentsData}, + Z0::Vector{JetConstituentsData}, + phi0::Vector{JetConstituentsData}, + Bz::Float32) + n_jets = length(jets) + result = Vector{JetConstituentsData}(undef, n_jets) + + for i in 1:n_jets + px_jet, py_jet, pz_jet = jets[i].px, jets[i].py, jets[i].pz + ct = jcs[i] + n_constituents = length(ct) + tmp = Vector{Float32}(undef, n_constituents) + + for j in 1:n_constituents + if D0[i][j] != -9.0f0 + d0_val = D0[i][j] + z0_val = Z0[i][j] + + # Use sincos for efficiency + sin_phi, cos_phi = sincos(phi0[i][j]) + + # Impact parameter vector + dx = -d0_val * sin_phi + dy = d0_val * cos_phi + dz = z0_val + + # Constituent momentum + px_ct = ct[j].momentum.x + py_ct = ct[j].momentum.y + pz_ct = ct[j].momentum.z + + # Cross product: n = p_ct × p_jet + nx = py_ct * pz_jet - pz_ct * py_jet + ny = pz_ct * px_jet - px_ct * pz_jet + nz = px_ct * py_jet - py_ct * px_jet + + # Normalize + n_mag = sqrt(nx^2 + ny^2 + nz^2) + inv_n_mag = 1.0f0 / max(n_mag, eps(Float32)) + nx *= inv_n_mag + ny *= inv_n_mag + nz *= inv_n_mag + + # Distance (r_jet = [0,0,0], so we just need n·d) + tmp[j] = nx * dx + ny * dy + nz * dz + else + tmp[j] = -9.0f0 + end + end + + result[i] = tmp + end + + return result +end + +function get_btagJetDistVal(jets::Vector{JetReconstruction.EEJet}, + jcs::Vector{<:JetConstituents}, + D0::Vector{JetConstituentsData}, + Z0::Vector{JetConstituentsData}, + phi0::Vector{JetConstituentsData}, + Bz::Float32) + # Simply call the implementation function + return get_JetDistVal_clusterV(jets, jcs, D0, Z0, phi0, Bz) +end + + +""" + get_JetDistSig(JetDistVal::Vector{JetConstituentsData}, + err2_D0::Vector{JetConstituentsData}, + err2_Z0::Vector{JetConstituentsData}) -> Vector{JetConstituentsData} + +Calculate the jet distance significance (value/error) for each particle. +""" +function get_JetDistSig(JetDistVal::Vector{JetConstituentsData}, + err2_D0::Vector{JetConstituentsData}, + err2_Z0::Vector{JetConstituentsData}) + n_jets = length(JetDistVal) + result = Vector{JetConstituentsData}(undef, n_jets) + + @inbounds for i in 1:n_jets + n_constituents = length(JetDistVal[i]) + tmp = Vector{Float32}(undef, n_constituents) + jet_vals = JetDistVal[i] + err_d0 = err2_D0[i] + err_z0 = err2_Z0[i] + + @simd for j in 1:n_constituents + err_d0_val = err_d0[j] + err_z0_val = err_z0[j] + jet_val = jet_vals[j] + + # Branchless computation + valid = err_d0_val > 0.0f0 + err_sum = err_d0_val + err_z0_val + sqrt_err = sqrt(max(err_sum, eps(Float32))) + sig = jet_val / sqrt_err + + tmp[j] = valid ? sig : -9.0f0 + end + + result[i] = tmp + end + + return result +end + +function get_btagJetDistSig(JetDistVal::Vector{JetConstituentsData}, + err2_D0::Vector{JetConstituentsData}, + err2_Z0::Vector{JetConstituentsData}) + # Simply call the implementation function + return get_JetDistSig(JetDistVal, err2_D0, err2_Z0) +end From c564fb4d04cc91731f9f40436a7fdb80750fb42d Mon Sep 17 00:00:00 2001 From: Harry Date: Tue, 17 Jun 2025 11:19:58 -0400 Subject: [PATCH 18/47] Update JetConstUtils to most optimized. --- .../JetConstituent/JetConstituent10Residue.jl | 17 - .../JetConstituent2Kinematic.jl | 263 -- .../JetConstituent/JetConstituent3Track.jl | 345 --- .../JetConstituent/JetConstituent4Cov.jl | 615 ---- .../JetConstituent/JetConstituent5PID.jl | 181 -- .../JetConstituent/JetConstituent6Rel.jl | 275 -- .../JetConstituent/JetConstituent7Special.jl | 186 -- .../JetConstituent/JetConstituent8SIP.jl | 386 --- .../JetConstituent/JetConstituent9Count.jl | 9 - ext/JetFlavourTagging/JetConstituentUtils.jl | 2502 ++++++++++------- 10 files changed, 1458 insertions(+), 3321 deletions(-) delete mode 100644 ext/JetFlavourTagging/JetConstituent/JetConstituent10Residue.jl delete mode 100644 ext/JetFlavourTagging/JetConstituent/JetConstituent2Kinematic.jl delete mode 100644 ext/JetFlavourTagging/JetConstituent/JetConstituent3Track.jl delete mode 100644 ext/JetFlavourTagging/JetConstituent/JetConstituent4Cov.jl delete mode 100644 ext/JetFlavourTagging/JetConstituent/JetConstituent5PID.jl delete mode 100644 ext/JetFlavourTagging/JetConstituent/JetConstituent6Rel.jl delete mode 100644 ext/JetFlavourTagging/JetConstituent/JetConstituent7Special.jl delete mode 100644 ext/JetFlavourTagging/JetConstituent/JetConstituent8SIP.jl delete mode 100644 ext/JetFlavourTagging/JetConstituent/JetConstituent9Count.jl diff --git a/ext/JetFlavourTagging/JetConstituent/JetConstituent10Residue.jl b/ext/JetFlavourTagging/JetConstituent/JetConstituent10Residue.jl deleted file mode 100644 index d4bf0a7d..00000000 --- a/ext/JetFlavourTagging/JetConstituent/JetConstituent10Residue.jl +++ /dev/null @@ -1,17 +0,0 @@ -using EDM4hep -using JetReconstruction -using StructArrays: StructVector - -### Four-Vector Operations and Residuals (11) - -# compute_tlv_jets - Convert jets to TLorentzVector -# sum_tlv_constituents - Sum constituent four-vectors -# InvariantMass - Calculate invariant mass of two objects -# all_invariant_masses - All pairwise invariant masses -# compute_residue_energy - Energy difference (constituents - jet) -# compute_residue_pt - pT difference -# compute_residue_phi - φ difference -# compute_residue_theta - θ difference -# compute_residue_px - px difference -# compute_residue_py - py difference -# compute_residue_pz - pz difference \ No newline at end of file diff --git a/ext/JetFlavourTagging/JetConstituent/JetConstituent2Kinematic.jl b/ext/JetFlavourTagging/JetConstituent/JetConstituent2Kinematic.jl deleted file mode 100644 index da0d501e..00000000 --- a/ext/JetFlavourTagging/JetConstituent/JetConstituent2Kinematic.jl +++ /dev/null @@ -1,263 +0,0 @@ -using EDM4hep -using JetReconstruction -using StructArrays: StructVector - -### Basic Kinematic (11) - -# get_pt - Transverse momentum -# get_p - Total momentum -# get_e - Energy -# get_mass - Mass -# get_type - Particle type -# get_charge - Electric charge -# get_theta - Polar angle -# get_phi - Azimuthal angle -# get_y - Rapidity -# get_eta - Pseudorapidity -# get_Bz - Magnetic field component - -const JetConstituents = StructVector{ReconstructedParticle, <:Any} -const JetConstituentsData = Vector{Float32} - -""" - get_pt(jcs::Vector{<:JetConstituents}) -> Vector{JetConstituentsData} - -Get the transverse momentum of each particle in each jet. - -# Arguments -- jcs: Vector of jet constituents (each element contains particles for one jet) - -# Returns -A vector of vectors of transverse momentum values (sqrt(px^2 + py^2)) -""" -function get_pt(jcs::Vector{<:JetConstituents}) - return [begin - mom_x = jet_constituents.momentum.x - mom_y = jet_constituents.momentum.y - Float32[@inbounds sqrt(mom_x[i]^2 + mom_y[i]^2) - for i in eachindex(mom_x)] - end for jet_constituents in jcs] -end - -""" - get_p(jcs::Vector{<:JetConstituents}) -> Vector{JetConstituentsData} - -Get the momentum magnitude of each particle in each jet. - -# Arguments -- jcs: Vector of jet constituents - -# Returns -A vector of vectors of momentum magnitudes (sqrt(px^2 + py^2 + pz^2)) -""" -function get_p(jcs::Vector{<:JetConstituents}) - return [begin - mom_x = jet_constituents.momentum.x - mom_y = jet_constituents.momentum.y - mom_z = jet_constituents.momentum.z - Float32[@inbounds sqrt(mom_x[i]^2 + mom_y[i]^2 + mom_z[i]^2) - for i in eachindex(mom_x)] - end for jet_constituents in jcs] -end - -""" - get_e(jcs::Vector{<:JetConstituents}) -> Vector{JetConstituentsData} - -Get the energy of each particle in each jet. - -# Arguments -- jcs: Vector of jet constituents - -# Returns -A vector of vectors of energy values -""" -function get_e(jcs::Vector{JetConstituents}) - return [jet_constituents.energy for jet_constituents in jcs] -end - -""" - get_type(jcs::Vector{<:JetConstituents}) -> Vector{JetConstituentsData} - -Get the PDG type of each particle in each jet. - -# Arguments -- jcs: Vector of jet constituents - -# Returns -A vector of vectors of particle types (PDG codes/Particle IDs) -""" -function get_type(jcs::Vector{<:JetConstituents}) - return [jet_constituents.type for jet_constituents in jcs] -end - -""" - get_mass(jcs::Vector{<:JetConstituents}) -> Vector{JetConstituentsData} - -Get the mass of each particle in each jet. - -# Arguments -- jcs: Vector of jet constituents - -# Returns -A vector of vectors of mass values -""" -function get_mass(jcs::Vector{<:JetConstituents}) - return [jet_constituents.mass for jet_constituents in jcs] -end - -""" - get_charge(jcs::Vector{<:JetConstituents}) -> Vector{JetConstituentsData} - -Get the charge of each particle in each jet. - -# Arguments -- jcs: Vector of jet constituents - -# Returns -A vector of vectors of charge values -""" -function get_charge(jcs::Vector{<:JetConstituents}) - return [jet_constituents.charge for jet_constituents in jcs] -end - -""" - get_theta(jcs::Vector{<:JetConstituents}) -> Vector{JetConstituentsData} - -Get the polar angle of each particle in each jet. - -# Arguments -- jcs: Vector of jet constituents - -# Returns -A vector of vectors of polar angle values -""" -function get_theta(jcs::Vector{<:JetConstituents}) - return [begin - mom_x = jet_constituents.momentum.x - mom_y = jet_constituents.momentum.y - mom_z = jet_constituents.momentum.z - Float32[@inbounds( - let x = mom_x[i], y = mom_y[i], z = mom_z[i] - (x == 0.0f0 && y == 0.0f0 && z == 0.0f0) ? 0.0f0 : atan(sqrt(x^2 + y^2), z) - end - ) for i in eachindex(mom_x)] - end for jet_constituents in jcs] -end - -""" - get_phi(jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} - -Get the azimuthal angle of each particle in each jet. - -# Arguments -- jcs: Vector of jet constituents - -# Returns -A vector of vectors of azimuthal angle values -""" -function get_phi(jcs::Vector{<:JetConstituents}) - return [begin - mom_x = jet_constituents.momentum.x - mom_y = jet_constituents.momentum.y - Float32[@inbounds( - let x = mom_x[i], y = mom_y[i] - (x == 0.0f0 && y == 0.0f0) ? 0.0f0 : atan(y, x) - end - ) for i in eachindex(mom_x)] - end for jet_constituents in jcs] -end - -""" - get_y(jcs::Vector{<:JetConstituents}) -> Vector{JetConstituentsData} - -Get the rapidity of each particle in each jet. - -# Arguments -- jcs: Vector of jet constituents - -# Returns -A vector of vectors of rapidity values -""" -function get_y(jcs::Vector{<:JetConstituents}) - return [begin - energies = jet_constituents.energy - mom_z = jet_constituents.momentum.z - Float32[@inbounds( - let e = energies[i], pz = mom_z[i] - 0.5f0 * log((e + pz) / (e - pz)) - end - ) for i in eachindex(energies)] - end for jet_constituents in jcs] -end - -""" - get_eta(jcs::Vector{<:JetConstituents}) -> Vector{JetConstituentsData} - -Get the pseudorapidity of each particle in each jet. - -# Arguments -- jcs: Vector of jet constituents - -# Returns -A vector of vectors of pseudorapidity values (eta = -ln(tan(theta/2))) -""" -function get_eta(jcs::Vector{<:JetConstituents}) - return [begin - mom_x = jet_constituents.momentum.x - mom_y = jet_constituents.momentum.y - mom_z = jet_constituents.momentum.z - Float32[@inbounds( - let x = mom_x[i], y = mom_y[i], z = mom_z[i] - p = sqrt(x^2 + y^2 + z^2) - if p == 0.0f0 - 0.0f0 - elseif p == abs(z) # particle along beam axis - sign(z) * Inf32 - else - 0.5f0 * log((p + z) / (p - z)) - end - end - ) for i in eachindex(mom_x)] - end for jet_constituents in jcs] -end - -""" - get_Bz(jcs::Vector{<:JetConstituents}, - tracks::StructVector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} - -Calculate the magnetic field Bz for each particle based on track curvature and momentum. - -# Arguments -- jcs: Vector of jet constituents -- tracks: Vector of track states (used to get the omega value) - -# Returns -A vector of vectors of Bz values. -""" -function get_Bz(jcs::Vector{<:JetConstituents}, - tracks::StructVector{EDM4hep.TrackState}) - - a = 2.99792458e8 * 1e3 * 1e-15 - n_tracks = length(tracks) - - # If tracks is a StructVector, we can access omega column directly - omega_values = tracks.omega - - return [begin - mom_x = jet_constituents.momentum.x - mom_y = jet_constituents.momentum.y - charges = jet_constituents.charge - track_indices = jet_constituents.tracks - - Float32[@inbounds( - let track_idx = track_indices[i].first - if track_idx < n_tracks - pt = sqrt(mom_x[i]^2 + mom_y[i]^2) - omega_values[track_idx + 1] / a * pt * copysign(1.0f0, charges[i]) - else - -9.0f0 - end - end - ) for i in eachindex(mom_x)] - end for jet_constituents in jcs] -end \ No newline at end of file diff --git a/ext/JetFlavourTagging/JetConstituent/JetConstituent3Track.jl b/ext/JetFlavourTagging/JetConstituent/JetConstituent3Track.jl deleted file mode 100644 index 7212b1ce..00000000 --- a/ext/JetFlavourTagging/JetConstituent/JetConstituent3Track.jl +++ /dev/null @@ -1,345 +0,0 @@ -using EDM4hep -using JetReconstruction -using StructArrays: StructVector - -const JetConstituents = StructVector{ReconstructedParticle, <:Any} -const JetConstituentsData = Vector{Float32} - -### Track Related Functions (5) - -## Track Parameter Transformations (XPtoPar) -# XPtoPar_dxy - Transformed transverse impact parameter -# XPtoPar_dz - Transformed longitudinal impact parameter -# XPtoPar_phi - Transformed azimuthal angle -# XPtoPar_C - Track curvature parameter -# XPtoPar_ct - c×tau parameter - -""" - get_dxy(jcs::Vector{JetConstituents}, - tracks::StructVector{EDM4hep.TrackState}, - V::LorentzVector, Bz::Float32) -> Vector{JetConstituentsData} - -Calculate the transverse impact parameter dxy for each particle in each jet relative to vertex V. -Reference: FCCAnalyses c++ function XPtoPar_dxy, adapted for jet constituents. - -# Arguments -- jcs: Vector of jet constituents -- tracks: StructVector of TrackState objects -- V: LorentzVector representing the primary vertex -- Bz: The magnetic field in Tesla - -# Returns -Vector of vectors of dxy values (one vector per jet) -""" -function get_dxy(jcs::Vector{<:JetConstituents}, - tracks::StructVector{EDM4hep.TrackState}, - V::LorentzVector, Bz::Float32) - - cSpeed_Bz = 2.99792458e8 * 1.0f-9 * Bz - n_tracks = length(tracks) - - Vx, Vy = Float32(V.x), Float32(V.y) - - D0_values = tracks.D0 - phi_values = tracks.phi - - return [begin - mom_x = jet_constituents.momentum.x - mom_y = jet_constituents.momentum.y - charges = jet_constituents.charge - track_indices = jet_constituents.tracks - - Float32[@inbounds( - let track_idx = track_indices[i].first - if track_idx < n_tracks - idx = track_idx + 1 - D0 = D0_values[idx] - phi0 = phi_values[idx] - - sin_phi, cos_phi = sincos(phi0) - x1 = -D0 * sin_phi - Vx - x2 = D0 * cos_phi - Vy - - px = mom_x[i] - py = mom_y[i] - - a = -charges[i] * cSpeed_Bz - pt = sqrt(px^2 + py^2) - r2 = x1^2 + x2^2 - cross = x1 * py - x2 * px - - # Compute impact parameter - discriminant = pt^2 - 2 * a * cross + a^2 * r2 - if discriminant > 0 - T = sqrt(discriminant) - if pt < 10.0f0 - (T - pt) / a - else - (-2 * cross + a * r2) / (T + pt) - end - else - -9.0f0 - end - else - -9.0f0 - end - end - ) for i in eachindex(mom_x)] - end for jet_constituents in jcs] -end - - -""" - get_dz(jcs::Vector{JetConstituents}, - tracks::StructVector{EDM4hep.TrackState}, - V::LorentzVector, Bz::Float32) -> Vector{JetConstituentsData} - -Calculate the longitudinal impact parameter dz for each particle in each jet relative to vertex V. -Reference: FCCAnalyses c++ function XPtoPar_dz, adapted for jet constituents. - -# Arguments -- jcs: Vector of jet constituents -- tracks: StructVector of TrackState objects -- V: LorentzVector representing the primary vertex -- Bz: The magnetic field in Tesla - -# Returns -Vector of vectors of dz values (one vector per jet) -""" -function get_dz(jcs::Vector{<:JetConstituents}, - tracks::StructVector{EDM4hep.TrackState}, - V::LorentzVector, Bz::Float32) - - cSpeed_Bz = 2.99792458e8 * 1.0f-9 * Bz - n_tracks = length(tracks) - - Vx, Vy, Vz = Float32(V.x), Float32(V.y), Float32(V.z) - - D0_values = tracks.D0 - Z0_values = tracks.Z0 - phi_values = tracks.phi - - return [begin - mom_x = jet_constituents.momentum.x - mom_y = jet_constituents.momentum.y - mom_z = jet_constituents.momentum.z - charges = jet_constituents.charge - track_indices = jet_constituents.tracks - - Float32[@inbounds( - let track_idx = track_indices[i].first - if track_idx < n_tracks - idx = track_idx + 1 - D0 = D0_values[idx] - Z0 = Z0_values[idx] - phi0 = phi_values[idx] - - sin_phi, cos_phi = sincos(phi0) - - x1 = -D0 * sin_phi - Vx - x2 = D0 * cos_phi - Vy - x3 = Z0 - Vz - - px = mom_x[i] - py = mom_y[i] - pz = mom_z[i] - - # Compute intermediate values - a = -charges[i] * cSpeed_Bz - pt = sqrt(px^2 + py^2) - C = a / (2 * pt) - r2 = x1^2 + x2^2 - cross = x1 * py - x2 * px - T = sqrt(pt^2 - 2 * a * cross + a^2 * r2) - - D = if pt < 10.0f0 - (T - pt) / a - else - (-2 * cross + a * r2) / (T + pt) - end - - B_arg = max(r2 - D^2, 0.0f0) / (1 + 2 * C * D) - B = C * sqrt(B_arg) - if abs(B) > 1.0f0 - B = sign(B) - end - - # Calculate st and ct - st = asin(B) / C - ct = pz / pt - - # Calculate z0 - dot = x1 * px + x2 * py - if dot > 0.0f0 - x3 - ct * st - else - x3 + ct * st - end - else - -9.0f0 - end - end - ) for i in eachindex(mom_x)] - end for jet_constituents in jcs] -end - -""" - get_phi0(jcs::Vector{JetConstituents}, - tracks::StructVector{EDM4hep.TrackState}, - V::LorentzVector, Bz::Float32) -> Vector{JetConstituentsData} - -Calculate the phi angle at the point of closest approach for each particle relative to vertex V. -This is a Julia implementation of the C++ function XPtoPar_phi. - -# Arguments -- jcs: Vector of jet constituents -- tracks: StructVector of TrackState objects -- V: LorentzVector representing the primary vertex -- Bz: The magnetic field in Tesla - -# Returns -Vector of vectors of phi values (one vector per jet) -""" -function get_phi0(jcs::Vector{<:JetConstituents}, - tracks::StructVector{EDM4hep.TrackState}, - V::LorentzVector, Bz::Float32) - - cSpeed_Bz = 2.99792458e8 * 1.0f-9 * Bz - n_tracks = length(tracks) - - Vx, Vy = Float32(V.x), Float32(V.y) - - D0_values = tracks.D0 - phi_values = tracks.phi - - return [begin - mom_x = jet_constituents.momentum.x - mom_y = jet_constituents.momentum.y - charges = jet_constituents.charge - track_indices = jet_constituents.tracks - - Float32[@inbounds( - let track_idx = track_indices[i].first - if track_idx < n_tracks - idx = track_idx + 1 - D0 = D0_values[idx] - phi0_track = phi_values[idx] - - sin_phi, cos_phi = sincos(phi0_track) - - x1 = -D0 * sin_phi - Vx - x2 = D0 * cos_phi - Vy - - px = mom_x[i] - py = mom_y[i] - - a = -charges[i] * cSpeed_Bz - - # Minimize redundant calculations - pt2 = px^2 + py^2 - r2 = x1^2 + x2^2 - cross = x1 * py - x2 * px - two_a_cross = 2 * a * cross - a2_r2 = a^2 * r2 - - T = sqrt(pt2 - two_a_cross + a2_r2) - inv_T = 1.0f0 / T - - a_x1 = a * x1 - a_x2 = a * x2 - atan((py - a_x1) * inv_T, (px + a_x2) * inv_T) - else - -9.0f0 - end - end - ) for i in eachindex(mom_x)] - end for jet_constituents in jcs] -end - -""" - get_c(jcs::Vector{JetConstituents}, - tracks::StructVector{EDM4hep.TrackState}, - Bz::Float32) -> Vector{JetConstituentsData} - -Calculate the track curvature for each particle in each jet. -Reference: FCCAnalyses c++ function XPtoPar_C, adapted for jet constituents. - -# Arguments -- jcs: Vector of jet constituents -- tracks: StructVector of TrackState objects -- Bz: The magnetic field in Tesla - -# Returns -Vector of vectors of C values (one vector per jet) -""" -function get_c(jcs::Vector{<:JetConstituents}, - tracks::StructVector{EDM4hep.TrackState}, - Bz::Float32) - - cSpeed_Bz_half = 2.99792458e8 * 1.0f3 * 1.0f-15 * Bz * 0.5f0 - n_tracks = length(tracks) - - return [begin - mom_x = jet_constituents.momentum.x - mom_y = jet_constituents.momentum.y - charges = jet_constituents.charge - track_indices = jet_constituents.tracks - - Float32[@inbounds( - let track_idx = track_indices[i].first - if track_idx < n_tracks - px = mom_x[i] - py = mom_y[i] - inv_pt = 1.0f0 / sqrt(px^2 + py^2) - copysign(cSpeed_Bz_half * inv_pt, charges[i]) - else - -9.0f0 - end - end - ) for i in eachindex(mom_x)] - end for jet_constituents in jcs] -end - -""" - get_ct(jcs::Vector{JetConstituents}, - tracks::StructVector{EDM4hep.TrackState}, - Bz::Float32) -> Vector{JetConstituentsData} - -Calculate the c*tau for each particle in each jet. -Reference: FCCAnalyses c++ function XPtoPar_ct, adapted for jet constituents. - -# Arguments -- jcs: Vector of jet constituents -- tracks: StructVector of TrackState objects -- Bz: The magnetic field in Tesla - -# Returns -Vector of vectors of ct values (one vector per jet) -""" -function get_ct(jcs::Vector{<:JetConstituents}, - tracks::StructVector{EDM4hep.TrackState}, - Bz::Float32) - - n_tracks = length(tracks) - - return [begin - mom_x = jet_constituents.momentum.x - mom_y = jet_constituents.momentum.y - mom_z = jet_constituents.momentum.z - track_indices = jet_constituents.tracks - - Float32[@inbounds( - let track_idx = track_indices[i].first - if track_idx < n_tracks - px = mom_x[i] - py = mom_y[i] - pz = mom_z[i] - pt = sqrt(px^2 + py^2) - pz / pt - else - -9.0f0 - end - end - ) for i in eachindex(mom_x)] - end for jet_constituents in jcs] -end \ No newline at end of file diff --git a/ext/JetFlavourTagging/JetConstituent/JetConstituent4Cov.jl b/ext/JetFlavourTagging/JetConstituent/JetConstituent4Cov.jl deleted file mode 100644 index 621a0758..00000000 --- a/ext/JetFlavourTagging/JetConstituent/JetConstituent4Cov.jl +++ /dev/null @@ -1,615 +0,0 @@ -using EDM4hep -using JetReconstruction -using StructArrays: StructVector - -### Covariance Matrix Elements (15) - -## Diagonal Elements -# get_omega_cov - Omega variance -# get_d0_cov - d0 variance -# get_z0_cov - z0 variance -# get_phi0_cov - phi0 variance -# get_tanlambda_cov - tanLambda variance - -## Off-diagonal Elements -# get_d0_z0_cov -# get_phi0_d0_cov -# get_phi0_z0_cov -# get_tanlambda_phi0_cov -# get_tanlambda_d0_cov -# get_tanlambda_z0_cov -# get_omega_tanlambda_cov -# get_omega_phi0_cov -# get_omega_d0_cov -# get_omega_z0_cov - -""" - get_dxydxy(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} - -Get the d0 covariance (dxy/dxy) for each particle. - -# Arguments -- jcs: Vector of jet constituents -- tracks: StructVector of TrackState objects - -# Returns -Vector of vectors of dxydxy values -""" -function get_dxydxy(jcs::Vector{<:JetConstituents}, - tracks::StructVector{EDM4hep.TrackState}) - - n_jets = length(jcs) - n_tracks = length(tracks) - result = Vector{JetConstituentsData}(undef, n_jets) - - @inbounds for j in 1:n_jets - jet_constituents = jcs[j] - track_indices = jet_constituents.tracks - n_particles = length(track_indices) - - jet_result = Vector{Float32}(undef, n_particles) - - @simd ivdep for i in 1:n_particles - track_idx = track_indices[i].first - jet_result[i] = ifelse(track_idx < n_tracks, - tracks[track_idx + 1].covMatrix[1], - -9.0f0) - end - - result[j] = jet_result - end - - return result -end - -""" - get_dphidxy(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} - -Get the phi0-d0 covariance (dphi/dxy) for each particle. - -# Arguments -- jcs: Vector of jet constituents -- tracks: StructVector of TrackState objects - -# Returns -Vector of vectors of dphidxy values -""" -function get_dphidxy(jcs::Vector{<:JetConstituents}, - tracks::StructVector{EDM4hep.TrackState}) - - n_jets = length(jcs) - n_tracks = length(tracks) - result = Vector{JetConstituentsData}(undef, n_jets) - - @inbounds for j in 1:n_jets - jet_constituents = jcs[j] - track_indices = jet_constituents.tracks - n_particles = length(track_indices) - - jet_result = Vector{Float32}(undef, n_particles) - - @simd ivdep for i in 1:n_particles - track_idx = track_indices[i].first - jet_result[i] = ifelse(track_idx < n_tracks, - tracks[track_idx + 1].covMatrix[2], - -9.0f0) - end - - result[j] = jet_result - end - - return result -end - -""" - get_dphidphi(jcs::Vector{JetConstituents}, - tracks::StructVector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} - -Get the phi covariance (dphi/dphi) for each particle in each jet from its associated track. -Reference: FCCAnalyses c++ function get_phi0_cov, adapted for jet constituents. - -# Arguments -- jcs: Vector of jet constituents -- tracks: StructVector of TrackState objects - -# Returns -Vector of vectors of dphidphi values -""" -function get_dphidphi(jcs::Vector{<:JetConstituents}, - tracks::StructVector{EDM4hep.TrackState}) - - n_jets = length(jcs) - n_tracks = length(tracks) - result = Vector{JetConstituentsData}(undef, n_jets) - - @inbounds for j in 1:n_jets - jet_constituents = jcs[j] - track_indices = jet_constituents.tracks - n_particles = length(track_indices) - - jet_result = Vector{Float32}(undef, n_particles) - - @simd ivdep for i in 1:n_particles - track_idx = track_indices[i].first - jet_result[i] = ifelse(track_idx < n_tracks, - tracks[track_idx + 1].covMatrix[3], - -9.0f0) - end - - result[j] = jet_result - end - - return result -end - -""" - get_dxyc(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} - -Get the d0-omega covariance (dxy/c) for each particle. - -# Arguments -- jcs: Vector of jet constituents -- tracks: StructVector of TrackState objects - -# Returns -Vector of vectors of dxyc values -""" -function get_dxyc(jcs::Vector{<:JetConstituents}, - tracks::StructVector{EDM4hep.TrackState}) - - n_jets = length(jcs) - n_tracks = length(tracks) - result = Vector{JetConstituentsData}(undef, n_jets) - - @inbounds for j in 1:n_jets - jet_constituents = jcs[j] - track_indices = jet_constituents.tracks - n_particles = length(track_indices) - - jet_result = Vector{Float32}(undef, n_particles) - - @simd ivdep for i in 1:n_particles - track_idx = track_indices[i].first - jet_result[i] = ifelse(track_idx < n_tracks, - tracks[track_idx + 1].covMatrix[4], - -9.0f0) - end - - result[j] = jet_result - end - - return result -end - -""" - get_phic(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} - -Get the phi0-omega covariance (phi/c) for each particle. - -# Arguments -- jcs: Vector of jet constituents -- tracks: StructVector of TrackState objects - -# Returns -Vector of vectors of phiomega values -""" -function get_phic(jcs::Vector{<:JetConstituents}, - tracks::StructVector{EDM4hep.TrackState}) - - n_jets = length(jcs) - n_tracks = length(tracks) - result = Vector{JetConstituentsData}(undef, n_jets) - - @inbounds for j in 1:n_jets - jet_constituents = jcs[j] - track_indices = jet_constituents.tracks - n_particles = length(track_indices) - - jet_result = Vector{Float32}(undef, n_particles) - - @simd ivdep for i in 1:n_particles - track_idx = track_indices[i].first - jet_result[i] = ifelse(track_idx < n_tracks, - tracks[track_idx + 1].covMatrix[5], - -9.0f0) - end - - result[j] = jet_result - end - - return result -end - -""" - get_dptdpt(jcs::Vector{JetConstituents}, - tracks::StructVector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} - -Get the omega covariance (dpt/dpt) for each particle in each jet from its associated track. -Reference: FCCAnalyses c++ function get_omega_cov, adapted for jet constituents. - -# Arguments -- jcs: Vector of jet constituents (each element contains particles for one jet) -- tracks: StructVector of TrackState objects - -# Returns -Vector of vectors of dptdpt values -""" -function get_dptdpt(jcs::Vector{<:JetConstituents}, - tracks::StructVector{EDM4hep.TrackState}) - - n_jets = length(jcs) - n_tracks = length(tracks) - result = Vector{JetConstituentsData}(undef, n_jets) - - @inbounds for j in 1:n_jets - jet_constituents = jcs[j] - track_indices = jet_constituents.tracks - n_particles = length(track_indices) - - jet_result = Vector{Float32}(undef, n_particles) - - @simd ivdep for i in 1:n_particles - track_idx = track_indices[i].first - jet_result[i] = ifelse(track_idx < n_tracks, - tracks[track_idx + 1].covMatrix[6], - -9.0f0) - end - - result[j] = jet_result - end - - return result -end - -""" - get_dxydz(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} - -Get the d0-z0 covariance (dxy/dz) for each particle. - -# Arguments -- jcs: Vector of jet constituents -- tracks: StructVector of TrackState objects - -# Returns -Vector of vectors of dxy/dz values -""" -function get_dxydz(jcs::Vector{<:JetConstituents}, - tracks::StructVector{EDM4hep.TrackState}) - - n_jets = length(jcs) - n_tracks = length(tracks) - result = Vector{JetConstituentsData}(undef, n_jets) - - @inbounds for j in 1:n_jets - jet_constituents = jcs[j] - track_indices = jet_constituents.tracks - n_particles = length(track_indices) - - jet_result = Vector{Float32}(undef, n_particles) - - @simd ivdep for i in 1:n_particles - track_idx = track_indices[i].first - jet_result[i] = ifelse(track_idx < n_tracks, - tracks[track_idx + 1].covMatrix[7], - -9.0f0) - end - - result[j] = jet_result - end - - return result -end - -""" - get_phidz(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} - -Get the phi0-z0 covariance (dphi/dz) for each particle. - -# Arguments -- jcs: Vector of jet constituents -- tracks: StructVector of TrackState objects - -# Returns -Vector of vectors of phidz values -""" -function get_phidz(jcs::Vector{<:JetConstituents}, - tracks::StructVector{EDM4hep.TrackState}) - - n_jets = length(jcs) - n_tracks = length(tracks) - result = Vector{JetConstituentsData}(undef, n_jets) - - @inbounds for j in 1:n_jets - jet_constituents = jcs[j] - track_indices = jet_constituents.tracks - n_particles = length(track_indices) - - jet_result = Vector{Float32}(undef, n_particles) - - @simd ivdep for i in 1:n_particles - track_idx = track_indices[i].first - jet_result[i] = ifelse(track_idx < n_tracks, - tracks[track_idx + 1].covMatrix[8], - -9.0f0) - end - - result[j] = jet_result - end - - return result -end - -""" - get_cdz(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} - -Get the omega-z0 covariance (c/dz) for each particle. - -# Arguments -- jcs: Vector of jet constituents -- tracks: StructVector of TrackState objects - -# Returns -Vector of vectors of dxdz values -""" -function get_cdz(jcs::Vector{<:JetConstituents}, - tracks::StructVector{EDM4hep.TrackState}) - - n_jets = length(jcs) - n_tracks = length(tracks) - result = Vector{JetConstituentsData}(undef, n_jets) - - @inbounds for j in 1:n_jets - jet_constituents = jcs[j] - track_indices = jet_constituents.tracks - n_particles = length(track_indices) - - jet_result = Vector{Float32}(undef, n_particles) - - @simd ivdep for i in 1:n_particles - track_idx = track_indices[i].first - jet_result[i] = ifelse(track_idx < n_tracks, - tracks[track_idx + 1].covMatrix[9], - -9.0f0) - end - - result[j] = jet_result - end - - return result -end - -""" - get_dzdz(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} - -Get the z0 covariance (dz/dz) for each particle. - -# Arguments -- jcs: Vector of jet constituents -- tracks: StructVector of TrackState objects - -# Returns -Vector of vectors of z0 covariance values -""" -function get_dzdz(jcs::Vector{<:JetConstituents}, - tracks::StructVector{EDM4hep.TrackState}) - - n_jets = length(jcs) - n_tracks = length(tracks) - result = Vector{JetConstituentsData}(undef, n_jets) - - @inbounds for j in 1:n_jets - jet_constituents = jcs[j] - track_indices = jet_constituents.tracks - n_particles = length(track_indices) - - jet_result = Vector{Float32}(undef, n_particles) - - @simd ivdep for i in 1:n_particles - track_idx = track_indices[i].first - jet_result[i] = ifelse(track_idx < n_tracks, - tracks[track_idx + 1].covMatrix[10], - -9.0f0) - end - - result[j] = jet_result - end - - return result -end - -""" - get_dxyctgtheta(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} - -Get the d0-tanLambda covariance (dxy/ctgtheta) for each particle. - -# Arguments -- jcs: Vector of jet constituents -- tracks: StructVector of TrackState objects - -# Returns -Vector of vectors of dxyctgtheta values -""" -function get_dxyctgtheta(jcs::Vector{<:JetConstituents}, - tracks::StructVector{EDM4hep.TrackState}) - - n_jets = length(jcs) - n_tracks = length(tracks) - result = Vector{JetConstituentsData}(undef, n_jets) - - @inbounds for j in 1:n_jets - jet_constituents = jcs[j] - track_indices = jet_constituents.tracks - n_particles = length(track_indices) - - jet_result = Vector{Float32}(undef, n_particles) - - @simd ivdep for i in 1:n_particles - track_idx = track_indices[i].first - jet_result[i] = ifelse(track_idx < n_tracks, - tracks[track_idx + 1].covMatrix[11], - -9.0f0) - end - - result[j] = jet_result - end - - return result -end - -""" - get_phictgtheta(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} - -Get the phi0-tanLambda covariance (phi/ctgtheta) for each particle. - -# Arguments -- jcs: Vector of jet constituents -- tracks: StructVector of TrackState objects - -# Returns -Vector of vectors of phictgtheta values -""" -function get_phictgtheta(jcs::Vector{JetConstituents}, - tracks::StructVector{EDM4hep.TrackState}) - - n_jets = length(jcs) - n_tracks = length(tracks) - result = Vector{JetConstituentsData}(undef, n_jets) - - @inbounds for j in 1:n_jets - jet_constituents = jcs[j] - track_indices = jet_constituents.tracks - n_particles = length(track_indices) - - jet_result = Vector{Float32}(undef, n_particles) - - @simd ivdep for i in 1:n_particles - track_idx = track_indices[i].first - jet_result[i] = ifelse(track_idx < n_tracks, - tracks[track_idx + 1].covMatrix[12], - -9.0f0) - end - - result[j] = jet_result - end - - return result -end - -""" - get_cctgtheta(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} - -Get the omega-tanLambda covariance (c/ctgtheta) for each particle. - -# Arguments -- jcs: Vector of jet constituents -- tracks: StructVector of TrackState objects - -# Returns -Vector of vectors of cctgtheta values -""" -function get_cctgtheta(jcs::Vector{JetConstituents}, - tracks::StructVector{EDM4hep.TrackState}) - - n_jets = length(jcs) - n_tracks = length(tracks) - result = Vector{JetConstituentsData}(undef, n_jets) - - @inbounds for j in 1:n_jets - jet_constituents = jcs[j] - track_indices = jet_constituents.tracks - n_particles = length(track_indices) - - jet_result = Vector{Float32}(undef, n_particles) - - @simd ivdep for i in 1:n_particles - track_idx = track_indices[i].first - jet_result[i] = ifelse(track_idx < n_tracks, - tracks[track_idx + 1].covMatrix[13], - -9.0f0) - end - - result[j] = jet_result - end - - return result -end - -""" - get_dlambdadz(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} - -Get the tanLambda-z0 covariance (dlambda/dz) for each particle. - -# Arguments -- jcs: Vector of jet constituents -- tracks: StructVector of TrackState objects - -# Returns -Vector of vectors of dlambdadz values -""" -function get_dlambdadz(jcs::Vector{JetConstituents}, - tracks::StructVector{EDM4hep.TrackState}) - - n_jets = length(jcs) - n_tracks = length(tracks) - result = Vector{JetConstituentsData}(undef, n_jets) - - @inbounds for j in 1:n_jets - jet_constituents = jcs[j] - track_indices = jet_constituents.tracks - n_particles = length(track_indices) - - jet_result = Vector{Float32}(undef, n_particles) - - @simd ivdep for i in 1:n_particles - track_idx = track_indices[i].first - jet_result[i] = ifelse(track_idx < n_tracks, - tracks[track_idx + 1].covMatrix[14], - -9.0f0) - end - - result[j] = jet_result - end - - return result -end - -""" - get_detadeta(jcs::Vector{JetConstituents}, - tracks::StructVector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} - -Get the tanLambda covariance (deta/deta) for each particle in each jet from its associated track. -Reference: FCCAnalyses c++ function get_tanlambda_cov, adapted for jet constituents. - -# Arguments -- jcs: Vector of jet constituents -- tracks: StructVector of TrackState objects - -# Returns -Vector of vectors of detadeta values -""" -function get_detadeta(jcs::Vector{JetConstituents}, - tracks::StructVector{EDM4hep.TrackState}) - - n_jets = length(jcs) - n_tracks = length(tracks) - result = Vector{JetConstituentsData}(undef, n_jets) - - @inbounds for j in 1:n_jets - jet_constituents = jcs[j] - track_indices = jet_constituents.tracks - n_particles = length(track_indices) - - jet_result = Vector{Float32}(undef, n_particles) - - @simd ivdep for i in 1:n_particles - track_idx = track_indices[i].first - jet_result[i] = ifelse(track_idx < n_tracks, - tracks[track_idx + 1].covMatrix[15], - -9.0f0) - end - - result[j] = jet_result - end - - return result -end \ No newline at end of file diff --git a/ext/JetFlavourTagging/JetConstituent/JetConstituent5PID.jl b/ext/JetFlavourTagging/JetConstituent/JetConstituent5PID.jl deleted file mode 100644 index 3d066c21..00000000 --- a/ext/JetFlavourTagging/JetConstituent/JetConstituent5PID.jl +++ /dev/null @@ -1,181 +0,0 @@ -using EDM4hep -using JetReconstruction -using StructArrays: StructVector - -### Particle Identification (5) - -# get_isMu - Check if constituent is muon -# get_isEl - Check if constituent is electron -# get_isChargedHad - Check if constituent is charged hadron -# get_isGamma - Check if constituent is photon -# get_isNeutralHad - Check if constituent is neutral hadron - -""" - get_isMu(jcs::Vector{<:JetConstituents}) -> Vector{JetConstituentsData} - -Check if each constituent particle is a muon. - -# Arguments -- jcs: Vector of jet constituents - -# Returns -Vector of vectors of is muon boolean values as Float32. -""" -function get_isMu(jcs::Vector{<:JetConstituents}) - n_jets = length(jcs) - result = Vector{Vector{Float32}}(undef, n_jets) - - @inbounds for j in 1:n_jets - jet_constituents = jcs[j] - charges = jet_constituents.charge - masses = jet_constituents.mass - n_particles = length(charges) - - is_mu = Vector{Float32}(undef, n_particles) - - @simd for i in 1:n_particles - charge_check = abs(charges[i]) > 0 - mass_check = abs(masses[i] - 0.105658f0) < 1.0f-3 - is_mu[i] = (charge_check & mass_check) ? 1.0f0 : 0.0f0 - end - - result[j] = is_mu - end - - return result -end - -""" - get_isEl(jcs::Vector{<:JetConstituents}) -> Vector{JetConstituentsData} - -Check if each constituent particle is an electron. - -# Arguments -- jcs: Vector of jet constituents - -# Returns -Vector of vectors of is electron boolean values as Float32. -""" -function get_isEl(jcs::Vector{<:JetConstituents}) - - n_jets = length(jcs) - result = Vector{Vector{Float32}}(undef, n_jets) - - @inbounds for j in 1:n_jets - jet_constituents = jcs[j] - charges = jet_constituents.charge - masses = jet_constituents.mass - n_particles = length(charges) - - is_mu = Vector{Float32}(undef, n_particles) - - @simd for i in 1:n_particles - charge_check = abs(charges[i]) > 0 - mass_check = abs(masses[i] - 0.000510999f0) < 1.0f-5 - is_mu[i] = (charge_check & mass_check) ? 1.0f0 : 0.0f0 - end - - result[j] = is_mu - end - - return result -end - -""" - get_isChargedHad(jcs::Vector{<:JetConstituents}) -> Vector{JetConstituentsData} - -Check if each constituent particle is a charged hadron. - -# Arguments -- jcs: Vector of jet constituents - -# Returns -Vector of vectors of is charged hadron boolean values as Float32. -""" -function get_isChargedHad(jcs::Vector{<:JetConstituents}) - n_jets = length(jcs) - result = Vector{Vector{Float32}}(undef, n_jets) - - @inbounds for j in 1:n_jets - jet_constituents = jcs[j] - charges = jet_constituents.charge - masses = jet_constituents.mass - n_particles = length(charges) - - is_mu = Vector{Float32}(undef, n_particles) - - @simd for i in 1:n_particles - charge_check = abs(charges[i]) > 0 - mass_check = abs(masses[i] - 0.13957f0) < 1.0f-3 - is_mu[i] = (charge_check & mass_check) ? 1.0f0 : 0.0f0 - end - - result[j] = is_mu - end - - return result -end - -""" - get_isGamma(jcs::Vector{<:JetConstituents}) -> Vector{JetConstituentsData} - -Check if each constituent particle is a photon (gamma) (PDG 22). - -# Arguments -- jcs: Vector of jet constituents - -# Returns -Vector of vectors of is photon boolean values as Float32. -""" -function get_isGamma(jcs::Vector{<:JetConstituents}) - n_jets = length(jcs) - result = Vector{Vector{Float32}}(undef, n_jets) - - @inbounds for j in 1:n_jets - jet_constituents = jcs[j] - types = jet_constituents.type - n_particles = length(types) - - is_gamma = Vector{Float32}(undef, n_particles) - - @simd for i in 1:n_particles - is_gamma[i] = types[i] == 22 ? 1.0f0 : 0.0f0 - end - - result[j] = is_gamma - end - - return result -end - -""" - get_isNeutralHad(jcs::Vector{<:JetConstituents}) -> Vector{JetConstituentsData} - -Check if each constituent particle is a neutral hadron (PDG 130). - -# Arguments -- jcs: Vector of jet constituents - -# Returns -Vector of vectors of is neutral hadron boolean values as Float32. -""" -function get_isNeutralHad(jcs::Vector{<:JetConstituents}) - n_jets = length(jcs) - result = Vector{Vector{Float32}}(undef, n_jets) - - @inbounds for j in 1:n_jets - jet_constituents = jcs[j] - types = jet_constituents.type - n_particles = length(types) - - is_gamma = Vector{Float32}(undef, n_particles) - - @simd for i in 1:n_particles - is_gamma[i] = types[i] == 130 ? 1.0f0 : 0.0f0 - end - - result[j] = is_gamma - end - - return result -end \ No newline at end of file diff --git a/ext/JetFlavourTagging/JetConstituent/JetConstituent6Rel.jl b/ext/JetFlavourTagging/JetConstituent/JetConstituent6Rel.jl deleted file mode 100644 index 3d04e5a8..00000000 --- a/ext/JetFlavourTagging/JetConstituent/JetConstituent6Rel.jl +++ /dev/null @@ -1,275 +0,0 @@ -using EDM4hep -using JetReconstruction -using LoopVectorization -using StructArrays: StructVector - -### Relative Kinematics (5) - -# get_erel_cluster - Relative energy for clustered jets -# get_erel_log_cluster - Log of relative energy for clustered jets -# get_thetarel_cluster - Relative polar angle for clustered jets -# get_phirel_cluster - Relative azimuthal angle for clustered jets -# get_theta_phi_rel_cluster - Combined relative angles for clustered jets as they use the same logic - - -""" - get_erel_cluster(jets::Vector{EEJet}, - jcs::Vector{<:JetConstituents}) -> Vector{JetConstituentsData} - -Calculate relative energy (E_const/E_jet) for each constituent particle in clustered jets. - -# Arguments -- `jets::Vector{EEJet}`: Vector of clustered jets. -- `jcs::Vector{<:JetConstituents}`: Vector of jet constituents corresponding to the jets. - -# Returns -Vector containing relative energy values for each constituent in the jets. -""" -function get_erel_log_cluster(jets::Vector{EEJet}, - jcs::Vector{<:JetConstituents}) - n_jets = length(jets) - res = Vector{Vector{Float32}}(undef, n_jets) - - @inbounds for i in 1:n_jets - e_jet = jets[i].E - csts = jcs[i] - energies = csts.energy - n_constituents = length(energies) - jet_csts = Vector{Float32}(undef, n_constituents) - - if e_jet > 0.0f0 - inv_e_jet = 1.0f0 / e_jet - @turbo for j in 1:n_constituents - jet_csts[j] = energies[j] * inv_e_jet - end - else - @turbo for j in 1:n_constituents - jet_csts[j] = 0.0f0 - end - end - - res[i] = jet_csts - end - - return res -end - -""" - get_erel_log_cluster(jets::Vector{EEJet}, - jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} - -Calculate log of relative energy (log(E_const/E_jet)) for each constituent particle in clustered jets. - -# Arguments -- `jets::Vector{EEJet}`: Vector of clustered jets -- `jcs::Vector{JetConstituents}`: Vector of jet constituents corresponding to the jets - -# Returns -Vector containing log of relative energy values for each constituent in the jets -""" -function get_erel_log_cluster(jets::Vector{EEJet}, - jcs::Vector{<:JetConstituents}) - n_jets = length(jets) - res = Vector{Vector{Float32}}(undef, n_jets) - - @inbounds for i in 1:n_jets - e_jet = jets[i].E - csts = jcs[i] - energies = csts.energy - n_constituents = length(energies) - jet_csts = Vector{Float32}(undef, n_constituents) - - if e_jet > 0.0f0 - inv_e_jet = 1.0f0 / e_jet - @turbo for j in 1:n_constituents - jet_csts[j] = log10(energies[j] * inv_e_jet) - end - else - @turbo for j in 1:n_constituents - jet_csts[j] = 0.0f0 - end - end - - res[i] = jet_csts - end - - return res -end - -""" - get_thetarel_cluster(jets::Vector{EEJet}, - jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} - -Calculate relative theta angle between constituent particle and clustered jet axis. - -# Arguments -- `jets::Vector{EEJet}`: Vector of clustered jets -- `jcs::Vector{JetConstituents}`: Vector of jet constituents corresponding to the jets - -# Returns -Vector containing relative theta angle values for each constituent in the jets -""" -function get_thetarel_cluster(jets::Vector{EEJet}, - jcs::Vector{<:JetConstituents}) - n_jets = length(jets) - result = Vector{Vector{Float32}}(undef, n_jets) - - @inbounds for i in 1:n_jets - jet = jets[i] - px, py, pz = jet.px, jet.py, jet.pz - - # Pre-compute jet angles - pt_jet = sqrt(px^2 + py^2) - theta_jet = atan(pt_jet, pz) - phi_jet = atan(py, px) - - # Pre-compute trig values using sincos - sin_phi, cos_phi = sincos(-phi_jet) - sin_theta, cos_theta = sincos(-theta_jet) - - csts = jcs[i] - mom_x = csts.momentum.x - mom_y = csts.momentum.y - mom_z = csts.momentum.z - n_constituents = length(mom_x) - jet_csts = Vector{Float32}(undef, n_constituents) - - @turbo for j in 1:n_constituents - # First rotation - p_rot_x = mom_x[j] * cos_phi - mom_y[j] * sin_phi - p_rot_y = mom_x[j] * sin_phi + mom_y[j] * cos_phi - - # Second rotation - p_rot2_x = p_rot_x * cos_theta - mom_z[j] * sin_theta - p_rot2_z = p_rot_x * sin_theta + mom_z[j] * cos_theta - - pt_rot_sq = p_rot2_x^2 + p_rot_y^2 - pt_rot = sqrt(pt_rot_sq) - jet_csts[j] = atan(pt_rot, p_rot2_z) - end - - result[i] = jet_csts - end - - return result -end - -""" - get_phirel_cluster(jets::Vector{EEJet}, - jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} - -Calculate relative phi angle between constituent particle and clustered jet axis. - -# Arguments -- `jets::Vector{EEJet}`: Vector of clustered jets -- `jcs::Vector{JetConstituents}`: Vector of jet constituents corresponding to the jets - -# Returns -Vector containing relative phi angle values for each constituent in the jets -""" -function get_phirel_cluster(jets::Vector{EEJet}, - jcs::Vector{<:JetConstituents}) - n_jets = length(jets) - result = Vector{Vector{Float32}}(undef, n_jets) - - @inbounds for i in 1:n_jets - jet = jets[i] - px, py, pz = jet.px, jet.py, jet.pz - - # Pre-compute jet angles - pt_jet = sqrt(px^2 + py^2) - theta_jet = atan(pt_jet, pz) - phi_jet = atan(py, px) - - # Pre-compute trig values using sincos - sin_phi, cos_phi = sincos(-phi_jet) - sin_theta, cos_theta = sincos(-theta_jet) - - csts = jcs[i] - mom_x = csts.momentum.x - mom_y = csts.momentum.y - mom_z = csts.momentum.z - n_constituents = length(mom_x) - jet_csts = Vector{Float32}(undef, n_constituents) - - @turbo for j in 1:n_constituents - # First rotation around z-axis by -phi_jet - p_rot_x = mom_x[j] * cos_phi - mom_y[j] * sin_phi - p_rot_y = mom_x[j] * sin_phi + mom_y[j] * cos_phi - - # Second rotation around y-axis by -theta_jet - p_rot2_x = p_rot_x * cos_theta - mom_z[j] * sin_theta - - # Calculate phi in rotated frame - jet_csts[j] = atan(p_rot_y, p_rot2_x) - end - - result[i] = jet_csts - end - - return result -end - -""" - get_thetaphirel_cluster(jets::Vector{EEJet}, - jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} - -Calculate relative theta and phi angles between constituent particles and clustered jet axis. - -# Arguments -- `jets::Vector{EEJet}`: Vector of clustered jets -- `jcs::Vector{JetConstituents}`: Vector of jet constituents corresponding to the jets - -# Returns -Tuple of Vectors containing relative theta and phi angle values for each constituent in the jets -""" -function get_thetarel_phirel_cluster(jets::Vector{EEJet}, - jcs::Vector{<:JetConstituents}) - n_jets = length(jets) - theta_result = Vector{Vector{Float32}}(undef, n_jets) - phi_result = Vector{Vector{Float32}}(undef, n_jets) - - @inbounds for i in 1:n_jets - jet = jets[i] - px, py, pz = jet.px, jet.py, jet.pz - - # Pre-compute jet angles - pt_jet = sqrt(px^2 + py^2) - theta_jet = atan(pt_jet, pz) - phi_jet = atan(py, px) - - # Pre-compute trig values using sincos - sin_phi, cos_phi = sincos(-phi_jet) - sin_theta, cos_theta = sincos(-theta_jet) - - csts = jcs[i] - mom_x = csts.momentum.x - mom_y = csts.momentum.y - mom_z = csts.momentum.z - n_constituents = length(mom_x) - - jet_theta = Vector{Float32}(undef, n_constituents) - jet_phi = Vector{Float32}(undef, n_constituents) - - @turbo for j in 1:n_constituents - # First rotation around z-axis by -phi_jet - p_rot_x = mom_x[j] * cos_phi - mom_y[j] * sin_phi - p_rot_y = mom_x[j] * sin_phi + mom_y[j] * cos_phi - - # Second rotation around y-axis by -theta_jet - p_rot2_x = p_rot_x * cos_theta - mom_z[j] * sin_theta - p_rot2_z = p_rot_x * sin_theta + mom_z[j] * cos_theta - p_rot2_y = p_rot_y - - # Calculate both theta and phi in rotated frame - pt_rot = sqrt(p_rot2_x^2 + p_rot2_y^2) - jet_theta[j] = atan(pt_rot, p_rot2_z) - jet_phi[j] = atan(p_rot2_y, p_rot2_x) - end - - theta_result[i] = jet_theta - phi_result[i] = jet_phi - end - - return (theta_result, phi_result) -end \ No newline at end of file diff --git a/ext/JetFlavourTagging/JetConstituent/JetConstituent7Special.jl b/ext/JetFlavourTagging/JetConstituent/JetConstituent7Special.jl deleted file mode 100644 index 565a50d2..00000000 --- a/ext/JetFlavourTagging/JetConstituent/JetConstituent7Special.jl +++ /dev/null @@ -1,186 +0,0 @@ -using EDM4hep -using JetReconstruction -using StructArrays: StructVector - -const C_LIGHT = 2.99792458e8 -const C_LIGHT_INV = 1.0f0 / C_LIGHT -const ELECTRON_MASS = 0.000510999f0 -const MUON_MASS = 0.105658f0 -const PION_MASS = 0.13957039f0 -const ELECTRON_TOLERANCE = 1.0f-5 -const MUON_TOLERANCE = 1.0f-3 - -### Special Measurements (2) - -# get_dndx - dE/dx measurement (energy loss) -# get_mtof - Mass from time-of-flight measurement - -""" - get_dndx(jcs::Vector{JetConstituents}, - dNdx::StructVector{EDM4hep.Quantity}, - trackdata::StructVector{EDM4hep.Track}, - JetsConstituents_isChargedHad::Vector{JetConstituentsData}) -> Vector{JetConstituentsData} - -Calculate dE/dx or dN/dx for each charged hadron in jets. Neutrals, muons, and electrons are set to 0. -Only charged hadrons have valid dN/dx values. - -# Arguments -- jcs: Vector of jet constituents (each element contains particles for one jet) -- dNdx: StructVector of Quantity objects containing dN/dx measurements (EFlowTrack_2) -- trackdata: StructVector of Track objects (EFlowTrack) -- JetsConstituents_isChargedHad: Vector of vectors indicating which particles are charged hadrons - -# Returns -Vector of vectors of dN/dx values (one vector per jet, one value per constituent) -""" -function get_dndx(jcs::Vector{<:JetConstituents}, - dNdx::StructVector{EDM4hep.Quantity}, - trackdata::StructVector{EDM4hep.Track}, - JetsConstituents_isChargedHad::Vector{Vector{Float32}}) - - n_jets = length(jcs) - result = Vector{Vector{Float32}}(undef, n_jets) - tracks_len = length(trackdata) - - @inbounds for i in 1:n_jets - jet = jcs[i] - tracks_first = jet.tracks - isChargedHad = JetsConstituents_isChargedHad[i] - n_constituents = length(jet) - tmp = Vector{Float32}(undef, n_constituents) - - @simd ivdep for j in 1:n_constituents - has_valid_track = tracks_first[j].first + 1 <= tracks_len - is_charged_had = isChargedHad[j] == 1.0f0 - tmp[j] = ifelse(has_valid_track & is_charged_had, -1.0f0, 0.0f0) - end - - result[i] = tmp - end - - return result -end - -function get_mtof(jcs::Vector{<:JetConstituents}, - track_L::AbstractArray{T} where T <: Float32, - trackdata::StructVector{EDM4hep.Track}, - trackerhits::StructVector{EDM4hep.TrackerHit}, - gammadata::StructVector{EDM4hep.Cluster}, - nhdata::StructVector{EDM4hep.Cluster}, - calohits::StructVector{EDM4hep.CalorimeterHit}, - V::LorentzVector) - - n_jets = length(jcs) - result = Vector{Vector{Float32}}(undef, n_jets) - - # Pre-compute limits - tracks_len = length(trackdata) - gamma_len = length(gammadata) - nh_len = length(nhdata) - cluster_limit = nh_len + gamma_len - - # Pre-compute vertex values - vx, vy, vz = V.x, V.y, V.z - v_t_scaled = V.t * 1.0f-3 * C_LIGHT_INV # Tin calculation - - @inbounds for i in 1:n_jets - jc = jcs[i] - n_constituents = length(jc) - - # Pre-allocate for this jet - tmp = Vector{Float32}(undef, n_constituents) - result_idx = 0 - - # Access fields once - clusters_first = jc.clusters - tracks_first = jc.tracks - types = jc.type - charges = jc.charge - masses = jc.mass - energies = jc.energy - mom_x = jc.momentum.x - mom_y = jc.momentum.y - mom_z = jc.momentum.z - - for j in 1:n_constituents - cluster_idx = clusters_first[j].first - track_idx = tracks_first[j].first - particle_type = types[j] - - mass_calculated = -1.0f0 # Invalid marker - - # Handle cluster-based particles - if cluster_idx < cluster_limit - if particle_type == 130 # Neutral hadron - nh_idx = cluster_idx + 1 - gamma_len - hit_idx = nhdata[nh_idx].hits.first + 1 - - # Get hit data - hit = calohits[hit_idx] - tof = hit.time - - # Calculate distance - dx = hit.position.x - vx - dy = hit.position.y - vy - dz = hit.position.z - vz - L = sqrt(dx^2 + dy^2 + dz^2) * 0.001f0 - - beta = L / (tof * C_LIGHT) - - if 0.0f0 < beta < 1.0f0 - E = energies[j] - mass_calculated = E * sqrt(1.0f0 - beta^2) - else - mass_calculated = 9.0f0 # Invalid measurement - end - - elseif particle_type == 22 # Photon - mass_calculated = 0.0f0 - end - end - - # Handle track-based particles (only if not already calculated) - if mass_calculated < 0.0f0 && track_idx < tracks_len - charge = charges[j] - if abs(charge) > 0.0f0 - mass = masses[j] - - # Check for known particles - if abs(mass - ELECTRON_MASS) < ELECTRON_TOLERANCE - mass_calculated = ELECTRON_MASS - elseif abs(mass - MUON_MASS) < MUON_TOLERANCE - mass_calculated = MUON_MASS - else - # Calculate from time of flight - track = trackdata[track_idx + 1] - last_hit_idx = track.trackerHits.last - Tout = trackerhits[last_hit_idx].time - tof = Tout - v_t_scaled - - L = track_L[track_idx + 1] * 0.001f0 - beta = L / (tof * C_LIGHT) - - if 0.0f0 < beta < 1.0f0 - # Calculate momentum magnitude - p = sqrt(mom_x[j]^2 + mom_y[j]^2 + mom_z[j]^2) - mass_calculated = p * sqrt(1.0f0 / (beta^2) - 1.0f0) - else - mass_calculated = PION_MASS # Default - end - end - end - end - - # Store result if we calculated a mass - if mass_calculated >= 0.0f0 - result_idx += 1 - tmp[result_idx] = mass_calculated - end - end - - # Resize to actual number of particles with calculated mass - result[i] = resize!(tmp, result_idx) - end - - return result -end \ No newline at end of file diff --git a/ext/JetFlavourTagging/JetConstituent/JetConstituent8SIP.jl b/ext/JetFlavourTagging/JetConstituent/JetConstituent8SIP.jl deleted file mode 100644 index 52d67a4b..00000000 --- a/ext/JetFlavourTagging/JetConstituent/JetConstituent8SIP.jl +++ /dev/null @@ -1,386 +0,0 @@ -using EDM4hep -using JetReconstruction -using StructArrays: StructVector - -### Impact Parameters and Jet Distance (12) - -## 2D Impact Parameter -# get_Sip2dVal_clusterV - Vectorized version 2D signed impact parameter value for clustered jets -# get_Sip2dSig - 2D impact parameter significance - -# 3D Impact Parameter -# get_Sip3dVal_clusterV - Vectorized version 3D signed impact parameter value for clustered jets -# get_Sip3dSig - 3D impact parameter significance - -# Jet Distance -# get_JetDistVal_clusterV - Vectorized version jet distance value for clustered jets -# get_JetDistSig - Jet distance significance - -""" - get_Sip2dVal_clusterV(jets::Vector{JetReconstruction.EEJet}, - D0::Vector{JetConstituentsData}, - phi0::Vector{JetConstituentsData}, - Bz::Float32) -> Vector{JetConstituentsData} - -Calculate the 2D signed impact parameter value for each particle relative to the jet axis. -This is a Julia implementation of the C++ function get_Sip2dVal_clusterV. - -# Arguments -- jets: Vector of EEJet objects representing jets -- D0: Vector of vectors containing D0 values (transverse impact parameters) -- phi0: Vector of vectors containing phi0 values (azimuthal angles at impact point) -- Bz: The magnetic field in Tesla - -# Returns -Vector of vectors of 2D signed impact parameter values (one vector per jet) -""" -function get_Sip2dVal_clusterV(jets::Vector{JetReconstruction.EEJet}, - D0::Vector{JetConstituentsData}, - phi0::Vector{JetConstituentsData}, - Bz::Float32) - n_jets = length(jets) - result = Vector{JetConstituentsData}(undef, n_jets) - - @inbounds for i in 1:n_jets - px = Float32(jets[i].px) - py = Float32(jets[i].py) - d0_vals = D0[i] - phi_vals = phi0[i] - n_constituents = length(d0_vals) - - sip2d_values = Vector{Float32}(undef, n_constituents) - - @turbo for j in 1:n_constituents - d0_val = d0_vals[j] - phi_val = phi_vals[j] - - sin_phi, cos_phi = sincos(phi_val) - - d0x = -d0_val * sin_phi - d0y = d0_val * cos_phi - - dot_product = d0x * px + d0y * py - - abs_d0 = abs(d0_val) - sign_dot = sign(dot_product) - signed_ip = sign_dot * abs_d0 - - is_valid = Float32(d0_val != -9.0f0) - sip2d_values[j] = is_valid * signed_ip + (1.0f0 - is_valid) * (-9.0f0) - end - - result[i] = sip2d_values - end - - return result -end - - -""" - get_btagSip2dVal(jets::Vector{JetReconstruction.EEJet}, - pfcand_dxy::Vector{JetConstituentsData}, - pfcand_phi0::Vector{JetConstituentsData}, - Bz::Float32) -> Vector{JetConstituentsData} - -Call the implementation function get_Sip2dVal_clusterV -""" -function get_btagSip2dVal(jets::Vector{JetReconstruction.EEJet}, - pfcand_dxy::Vector{JetConstituentsData}, - pfcand_phi0::Vector{JetConstituentsData}, - Bz::Float32) - # Simply call the implementation function - return get_Sip2dVal_clusterV(jets, pfcand_dxy, pfcand_phi0, Bz) -end - -""" - get_Sip2dSig(Sip2dVals::Vector{JetConstituentsData}, - err2_D0::Vector{JetConstituentsData}) -> Vector{JetConstituentsData} - -Calculate the 2D signed impact parameter significance for each particle. -This is a Julia implementation of the C++ function get_Sip2dSig. - -# Arguments -- Sip2dVals: Vector of vectors containing 2D signed impact parameter values -- err2_D0: Vector of vectors containing squared errors of the D0 values - -# Returns -Vector of vectors of 2D signed impact parameter significances (one vector per jet) -""" -function get_Sip2dSig(Sip2dVals::Vector{JetConstituentsData}, - err2_D0::Vector{JetConstituentsData}) - n_jets = length(Sip2dVals) - result = Vector{JetConstituentsData}(undef, n_jets) - - @inbounds for i in 1:n_jets - n_constituents = length(Sip2dVals[i]) - sig_values = Vector{Float32}(undef, n_constituents) - sip_vals = Sip2dVals[i] - err_vals = err2_D0[i] - - @simd for j in 1:n_constituents - err_val = err_vals[j] - sip_val = sip_vals[j] - - valid = err_val > 0.0f0 - sqrt_err = sqrt(max(err_val, eps(Float32))) # Avoid sqrt of negative - sig = sip_val / sqrt_err - - sig_values[j] = valid ? sig : -9.0f0 - end - - result[i] = sig_values - end - - return result -end - -""" - get_btagSip2dSig(pfcand_btagSip2dVal::Vector{JetConstituentsData}, - pfcand_dxydxy::Vector{JetConstituentsData}) -> Vector{JetConstituentsData} - -Call the implementation function get_Sip2dSig -""" -function get_btagSip2dSig(pfcand_btagSip2dVal::Vector{JetConstituentsData}, - pfcand_dxydxy::Vector{JetConstituentsData}) - # Simply call the implementation function - return get_Sip2dSig(pfcand_btagSip2dVal, pfcand_dxydxy) -end - -""" - get_Sip3dVal_clusterV(jets::Vector{JetReconstruction.EEJet}, - D0::Vector{JetConstituentsData}, - Z0::Vector{JetConstituentsData}, - phi0::Vector{JetConstituentsData}, - Bz::Float32) -> Vector{JetConstituentsData} - -Calculate the 3D signed impact parameter value for each particle relative to the jet axis. -""" -function get_Sip3dVal_clusterV(jets::Vector{JetReconstruction.EEJet}, - D0::Vector{JetConstituentsData}, - Z0::Vector{JetConstituentsData}, - phi0::Vector{JetConstituentsData}, - Bz::Float32) - n_jets = length(jets) - result = Vector{JetConstituentsData}(undef, n_jets) - - @inbounds for i in 1:n_jets - px = Float32(jets[i].px) - py = Float32(jets[i].py) - pz = Float32(jets[i].pz) - d0_vals = D0[i] - z0_vals = Z0[i] - phi_vals = phi0[i] - n_constituents = length(d0_vals) - - cprojs = Vector{Float32}(undef, n_constituents) - - @turbo for j in 1:n_constituents - d0_val = d0_vals[j] - z0_val = z0_vals[j] - phi_val = phi_vals[j] - - sin_phi = sin(phi_val) - cos_phi = cos(phi_val) - - dx = -d0_val * sin_phi - dy = d0_val * cos_phi - dz = z0_val - - dot_prod = dx * px + dy * py + dz * pz - - magnitude = sqrt(d0_val * d0_val + z0_val * z0_val) - sign_dot = sign(dot_prod) - signed_ip = sign_dot * magnitude - - is_valid = Float32(d0_val != -9.0f0) - cprojs[j] = is_valid * signed_ip + (1.0f0 - is_valid) * (-9.0f0) - end - - result[i] = cprojs - end - - return result -end - -function get_btagSip3dVal(jets::Vector{JetReconstruction.EEJet}, - pfcand_dxy::Vector{JetConstituentsData}, - pfcand_dz::Vector{JetConstituentsData}, - pfcand_phi0::Vector{JetConstituentsData}, - Bz::Float32) -# Simply call the implementation function - return get_Sip3dVal_clusterV(jets, pfcand_dxy, pfcand_dz, pfcand_phi0, Bz) -end - -""" - get_Sip3dSig(Sip3dVals::Vector{JetConstituentsData}, - err2_D0::Vector{JetConstituentsData}, - err2_Z0::Vector{JetConstituentsData}) -> Vector{JetConstituentsData} - -Calculate the 3D signed impact parameter significance (value/error) for each particle. -""" -function get_Sip3dSig(Sip3dVals::Vector{JetConstituentsData}, - err2_D0::Vector{JetConstituentsData}, - err2_Z0::Vector{JetConstituentsData}) - n_jets = length(Sip3dVals) - result = Vector{JetConstituentsData}(undef, n_jets) - - @inbounds for i in 1:n_jets - n_constituents = length(Sip3dVals[i]) - sigs = Vector{Float32}(undef, n_constituents) - sip_vals = Sip3dVals[i] - err_d0 = err2_D0[i] - err_z0 = err2_Z0[i] - - @simd for j in 1:n_constituents - err_d0_val = err_d0[j] - err_z0_val = err_z0[j] - sip_val = sip_vals[j] - - # Branchless computation - valid = err_d0_val > 0.0f0 - err_sum = err_d0_val + err_z0_val - sqrt_err = sqrt(max(err_sum, eps(Float32))) - sig = sip_val / sqrt_err - - sigs[j] = valid ? sig : -9.0f0 - end - - result[i] = sigs - end - - return result -end - -function get_btagSip3dSig(Sip3dVals::Vector{JetConstituentsData}, - err2_D0::Vector{JetConstituentsData}, - err2_Z0::Vector{JetConstituentsData}) - # Simply call the implementation function - return get_Sip3dSig(Sip3dVals, err2_D0, err2_Z0) -end - -""" - get_JetDistVal_clusterV(jets::Vector{JetReconstruction.EEJet}, - jcs::Vector{<:JetConstituents}, - D0::Vector{JetConstituentsData}, - Z0::Vector{JetConstituentsData}, - phi0::Vector{JetConstituentsData}, - Bz::Float32) -> Vector{JetConstituentsData} - -Calculate the jet distance value for each particle, measuring the distance between -the point of closest approach and the jet axis. -""" -function get_JetDistVal_clusterV(jets::Vector{JetReconstruction.EEJet}, - jcs::Vector{<:JetConstituents}, - D0::Vector{JetConstituentsData}, - Z0::Vector{JetConstituentsData}, - phi0::Vector{JetConstituentsData}, - Bz::Float32) - n_jets = length(jets) - result = Vector{JetConstituentsData}(undef, n_jets) - - for i in 1:n_jets - px_jet, py_jet, pz_jet = jets[i].px, jets[i].py, jets[i].pz - ct = jcs[i] - n_constituents = length(ct) - tmp = Vector{Float32}(undef, n_constituents) - - for j in 1:n_constituents - if D0[i][j] != -9.0f0 - d0_val = D0[i][j] - z0_val = Z0[i][j] - - # Use sincos for efficiency - sin_phi, cos_phi = sincos(phi0[i][j]) - - # Impact parameter vector - dx = -d0_val * sin_phi - dy = d0_val * cos_phi - dz = z0_val - - # Constituent momentum - px_ct = ct[j].momentum.x - py_ct = ct[j].momentum.y - pz_ct = ct[j].momentum.z - - # Cross product: n = p_ct × p_jet - nx = py_ct * pz_jet - pz_ct * py_jet - ny = pz_ct * px_jet - px_ct * pz_jet - nz = px_ct * py_jet - py_ct * px_jet - - # Normalize - n_mag = sqrt(nx^2 + ny^2 + nz^2) - inv_n_mag = 1.0f0 / max(n_mag, eps(Float32)) - nx *= inv_n_mag - ny *= inv_n_mag - nz *= inv_n_mag - - # Distance (r_jet = [0,0,0], so we just need n·d) - tmp[j] = nx * dx + ny * dy + nz * dz - else - tmp[j] = -9.0f0 - end - end - - result[i] = tmp - end - - return result -end - -function get_btagJetDistVal(jets::Vector{JetReconstruction.EEJet}, - jcs::Vector{<:JetConstituents}, - D0::Vector{JetConstituentsData}, - Z0::Vector{JetConstituentsData}, - phi0::Vector{JetConstituentsData}, - Bz::Float32) - # Simply call the implementation function - return get_JetDistVal_clusterV(jets, jcs, D0, Z0, phi0, Bz) -end - - -""" - get_JetDistSig(JetDistVal::Vector{JetConstituentsData}, - err2_D0::Vector{JetConstituentsData}, - err2_Z0::Vector{JetConstituentsData}) -> Vector{JetConstituentsData} - -Calculate the jet distance significance (value/error) for each particle. -""" -function get_JetDistSig(JetDistVal::Vector{JetConstituentsData}, - err2_D0::Vector{JetConstituentsData}, - err2_Z0::Vector{JetConstituentsData}) - n_jets = length(JetDistVal) - result = Vector{JetConstituentsData}(undef, n_jets) - - @inbounds for i in 1:n_jets - n_constituents = length(JetDistVal[i]) - tmp = Vector{Float32}(undef, n_constituents) - jet_vals = JetDistVal[i] - err_d0 = err2_D0[i] - err_z0 = err2_Z0[i] - - @simd for j in 1:n_constituents - err_d0_val = err_d0[j] - err_z0_val = err_z0[j] - jet_val = jet_vals[j] - - # Branchless computation - valid = err_d0_val > 0.0f0 - err_sum = err_d0_val + err_z0_val - sqrt_err = sqrt(max(err_sum, eps(Float32))) - sig = jet_val / sqrt_err - - tmp[j] = valid ? sig : -9.0f0 - end - - result[i] = tmp - end - - return result -end - -function get_btagJetDistSig(JetDistVal::Vector{JetConstituentsData}, - err2_D0::Vector{JetConstituentsData}, - err2_Z0::Vector{JetConstituentsData}) - # Simply call the implementation function - return get_JetDistSig(JetDistVal, err2_D0, err2_Z0) -end diff --git a/ext/JetFlavourTagging/JetConstituent/JetConstituent9Count.jl b/ext/JetFlavourTagging/JetConstituent/JetConstituent9Count.jl deleted file mode 100644 index d79f9e09..00000000 --- a/ext/JetFlavourTagging/JetConstituent/JetConstituent9Count.jl +++ /dev/null @@ -1,9 +0,0 @@ -using EDM4hep -using JetReconstruction -using StructArrays: StructVector - -### Counting Functions (3) - -# count_jets - Count number of jets -# count_consts - Count constituents per jet -# count_type - Count constituents of specific type \ No newline at end of file diff --git a/ext/JetFlavourTagging/JetConstituentUtils.jl b/ext/JetFlavourTagging/JetConstituentUtils.jl index aaff3465..9d1c6a2a 100644 --- a/ext/JetFlavourTagging/JetConstituentUtils.jl +++ b/ext/JetFlavourTagging/JetConstituentUtils.jl @@ -1,323 +1,287 @@ using EDM4hep +using JetReconstruction +using LoopVectorization +# TODO: Using PhysicsConstants.jl for constants using StructArrays: StructVector -### TODO's: -# 1) Fix the covariance matrix extraction to avoid out-of-bounds errors. (DONE, Jun 9, 2025) -# 2) Move class type alias in line 11-12 to JetFlavourTagging file. But requires more checks. -# 3) For Vector structs and operations, maybe those file can go to another vector helper module, or I can use julia buildin Vector type. -# 4) Fix the kinematic variable sections (Currently working on, expect Jun 11, 2025) -# 5) Fix the vertex extraction from MCParticles -# a) prepare the vertex in the main file and pass it to here (currently working on, expect Jun 13, 2025) -# b) MTOF, dNdx (done) -# c) dNdx based on EDM4hep version -# d) kinematic variables (currently working on, expect Jun 16, 2025) -# 6) Optimize the b-tagging section. (expected Jun 17, 2025) -# 7) Unit tests! (Extract one event!) - -# Define type aliases for clarity const JetConstituents = StructVector{ReconstructedParticle, <:Any} const JetConstituentsData = Vector{Float32} +const C_LIGHT = 2.99792458f8 +const C_LIGHT_INV = 1.0f0 / C_LIGHT +const ELECTRON_MASS = 0.000510999f0 +const MUON_MASS = 0.105658f0 +const PION_MASS = 0.13957039f0 +const ELECTRON_TOLERANCE = 1.0f-5 +const MUON_TOLERANCE = 1.0f-3 +const PION_TOLERANCE = 1.0f-3 + +### Basic Kinematic (11) + +# get_pt - Transverse momentum +# get_p - Total momentum +# get_e - Energy +# get_mass - Mass +# get_type - Particle type +# get_charge - Electric charge +# get_theta - Polar angle +# get_phi - Azimuthal angle +# get_y - Rapidity +# get_eta - Pseudorapidity +# get_Bz - Magnetic field component -################################################################################# -# Kinematic variables -################################################################################# """ - get_Bz(jcs::Vector{JetConstituents}, - tracks::StructVector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} + get_pt(jcs::Vector{<:JetConstituents}) -> Vector{JetConstituentsData} -Calculate the magnetic field Bz for each particle based on track curvature and momentum. -# Returns -A vector of vectors of Bz values (one vector per jet, one value per constituent). +Get the transverse momentum of each particle in each jet. + +# Arguments +- jcs: Vector of jet constituents (each element contains particles for one jet) + +# Returns +A vector of vectors of transverse momentum values (sqrt(px^2 + py^2)) """ -function get_Bz(jcs::Vector{JetConstituents}, - tracks::StructVector{EDM4hep.TrackState}) - # Constants - c_light = 2.99792458e8 # speed of light in m/s - a = c_light * 1e3 * 1e-15 # conversion factor for omega [1/mm] - - result = Vector{JetConstituentsData}() - - for constituents in jcs - bz_values = JetConstituentsData() - - for p in constituents - # Check if particle has associated tracks through the relation - if isdefined(p, :tracks) && !isnothing(p.tracks) && !isempty(p.tracks) - # Get the first track (most relevant for Bz calculation) - track_idx = p.tracks[1] - - if track_idx <= length(tracks) - track = tracks[track_idx] - pt = sqrt(p.momentum.x^2 + p.momentum.y^2) - - # Calculate Bz based on track curvature (omega) and momentum - charge_sign = p.charge > 0.0 ? 1.0 : -1.0 - bz_val = track.omega / a * pt * charge_sign - push!(bz_values, bz_val) - else - push!(bz_values, -9.0f0) - end - else - push!(bz_values, -9.0f0) - end - end - - push!(result, bz_values) - end - - return result +function get_pt(jcs::Vector{<:JetConstituents}) + return [begin + mom_x = jet_constituents.momentum.x + mom_y = jet_constituents.momentum.y + Float32[@inbounds sqrt(mom_x[i]^2 + mom_y[i]^2) + for i in eachindex(mom_x)] + end for jet_constituents in jcs] end """ - get_mass(jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} + get_p(jcs::Vector{<:JetConstituents}) -> Vector{JetConstituentsData} -Get the mass of each particle in each jet. +Get the momentum magnitude of each particle in each jet. # Arguments -- jcs: Vector of jet constituents (each element contains particles for one jet) +- jcs: Vector of jet constituents # Returns -A vector of vectors of mass values +A vector of vectors of momentum magnitudes (sqrt(px^2 + py^2 + pz^2)) """ -function get_mass(jcs::Vector{JetConstituents}) - result = Vector{JetConstituentsData}() - for jet_constituents in jcs - mass_values = JetConstituentsData() - for p in jet_constituents - mass = p.mass - push!(mass_values, mass) - end - push!(result, mass_values) - end - return result +function get_p(jcs::Vector{<:JetConstituents}) + return [begin + mom_x = jet_constituents.momentum.x + mom_y = jet_constituents.momentum.y + mom_z = jet_constituents.momentum.z + Float32[@inbounds sqrt(mom_x[i]^2 + mom_y[i]^2 + mom_z[i]^2) + for i in eachindex(mom_x)] + end for jet_constituents in jcs] end """ - get_eta(jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} + get_e(jcs::Vector{<:JetConstituents}) -> Vector{JetConstituentsData} -Get the pseudorapidity of each particle in each jet. +Get the energy of each particle in each jet. # Arguments -- jcs: Vector of jet constituents (each element contains particles for one jet) +- jcs: Vector of jet constituents # Returns -A vector of vectors of pseudorapidity values (eta = -ln(tan(theta/2))) +A vector of vectors of energy values """ -function get_eta(jcs::Vector{JetConstituents}) - theta_result = get_theta(jcs) - result = -ln.(tan.(theta_result ./ 2)) - return result +function get_e(jcs::Vector{JetConstituents}) + return [jet_constituents.energy for jet_constituents in jcs] end """ - get_pt(jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} + get_type(jcs::Vector{<:JetConstituents}) -> Vector{JetConstituentsData} -Get the transverse momentum of each particle in each jet. +Get the PDG type of each particle in each jet. # Arguments -- jcs: Vector of jet constituents (each element contains particles for one jet) +- jcs: Vector of jet constituents # Returns -A vector of vectors of transverse momentum values (sqrt(px^2 + py^2)) +A vector of vectors of particle types (PDG codes/Particle IDs) """ -function get_pt(jcs::Vector{JetConstituents}) - result = Vector{JetConstituentsData}() - for jet_constituents in jcs - pt_values = JetConstituentsData() - for p in jet_constituents - pt = sqrt(p.momentum.x^2 + p.momentum.y^2) - push!(pt_values, pt) - end - push!(result, pt_values) - end - return result +function get_type(jcs::Vector{<:JetConstituents}) + return [jet_constituents.type for jet_constituents in jcs] end """ - get_p(jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} + get_mass(jcs::Vector{<:JetConstituents}) -> Vector{JetConstituentsData} -Get the momentum magnitude of each particle in each jet. +Get the mass of each particle in each jet. # Arguments - jcs: Vector of jet constituents # Returns -A vector of vectors of momentum magnitudes (sqrt(px^2 + py^2 + pz^2)) +A vector of vectors of mass values """ -function get_p(jcs::Vector{JetConstituents}) - result = Vector{JetConstituentsData}() - for jet_constituents in jcs - p_values = JetConstituentsData() - for p in jet_constituents - momentum = sqrt(p.momentum.x^2 + p.momentum.y^2 + p.momentum.z^2) - push!(p_values, momentum) - end - push!(result, p_values) - end - return result +function get_mass(jcs::Vector{<:JetConstituents}) + return [jet_constituents.mass for jet_constituents in jcs] end """ - get_e(jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} + get_charge(jcs::Vector{<:JetConstituents}) -> Vector{JetConstituentsData} -Get the energy of each particle in each jet. +Get the charge of each particle in each jet. + +# Arguments +- jcs: Vector of jet constituents + +# Returns +A vector of vectors of charge values """ -function get_e(jcs::Vector{JetConstituents}) - return [jet_constituents.energy for jet_constituents in jcs] +function get_charge(jcs::Vector{<:JetConstituents}) + return [jet_constituents.charge for jet_constituents in jcs] end """ - get_theta(jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} + get_theta(jcs::Vector{<:JetConstituents}) -> Vector{JetConstituentsData} Get the polar angle of each particle in each jet. -""" -function get_theta(jcs::Vector{JetConstituents}) - result = Vector{JetConstituentsData}() - for jet_constituents in jcs - theta_values = JetConstituentsData() - for p in jet_constituents - theta = (p.momentum.x == 0.0 && p.momentum.y == 0.0 && p.momentum.z == 0.0) ? 0.0 : atan(sqrt(p.momentum.x^2 + p.momentum.y^2), p.momentum.z) - push!(theta_values, theta) - end - push!(result, theta_values) - end - return result + +# Arguments +- jcs: Vector of jet constituents + +# Returns +A vector of vectors of polar angle values +""" +function get_theta(jcs::Vector{<:JetConstituents}) + return [begin + mom_x = jet_constituents.momentum.x + mom_y = jet_constituents.momentum.y + mom_z = jet_constituents.momentum.z + Float32[@inbounds( + let x = mom_x[i], y = mom_y[i], z = mom_z[i] + (x == 0.0f0 && y == 0.0f0 && z == 0.0f0) ? 0.0f0 : atan(sqrt(x^2 + y^2), z) + end + ) for i in eachindex(mom_x)] + end for jet_constituents in jcs] end """ get_phi(jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} Get the azimuthal angle of each particle in each jet. -""" -function get_phi(jcs::Vector{JetConstituents}) - result = Vector{JetConstituentsData}() - for jet_constituents in jcs - phi_values = JetConstituentsData() - for p in jet_constituents - phi = (p.momentum.x == 0.0 && p.momentum.y == 0.0) ? 0.0 : atan(p.momentum.y, p.momentum.x) - push!(phi_values, phi) - end - push!(result, phi_values) - end - return result + +# Arguments +- jcs: Vector of jet constituents + +# Returns +A vector of vectors of azimuthal angle values +""" +function get_phi(jcs::Vector{<:JetConstituents}) + return [begin + mom_x = jet_constituents.momentum.x + mom_y = jet_constituents.momentum.y + Float32[@inbounds( + let x = mom_x[i], y = mom_y[i] + (x == 0.0f0 && y == 0.0f0) ? 0.0f0 : atan(y, x) + end + ) for i in eachindex(mom_x)] + end for jet_constituents in jcs] end """ - get_y(jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} + get_y(jcs::Vector{<:JetConstituents}) -> Vector{JetConstituentsData} Get the rapidity of each particle in each jet. -""" -function get_y(jcs::Vector{JetConstituents}) - result = Vector{JetConstituentsData}() - for jet_constituents in jcs - y_values = JetConstituentsData() - for p in jet_constituents - y = 0.5 * log((p.energy + p.momentum.z) / (p.energy - p.momentum.z)) - push!(y_values, y) - end - push!(result, y_values) - end - return result -end -""" - get_charge(jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} +# Arguments +- jcs: Vector of jet constituents -Get the charge of each particle in each jet. -""" -function get_charge(jcs::Vector{JetConstituents}) - result = Vector{JetConstituentsData}() - for jet_constituents in jcs - charge_values = JetConstituentsData() - for p in jet_constituents - push!(charge_values, p.charge) - end - push!(result, charge_values) - end - return result +# Returns +A vector of vectors of rapidity values +""" +function get_y(jcs::Vector{<:JetConstituents}) + return [begin + energies = jet_constituents.energy + mom_z = jet_constituents.momentum.z + Float32[@inbounds( + let e = energies[i], pz = mom_z[i] + 0.5f0 * log((e + pz) / (e - pz)) + end + ) for i in eachindex(energies)] + end for jet_constituents in jcs] end """ - get_type(jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} + get_eta(jcs::Vector{<:JetConstituents}) -> Vector{JetConstituentsData} -Get the PDG type of each particle in each jet. +Get the pseudorapidity of each particle in each jet. + +# Arguments +- jcs: Vector of jet constituents # Returns -A vector of vectors of particle types (PDG codes/Particle IDs) +A vector of vectors of pseudorapidity values (eta = -ln(tan(theta/2))) """ -function get_type(jcs::Vector{JetConstituents}) - result = Vector{JetConstituentsData}() - for jet_constituents in jcs - type_values = JetConstituentsData() - for p in jet_constituents - push!(type_values, Float32(p.type)) - end - push!(result, type_values) - end - return result +function get_eta(jcs::Vector{<:JetConstituents}) + return [begin + mom_x = jet_constituents.momentum.x + mom_y = jet_constituents.momentum.y + mom_z = jet_constituents.momentum.z + Float32[@inbounds( + let x = mom_x[i], y = mom_y[i], z = mom_z[i] + p = sqrt(x^2 + y^2 + z^2) + if p == 0.0f0 + 0.0f0 + elseif p == abs(z) # particle along beam axis + sign(z) * Inf32 + else + 0.5f0 * log((p + z) / (p - z)) + end + end + ) for i in eachindex(mom_x)] + end for jet_constituents in jcs] end """ - get_phi0(jcs::Vector{JetConstituents}, - tracks::StructVector{EDM4hep.TrackState}, - V::LorentzVector, Bz::Float32) -> Vector{JetConstituentsData} + get_Bz(jcs::Vector{<:JetConstituents}, + tracks::StructVector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} -Calculate the phi angle at the point of closest approach for each particle relative to vertex V. -This is a Julia implementation of the C++ function XPtoPar_phi. +Calculate the magnetic field Bz for each particle based on track curvature and momentum. # Arguments -- jcs: Vector of jet constituents (each element contains particles for one jet) -- tracks: StructVector of TrackState objects -- V: LorentzVector representing the primary vertex -- Bz: The magnetic field in Tesla +- jcs: Vector of jet constituents +- tracks: Vector of track states (used to get the omega value) -# Returns -Vector of vectors of phi values (one vector per jet) +# Returns +A vector of vectors of Bz values. """ -function get_phi0(jcs::Vector{JetConstituents}, - tracks::StructVector{EDM4hep.TrackState}, - V::LorentzVector, Bz::Float32) - - cSpeed = 2.99792458e8 * 1.0e-9 +function get_Bz(jcs::Vector{<:JetConstituents}, + tracks::StructVector{EDM4hep.TrackState}) - result = Vector{JetConstituentsData}() - tracks_len = length(tracks) + a = 2.99792458e8 * 1e3 * 1e-15 + n_tracks = length(tracks) - for jc in jcs - phi_values = JetConstituentsData() - for p in jc - if p.tracks.first < tracks_len - track = tracks[p.tracks.first + 1] - - D0_wrt0 = track.D0 - Z0_wrt0 = track.Z0 - phi0_wrt0 = track.phi - - X = [-D0_wrt0 * sin(phi0_wrt0), - D0_wrt0 * cos(phi0_wrt0), - Z0_wrt0] - - x = X .- [V.x, V.y, V.z] - p3 = [p.momentum.x, p.momentum.y, p.momentum.z] - a = -p.charge * Bz * cSpeed - pt = sqrt(p.momentum.x^2 + p.momentum.y^2) - r2 = x[1]^2 + x[2]^2 - cross = x[1] * p3[2] - x[2] * p3[1] - T = sqrt(pt^2 - 2 * a * cross + a^2 * r2) - phi0 = atan((p3[2] - a * x[1]) / T, (p3[1] + a * x[2]) / T) - - push!(phi_values, Float32(phi0)) - else - push!(phi_values, -9.0f0) + # If tracks is a StructVector, we can access omega column directly + omega_values = tracks.omega + + return [begin + mom_x = jet_constituents.momentum.x + mom_y = jet_constituents.momentum.y + charges = jet_constituents.charge + track_indices = jet_constituents.tracks + + Float32[@inbounds( + let track_idx = track_indices[i].first + if track_idx < n_tracks + pt = sqrt(mom_x[i]^2 + mom_y[i]^2) + omega_values[track_idx + 1] / a * pt * copysign(1.0f0, charges[i]) + else + -9.0f0 + end end - end - push!(result, phi_values) - end - - return result + ) for i in eachindex(mom_x)] + end for jet_constituents in jcs] end +### Track Related Functions (5) + +## Track Parameter Transformations (XPtoPar) +# XPtoPar_dxy - Transformed transverse impact parameter +# XPtoPar_dz - Transformed longitudinal impact parameter +# XPtoPar_phi - Transformed azimuthal angle +# XPtoPar_C - Track curvature parameter +# XPtoPar_ct - c×tau parameter + """ get_dxy(jcs::Vector{JetConstituents}, tracks::StructVector{EDM4hep.TrackState}, @@ -327,7 +291,7 @@ Calculate the transverse impact parameter dxy for each particle in each jet rela Reference: FCCAnalyses c++ function XPtoPar_dxy, adapted for jet constituents. # Arguments -- jcs: Vector of jet constituents (each element contains particles for one jet) +- jcs: Vector of jet constituents - tracks: StructVector of TrackState objects - V: LorentzVector representing the primary vertex - Bz: The magnetic field in Tesla @@ -335,65 +299,74 @@ Reference: FCCAnalyses c++ function XPtoPar_dxy, adapted for jet constituents. # Returns Vector of vectors of dxy values (one vector per jet) """ -function get_dxy(jcs::Vector{JetConstituents}, +function get_dxy(jcs::Vector{<:JetConstituents}, tracks::StructVector{EDM4hep.TrackState}, V::LorentzVector, Bz::Float32) - cSpeed = 2.99792458e8 * 1.0e-9 + cSpeed_Bz = 2.99792458e8 * 1.0f-9 * Bz + n_tracks = length(tracks) - result = Vector{JetConstituentsData}() - tracks_len = length(tracks) + Vx, Vy = Float32(V.x), Float32(V.y) - for jc in jcs - dxy_values = JetConstituentsData() - for p in jc - if p.tracks.first < tracks_len - track = tracks[p.tracks.first + 1] - - D0_wrt0 = track.D0 - Z0_wrt0 = track.Z0 - phi0_wrt0 = track.phi - - X = [-D0_wrt0 * sin(phi0_wrt0), - D0_wrt0 * cos(phi0_wrt0), - Z0_wrt0] - - x = X .- [V.x, V.y, V.z] - p3 = [p.momentum.x, p.momentum.y, p.momentum.z] - a = -p.charge * Bz * cSpeed - pt = sqrt(p.momentum.x^2 + p.momentum.y^2) - r2 = x[1]^2 + x[2]^2 - cross = x[1] * p3[2] - x[2] * p3[1] - D = -9.0f0 - - if (pt^2 - 2 * a * cross + a^2 * r2) > 0 - T = sqrt(pt^2 - 2 * a * cross + a^2 * r2) - if pt < 10.0 - D = (T - pt) / a + D0_values = tracks.D0 + phi_values = tracks.phi + + return [begin + mom_x = jet_constituents.momentum.x + mom_y = jet_constituents.momentum.y + charges = jet_constituents.charge + track_indices = jet_constituents.tracks + + Float32[@inbounds( + let track_idx = track_indices[i].first + if track_idx < n_tracks + idx = track_idx + 1 + D0 = D0_values[idx] + phi0 = phi_values[idx] + + sin_phi, cos_phi = sincos(phi0) + x1 = -D0 * sin_phi - Vx + x2 = D0 * cos_phi - Vy + + px = mom_x[i] + py = mom_y[i] + + a = -charges[i] * cSpeed_Bz + pt = sqrt(px^2 + py^2) + r2 = x1^2 + x2^2 + cross = x1 * py - x2 * px + + # Compute impact parameter + discriminant = pt^2 - 2 * a * cross + a^2 * r2 + if discriminant > 0 + T = sqrt(discriminant) + if pt < 10.0f0 + (T - pt) / a + else + (-2 * cross + a * r2) / (T + pt) + end else - D = (-2 * cross + a * r2) / (T + pt) + -9.0f0 end + else + -9.0f0 end - push!(dxy_values, D) - else - push!(dxy_values, -9.0f0) end - end - push!(result, dxy_values) - end - return result + ) for i in eachindex(mom_x)] + end for jet_constituents in jcs] end + """ get_dz(jcs::Vector{JetConstituents}, - tracks::StructVector{EDM4hep.TrackState}, - V::LorentzVector, Bz::Float32) -> Vector{JetConstituentsData} + tracks::StructVector{EDM4hep.TrackState}, + V::LorentzVector, Bz::Float32) -> Vector{JetConstituentsData} Calculate the longitudinal impact parameter dz for each particle in each jet relative to vertex V. Reference: FCCAnalyses c++ function XPtoPar_dz, adapted for jet constituents. # Arguments -- jcs: Vector of jet constituents (each element contains particles for one jet) +- jcs: Vector of jet constituents - tracks: StructVector of TrackState objects - V: LorentzVector representing the primary vertex - Bz: The magnetic field in Tesla @@ -401,67 +374,154 @@ Reference: FCCAnalyses c++ function XPtoPar_dz, adapted for jet constituents. # Returns Vector of vectors of dz values (one vector per jet) """ -function get_dz(jcs::Vector{JetConstituents}, +function get_dz(jcs::Vector{<:JetConstituents}, tracks::StructVector{EDM4hep.TrackState}, V::LorentzVector, Bz::Float32) - cSpeed = 2.99792458e8 * 1.0e-9 + cSpeed_Bz = 2.99792458e8 * 1.0f-9 * Bz + n_tracks = length(tracks) - result = Vector{JetConstituentsData}() - tracks_len = length(tracks) + Vx, Vy, Vz = Float32(V.x), Float32(V.y), Float32(V.z) - for jc in jcs - dz_values = JetConstituentsData() - for p in jc - if p.tracks.first < tracks_len - track = tracks[p.tracks.first + 1] - - D0_wrt0 = track.D0 - Z0_wrt0 = track.Z0 - phi0_wrt0 = track.phi - - X = [-D0_wrt0 * sin(phi0_wrt0), - D0_wrt0 * cos(phi0_wrt0), - Z0_wrt0] - - x = X .- [V.x, V.y, V.z] - p3 = [p.momentum.x, p.momentum.y, p.momentum.z] - a = -p.charge * Bz * cSpeed - pt = sqrt(p.momentum.x^2 + p.momentum.y^2) - C = a / (2 * pt) - r2 = x[1]^2 + x[2]^2 - cross = x[1] * p3[2] - x[2] * p3[1] - T = sqrt(pt^2 - 2 * a * cross + a^2 * r2) - - D = if pt < 10.0 - (T - pt) / a + D0_values = tracks.D0 + Z0_values = tracks.Z0 + phi_values = tracks.phi + + return [begin + mom_x = jet_constituents.momentum.x + mom_y = jet_constituents.momentum.y + mom_z = jet_constituents.momentum.z + charges = jet_constituents.charge + track_indices = jet_constituents.tracks + + Float32[@inbounds( + let track_idx = track_indices[i].first + if track_idx < n_tracks + idx = track_idx + 1 + D0 = D0_values[idx] + Z0 = Z0_values[idx] + phi0 = phi_values[idx] + + sin_phi, cos_phi = sincos(phi0) + + x1 = -D0 * sin_phi - Vx + x2 = D0 * cos_phi - Vy + x3 = Z0 - Vz + + px = mom_x[i] + py = mom_y[i] + pz = mom_z[i] + + # Compute intermediate values + a = -charges[i] * cSpeed_Bz + pt = sqrt(px^2 + py^2) + C = a / (2 * pt) + r2 = x1^2 + x2^2 + cross = x1 * py - x2 * px + T = sqrt(pt^2 - 2 * a * cross + a^2 * r2) + + D = if pt < 10.0f0 + (T - pt) / a + else + (-2 * cross + a * r2) / (T + pt) + end + + B_arg = max(r2 - D^2, 0.0f0) / (1 + 2 * C * D) + B = C * sqrt(B_arg) + if abs(B) > 1.0f0 + B = sign(B) + end + + # Calculate st and ct + st = asin(B) / C + ct = pz / pt + + # Calculate z0 + dot = x1 * px + x2 * py + if dot > 0.0f0 + x3 - ct * st + else + x3 + ct * st + end else - (-2 * cross + a * r2) / (T + pt) + -9.0f0 end + end + ) for i in eachindex(mom_x)] + end for jet_constituents in jcs] +end - B = C * sqrt(max(r2 - D^2, 0.0) / (1 + 2 * C * D)) - if abs(B) > 1.0 - B = sign(B) - end +""" + get_phi0(jcs::Vector{JetConstituents}, + tracks::StructVector{EDM4hep.TrackState}, + V::LorentzVector, Bz::Float32) -> Vector{JetConstituentsData} - st = asin(B) / C - ct = p3[3] / pt +Calculate the phi angle at the point of closest approach for each particle relative to vertex V. +This is a Julia implementation of the C++ function XPtoPar_phi. - dot = x[1] * p3[1] + x[2] * p3[2] - z0 = if dot > 0.0 - x[3] - ct * st +# Arguments +- jcs: Vector of jet constituents +- tracks: StructVector of TrackState objects +- V: LorentzVector representing the primary vertex +- Bz: The magnetic field in Tesla + +# Returns +Vector of vectors of phi values (one vector per jet) +""" +function get_phi0(jcs::Vector{<:JetConstituents}, + tracks::StructVector{EDM4hep.TrackState}, + V::LorentzVector, Bz::Float32) + + cSpeed_Bz = 2.99792458e8 * 1.0f-9 * Bz + n_tracks = length(tracks) + + Vx, Vy = Float32(V.x), Float32(V.y) + + D0_values = tracks.D0 + phi_values = tracks.phi + + return [begin + mom_x = jet_constituents.momentum.x + mom_y = jet_constituents.momentum.y + charges = jet_constituents.charge + track_indices = jet_constituents.tracks + + Float32[@inbounds( + let track_idx = track_indices[i].first + if track_idx < n_tracks + idx = track_idx + 1 + D0 = D0_values[idx] + phi0_track = phi_values[idx] + + sin_phi, cos_phi = sincos(phi0_track) + + x1 = -D0 * sin_phi - Vx + x2 = D0 * cos_phi - Vy + + px = mom_x[i] + py = mom_y[i] + + a = -charges[i] * cSpeed_Bz + + # Minimize redundant calculations + pt2 = px^2 + py^2 + r2 = x1^2 + x2^2 + cross = x1 * py - x2 * px + two_a_cross = 2 * a * cross + a2_r2 = a^2 * r2 + + T = sqrt(pt2 - two_a_cross + a2_r2) + inv_T = 1.0f0 / T + + a_x1 = a * x1 + a_x2 = a * x2 + atan((py - a_x1) * inv_T, (px + a_x2) * inv_T) else - x[3] + ct * st + -9.0f0 end - - push!(dz_values, z0) - else - push!(dz_values, -9.0f0) end - end - push!(result, dz_values) - end - return result + ) for i in eachindex(mom_x)] + end for jet_constituents in jcs] end """ @@ -469,41 +529,43 @@ end tracks::StructVector{EDM4hep.TrackState}, Bz::Float32) -> Vector{JetConstituentsData} -Calculate the C for each particle in each jet. +Calculate the track curvature for each particle in each jet. Reference: FCCAnalyses c++ function XPtoPar_C, adapted for jet constituents. # Arguments -- jcs: Vector of jet constituents (each element contains particles for one jet) +- jcs: Vector of jet constituents - tracks: StructVector of TrackState objects - Bz: The magnetic field in Tesla # Returns Vector of vectors of C values (one vector per jet) """ -function get_c(jcs::Vector{JetConstituents}, - tracks::StructVector{EDM4hep.TrackState}, - Bz::Float32) +function get_c(jcs::Vector{<:JetConstituents}, + tracks::StructVector{EDM4hep.TrackState}, + Bz::Float32) - cSpeed = 2.99792458e8 * 1.0e3 * 1.0e-15 - - result = Vector{JetConstituentsData}() - tracks_len = length(tracks) + cSpeed_Bz_half = 2.99792458e8 * 1.0f3 * 1.0f-15 * Bz * 0.5f0 + n_tracks = length(tracks) - for jc in jcs - c_values = JetConstituentsData() - for p in jc - if p.tracks.first < tracks_len - a = copysign(1.0, p.charge) * Bz * cSpeed - pt = sqrt(p.momentum.x^2 + p.momentum.y^2) - C = a/(2 * pt) - push!(c_values, C) - else - push!(c_values, -9.0f0) + return [begin + mom_x = jet_constituents.momentum.x + mom_y = jet_constituents.momentum.y + charges = jet_constituents.charge + track_indices = jet_constituents.tracks + + Float32[@inbounds( + let track_idx = track_indices[i].first + if track_idx < n_tracks + px = mom_x[i] + py = mom_y[i] + inv_pt = 1.0f0 / sqrt(px^2 + py^2) + copysign(cSpeed_Bz_half * inv_pt, charges[i]) + else + -9.0f0 + end end - end - push!(result, c_values) - end - return result + ) for i in eachindex(mom_x)] + end for jet_constituents in jcs] end """ @@ -511,45 +573,65 @@ end tracks::StructVector{EDM4hep.TrackState}, Bz::Float32) -> Vector{JetConstituentsData} -Calculate the ct for each particle in each jet. -Reference: FCCAnalyses c++ function XPtoPar_C, adapted for jet constituents. +Calculate the c*tau for each particle in each jet. +Reference: FCCAnalyses c++ function XPtoPar_ct, adapted for jet constituents. # Arguments -- jcs: Vector of jet constituents (each element contains particles for one jet) +- jcs: Vector of jet constituents - tracks: StructVector of TrackState objects - Bz: The magnetic field in Tesla # Returns Vector of vectors of ct values (one vector per jet) """ -function get_ct(jcs::Vector{JetConstituents}, +function get_ct(jcs::Vector{<:JetConstituents}, tracks::StructVector{EDM4hep.TrackState}, Bz::Float32) - cSpeed = 2.99792458e8 * 1.0e-9 + n_tracks = length(tracks) - result = Vector{JetConstituentsData}() - tracks_len = length(tracks) - - for jc in jcs - ct_values = JetConstituentsData() - for p in jc - if p.tracks.first < tracks_len - pt = sqrt(p.momentum.x^2 + p.momentum.y^2) - ct = p.momentum.z / pt - push!(ct_values, ct) - else - push!(ct_values, -9.0f0) + return [begin + mom_x = jet_constituents.momentum.x + mom_y = jet_constituents.momentum.y + mom_z = jet_constituents.momentum.z + track_indices = jet_constituents.tracks + + Float32[@inbounds( + let track_idx = track_indices[i].first + if track_idx < n_tracks + px = mom_x[i] + py = mom_y[i] + pz = mom_z[i] + pt = sqrt(px^2 + py^2) + pz / pt + else + -9.0f0 + end end - end - push!(result, ct_values) - end - return result + ) for i in eachindex(mom_x)] + end for jet_constituents in jcs] end -################################################################################# -# Covariance matrix elements -#################################################################################4 +### Covariance Matrix Elements (15) + +## Diagonal Elements +# get_omega_cov - Omega variance +# get_d0_cov - d0 variance +# get_z0_cov - z0 variance +# get_phi0_cov - phi0 variance +# get_tanlambda_cov - tanLambda variance + +## Off-diagonal Elements +# get_d0_z0_cov +# get_phi0_d0_cov +# get_phi0_z0_cov +# get_tanlambda_phi0_cov +# get_tanlambda_d0_cov +# get_tanlambda_z0_cov +# get_omega_tanlambda_cov +# get_omega_phi0_cov +# get_omega_d0_cov +# get_omega_z0_cov """ get_dxydxy(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} @@ -557,29 +639,36 @@ end Get the d0 covariance (dxy/dxy) for each particle. # Arguments -- jcs: Vector of jet constituents (each element contains particles for one jet) +- jcs: Vector of jet constituents - tracks: StructVector of TrackState objects # Returns -Vector of vectors of dxydxy values (one vector per jet) +Vector of vectors of dxydxy values """ -function get_dxydxy(jcs::Vector{JetConstituents}, +function get_dxydxy(jcs::Vector{<:JetConstituents}, tracks::StructVector{EDM4hep.TrackState}) - - result = Vector{JetConstituentsData}() - tracks_len = length(tracks) - - for jc in jcs - jet_result = Float32[] - for p in jc - if p.tracks.first < tracks_len - push!(jet_result, tracks[p.tracks.first + 1].covMatrix[1]) - else - push!(jet_result, -9.0f0) - end + + n_jets = length(jcs) + n_tracks = length(tracks) + result = Vector{JetConstituentsData}(undef, n_jets) + + @inbounds for j in 1:n_jets + jet_constituents = jcs[j] + track_indices = jet_constituents.tracks + n_particles = length(track_indices) + + jet_result = Vector{Float32}(undef, n_particles) + + @simd ivdep for i in 1:n_particles + track_idx = track_indices[i].first + jet_result[i] = ifelse(track_idx < n_tracks, + tracks[track_idx + 1].covMatrix[1], + -9.0f0) end - push!(result, jet_result) + + result[j] = jet_result end + return result end @@ -589,29 +678,36 @@ end Get the phi0-d0 covariance (dphi/dxy) for each particle. # Arguments -- jcs: Vector of jet constituents (each element contains particles for one jet) +- jcs: Vector of jet constituents - tracks: StructVector of TrackState objects # Returns -Vector of vectors of dphidxy values (one vector per jet) +Vector of vectors of dphidxy values """ -function get_dphidxy(jcs::Vector{JetConstituents}, - tracks::StructVector{EDM4hep.TrackState}) +function get_dphidxy(jcs::Vector{<:JetConstituents}, + tracks::StructVector{EDM4hep.TrackState}) - result = Vector{JetConstituentsData}() - tracks_len = length(tracks) - - for jc in jcs - jet_result = Float32[] - for p in jc - if p.tracks.first < tracks_len - push!(jet_result, tracks[p.tracks.first + 1].covMatrix[2]) - else - push!(jet_result, -9.0f0) - end + n_jets = length(jcs) + n_tracks = length(tracks) + result = Vector{JetConstituentsData}(undef, n_jets) + + @inbounds for j in 1:n_jets + jet_constituents = jcs[j] + track_indices = jet_constituents.tracks + n_particles = length(track_indices) + + jet_result = Vector{Float32}(undef, n_particles) + + @simd ivdep for i in 1:n_particles + track_idx = track_indices[i].first + jet_result[i] = ifelse(track_idx < n_tracks, + tracks[track_idx + 1].covMatrix[2], + -9.0f0) end - push!(result, jet_result) + + result[j] = jet_result end + return result end @@ -623,29 +719,36 @@ Get the phi covariance (dphi/dphi) for each particle in each jet from its associ Reference: FCCAnalyses c++ function get_phi0_cov, adapted for jet constituents. # Arguments -- jcs: Vector of jet constituents (each element contains particles for one jet) +- jcs: Vector of jet constituents - tracks: StructVector of TrackState objects # Returns -Vector of vectors of dphidphi values (one vector per jet) +Vector of vectors of dphidphi values """ -function get_dphidphi(jcs::Vector{JetConstituents}, - tracks::StructVector{EDM4hep.TrackState}) - - result = Vector{JetConstituentsData}() - tracks_len = length(tracks) +function get_dphidphi(jcs::Vector{<:JetConstituents}, + tracks::StructVector{EDM4hep.TrackState}) - for jc in jcs - jet_result = Float32[] - for p in jc - if p.tracks.first < tracks_len - push!(jet_result, tracks[p.tracks.first + 1].covMatrix[3]) - else - push!(jet_result, -9.0f0) - end + n_jets = length(jcs) + n_tracks = length(tracks) + result = Vector{JetConstituentsData}(undef, n_jets) + + @inbounds for j in 1:n_jets + jet_constituents = jcs[j] + track_indices = jet_constituents.tracks + n_particles = length(track_indices) + + jet_result = Vector{Float32}(undef, n_particles) + + @simd ivdep for i in 1:n_particles + track_idx = track_indices[i].first + jet_result[i] = ifelse(track_idx < n_tracks, + tracks[track_idx + 1].covMatrix[3], + -9.0f0) end - push!(result, jet_result) + + result[j] = jet_result end + return result end @@ -655,29 +758,36 @@ end Get the d0-omega covariance (dxy/c) for each particle. # Arguments -- jcs: Vector of jet constituents (each element contains particles for one jet) +- jcs: Vector of jet constituents - tracks: StructVector of TrackState objects # Returns -Vector of vectors of dxyc values (one vector per jet) +Vector of vectors of dxyc values """ -function get_dxyc(jcs::Vector{JetConstituents}, - tracks::StructVector{EDM4hep.TrackState}) - - result = Vector{JetConstituentsData}() - tracks_len = length(tracks) +function get_dxyc(jcs::Vector{<:JetConstituents}, + tracks::StructVector{EDM4hep.TrackState}) - for jc in jcs - jet_result = Float32[] - for p in jc - if p.tracks.first < tracks_len - push!(jet_result, tracks[p.tracks.first + 1].covMatrix[4]) - else - push!(jet_result, -9.0f0) - end + n_jets = length(jcs) + n_tracks = length(tracks) + result = Vector{JetConstituentsData}(undef, n_jets) + + @inbounds for j in 1:n_jets + jet_constituents = jcs[j] + track_indices = jet_constituents.tracks + n_particles = length(track_indices) + + jet_result = Vector{Float32}(undef, n_particles) + + @simd ivdep for i in 1:n_particles + track_idx = track_indices[i].first + jet_result[i] = ifelse(track_idx < n_tracks, + tracks[track_idx + 1].covMatrix[4], + -9.0f0) end - push!(result, jet_result) + + result[j] = jet_result end + return result end @@ -687,35 +797,42 @@ end Get the phi0-omega covariance (phi/c) for each particle. # Arguments -- jcs: Vector of jet constituents (each element contains particles for one jet) +- jcs: Vector of jet constituents - tracks: StructVector of TrackState objects # Returns -Vector of vectors of phiomega values (one vector per jet) +Vector of vectors of phiomega values """ -function get_phic(jcs::Vector{JetConstituents}, - tracks::StructVector{EDM4hep.TrackState}) - - result = Vector{JetConstituentsData}() - tracks_len = length(tracks) +function get_phic(jcs::Vector{<:JetConstituents}, + tracks::StructVector{EDM4hep.TrackState}) - for jc in jcs - jet_result = Float32[] - for p in jc - if p.tracks.first < tracks_len - push!(jet_result, tracks[p.tracks.first + 1].covMatrix[5]) - else - push!(jet_result, -9.0f0) - end + n_jets = length(jcs) + n_tracks = length(tracks) + result = Vector{JetConstituentsData}(undef, n_jets) + + @inbounds for j in 1:n_jets + jet_constituents = jcs[j] + track_indices = jet_constituents.tracks + n_particles = length(track_indices) + + jet_result = Vector{Float32}(undef, n_particles) + + @simd ivdep for i in 1:n_particles + track_idx = track_indices[i].first + jet_result[i] = ifelse(track_idx < n_tracks, + tracks[track_idx + 1].covMatrix[5], + -9.0f0) end - push!(result, jet_result) + + result[j] = jet_result end + return result end """ get_dptdpt(jcs::Vector{JetConstituents}, - tracks::StructVector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} + tracks::StructVector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} Get the omega covariance (dpt/dpt) for each particle in each jet from its associated track. Reference: FCCAnalyses c++ function get_omega_cov, adapted for jet constituents. @@ -725,25 +842,32 @@ Reference: FCCAnalyses c++ function get_omega_cov, adapted for jet constituents. - tracks: StructVector of TrackState objects # Returns -Vector of vectors of dptdpt values (one vector per jet) +Vector of vectors of dptdpt values """ -function get_dptdpt(jcs::Vector{JetConstituents}, +function get_dptdpt(jcs::Vector{<:JetConstituents}, tracks::StructVector{EDM4hep.TrackState}) - - result = Vector{JetConstituentsData}() - tracks_len = length(tracks) - - for jc in jcs - jet_result = Float32[] - for p in jc - if p.tracks.first < tracks_len - push!(jet_result, tracks[p.tracks.first + 1].covMatrix[6]) - else - push!(jet_result, -9.0f0) - end + + n_jets = length(jcs) + n_tracks = length(tracks) + result = Vector{JetConstituentsData}(undef, n_jets) + + @inbounds for j in 1:n_jets + jet_constituents = jcs[j] + track_indices = jet_constituents.tracks + n_particles = length(track_indices) + + jet_result = Vector{Float32}(undef, n_particles) + + @simd ivdep for i in 1:n_particles + track_idx = track_indices[i].first + jet_result[i] = ifelse(track_idx < n_tracks, + tracks[track_idx + 1].covMatrix[6], + -9.0f0) end - push!(result, jet_result) + + result[j] = jet_result end + return result end @@ -753,29 +877,36 @@ end Get the d0-z0 covariance (dxy/dz) for each particle. # Arguments -- jcs: Vector of jet constituents (each element contains particles for one jet) +- jcs: Vector of jet constituents - tracks: StructVector of TrackState objects # Returns -Vector of vectors of dxy/dz values (one vector per jet) +Vector of vectors of dxy/dz values """ -function get_dxydz(jcs::Vector{JetConstituents}, - tracks::StructVector{EDM4hep.TrackState}) - - result = Vector{JetConstituentsData}() - tracks_len = length(tracks) - - for jc in jcs - jet_result = Float32[] - for p in jc - if p.tracks.first < tracks_len - push!(jet_result, tracks[p.tracks.first + 1].covMatrix[7]) - else - push!(jet_result, -9.0f0) - end +function get_dxydz(jcs::Vector{<:JetConstituents}, + tracks::StructVector{EDM4hep.TrackState}) + + n_jets = length(jcs) + n_tracks = length(tracks) + result = Vector{JetConstituentsData}(undef, n_jets) + + @inbounds for j in 1:n_jets + jet_constituents = jcs[j] + track_indices = jet_constituents.tracks + n_particles = length(track_indices) + + jet_result = Vector{Float32}(undef, n_particles) + + @simd ivdep for i in 1:n_particles + track_idx = track_indices[i].first + jet_result[i] = ifelse(track_idx < n_tracks, + tracks[track_idx + 1].covMatrix[7], + -9.0f0) end - push!(result, jet_result) + + result[j] = jet_result end + return result end @@ -785,29 +916,36 @@ end Get the phi0-z0 covariance (dphi/dz) for each particle. # Arguments -- jcs: Vector of jet constituents (each element contains particles for one jet) +- jcs: Vector of jet constituents - tracks: StructVector of TrackState objects # Returns -Vector of vectors of phidz values (one vector per jet) +Vector of vectors of phidz values """ -function get_phidz(jcs::Vector{JetConstituents}, - tracks::StructVector{EDM4hep.TrackState}) - - result = Vector{JetConstituentsData}() - tracks_len = length(tracks) +function get_phidz(jcs::Vector{<:JetConstituents}, + tracks::StructVector{EDM4hep.TrackState}) - for jc in jcs - jet_result = Float32[] - for p in jc - if p.tracks.first < tracks_len - push!(jet_result, tracks[p.tracks.first + 1].covMatrix[8]) - else - push!(jet_result, -9.0f0) - end + n_jets = length(jcs) + n_tracks = length(tracks) + result = Vector{JetConstituentsData}(undef, n_jets) + + @inbounds for j in 1:n_jets + jet_constituents = jcs[j] + track_indices = jet_constituents.tracks + n_particles = length(track_indices) + + jet_result = Vector{Float32}(undef, n_particles) + + @simd ivdep for i in 1:n_particles + track_idx = track_indices[i].first + jet_result[i] = ifelse(track_idx < n_tracks, + tracks[track_idx + 1].covMatrix[8], + -9.0f0) end - push!(result, jet_result) + + result[j] = jet_result end + return result end @@ -817,29 +955,36 @@ end Get the omega-z0 covariance (c/dz) for each particle. # Arguments -- jcs: Vector of jet constituents (each element contains particles for one jet) +- jcs: Vector of jet constituents - tracks: StructVector of TrackState objects # Returns -Vector of vectors of dxdz values (one vector per jet) +Vector of vectors of dxdz values """ -function get_cdz(jcs::Vector{JetConstituents}, - tracks::StructVector{EDM4hep.TrackState}) - - result = Vector{JetConstituentsData}() - tracks_len = length(tracks) +function get_cdz(jcs::Vector{<:JetConstituents}, + tracks::StructVector{EDM4hep.TrackState}) - for jc in jcs - jet_result = Float32[] - for p in jc - if p.tracks.first < tracks_len - push!(jet_result, tracks[p.tracks.first + 1].covMatrix[9]) - else - push!(jet_result, -9.0f0) - end + n_jets = length(jcs) + n_tracks = length(tracks) + result = Vector{JetConstituentsData}(undef, n_jets) + + @inbounds for j in 1:n_jets + jet_constituents = jcs[j] + track_indices = jet_constituents.tracks + n_particles = length(track_indices) + + jet_result = Vector{Float32}(undef, n_particles) + + @simd ivdep for i in 1:n_particles + track_idx = track_indices[i].first + jet_result[i] = ifelse(track_idx < n_tracks, + tracks[track_idx + 1].covMatrix[9], + -9.0f0) end - push!(result, jet_result) + + result[j] = jet_result end + return result end @@ -849,29 +994,36 @@ end Get the z0 covariance (dz/dz) for each particle. # Arguments -- jcs: Vector of jet constituents (each element contains particles for one jet) +- jcs: Vector of jet constituents - tracks: StructVector of TrackState objects # Returns -Vector of vectors of dxdz values (one vector per jet) +Vector of vectors of z0 covariance values """ -function get_dzdz(jcs::Vector{JetConstituents}, - tracks::StructVector{EDM4hep.TrackState}) - - result = Vector{JetConstituentsData}() - tracks_len = length(tracks) +function get_dzdz(jcs::Vector{<:JetConstituents}, + tracks::StructVector{EDM4hep.TrackState}) - for jc in jcs - jet_result = Float32[] - for p in jc - if p.tracks.first < tracks_len - push!(jet_result, tracks[p.tracks.first + 1].covMatrix[10]) - else - push!(jet_result, -9.0f0) - end + n_jets = length(jcs) + n_tracks = length(tracks) + result = Vector{JetConstituentsData}(undef, n_jets) + + @inbounds for j in 1:n_jets + jet_constituents = jcs[j] + track_indices = jet_constituents.tracks + n_particles = length(track_indices) + + jet_result = Vector{Float32}(undef, n_particles) + + @simd ivdep for i in 1:n_particles + track_idx = track_indices[i].first + jet_result[i] = ifelse(track_idx < n_tracks, + tracks[track_idx + 1].covMatrix[10], + -9.0f0) end - push!(result, jet_result) + + result[j] = jet_result end + return result end @@ -881,29 +1033,36 @@ end Get the d0-tanLambda covariance (dxy/ctgtheta) for each particle. # Arguments -- jcs: Vector of jet constituents (each element contains particles for one jet) +- jcs: Vector of jet constituents - tracks: StructVector of TrackState objects # Returns -Vector of vectors of dxyctgtheta values (one vector per jet) +Vector of vectors of dxyctgtheta values """ -function get_dxyctgtheta(jcs::Vector{JetConstituents}, - tracks::StructVector{EDM4hep.TrackState}) - - result = Vector{JetConstituentsData}() - tracks_len = length(tracks) +function get_dxyctgtheta(jcs::Vector{<:JetConstituents}, + tracks::StructVector{EDM4hep.TrackState}) - for jc in jcs - jet_result = Float32[] - for p in jc - if p.tracks.first < tracks_len - push!(jet_result, tracks[p.tracks.first + 1].covMatrix[11]) - else - push!(jet_result, -9.0f0) - end + n_jets = length(jcs) + n_tracks = length(tracks) + result = Vector{JetConstituentsData}(undef, n_jets) + + @inbounds for j in 1:n_jets + jet_constituents = jcs[j] + track_indices = jet_constituents.tracks + n_particles = length(track_indices) + + jet_result = Vector{Float32}(undef, n_particles) + + @simd ivdep for i in 1:n_particles + track_idx = track_indices[i].first + jet_result[i] = ifelse(track_idx < n_tracks, + tracks[track_idx + 1].covMatrix[11], + -9.0f0) end - push!(result, jet_result) + + result[j] = jet_result end + return result end @@ -913,29 +1072,36 @@ end Get the phi0-tanLambda covariance (phi/ctgtheta) for each particle. # Arguments -- jcs: Vector of jet constituents (each element contains particles for one jet) +- jcs: Vector of jet constituents - tracks: StructVector of TrackState objects # Returns -Vector of vectors of phictgtheta values (one vector per jet) +Vector of vectors of phictgtheta values """ function get_phictgtheta(jcs::Vector{JetConstituents}, - tracks::StructVector{EDM4hep.TrackState}) + tracks::StructVector{EDM4hep.TrackState}) - result = Vector{JetConstituentsData}() - tracks_len = length(tracks) - - for jc in jcs - jet_result = Float32[] - for p in jc - if p.tracks.first < tracks_len - push!(jet_result, tracks[p.tracks.first + 1].covMatrix[12]) - else - push!(jet_result, -9.0f0) - end + n_jets = length(jcs) + n_tracks = length(tracks) + result = Vector{JetConstituentsData}(undef, n_jets) + + @inbounds for j in 1:n_jets + jet_constituents = jcs[j] + track_indices = jet_constituents.tracks + n_particles = length(track_indices) + + jet_result = Vector{Float32}(undef, n_particles) + + @simd ivdep for i in 1:n_particles + track_idx = track_indices[i].first + jet_result[i] = ifelse(track_idx < n_tracks, + tracks[track_idx + 1].covMatrix[12], + -9.0f0) end - push!(result, jet_result) + + result[j] = jet_result end + return result end @@ -945,29 +1111,36 @@ end Get the omega-tanLambda covariance (c/ctgtheta) for each particle. # Arguments -- jcs: Vector of jet constituents (each element contains particles for one jet) +- jcs: Vector of jet constituents - tracks: StructVector of TrackState objects # Returns -Vector of vectors of cctgtheta values (one vector per jet) +Vector of vectors of cctgtheta values """ function get_cctgtheta(jcs::Vector{JetConstituents}, - tracks::StructVector{EDM4hep.TrackState}) - - result = Vector{JetConstituentsData}() - tracks_len = length(tracks) + tracks::StructVector{EDM4hep.TrackState}) - for jc in jcs - jet_result = Float32[] - for p in jc - if p.tracks.first < tracks_len - push!(jet_result, tracks[p.tracks.first + 1].covMatrix[13]) - else - push!(jet_result, -9.0f0) - end + n_jets = length(jcs) + n_tracks = length(tracks) + result = Vector{JetConstituentsData}(undef, n_jets) + + @inbounds for j in 1:n_jets + jet_constituents = jcs[j] + track_indices = jet_constituents.tracks + n_particles = length(track_indices) + + jet_result = Vector{Float32}(undef, n_particles) + + @simd ivdep for i in 1:n_particles + track_idx = track_indices[i].first + jet_result[i] = ifelse(track_idx < n_tracks, + tracks[track_idx + 1].covMatrix[13], + -9.0f0) end - push!(result, jet_result) + + result[j] = jet_result end + return result end @@ -977,455 +1150,532 @@ end Get the tanLambda-z0 covariance (dlambda/dz) for each particle. # Arguments -- jcs: Vector of jet constituents (each element contains particles for one jet) +- jcs: Vector of jet constituents - tracks: StructVector of TrackState objects # Returns -Vector of vectors of dlambdadz values (one vector per jet) +Vector of vectors of dlambdadz values """ function get_dlambdadz(jcs::Vector{JetConstituents}, - tracks::StructVector{EDM4hep.TrackState}) + tracks::StructVector{EDM4hep.TrackState}) - result = Vector{JetConstituentsData}() - tracks_len = length(tracks) - - for jc in jcs - jet_result = Float32[] - for p in jc - if p.tracks.first < tracks_len - push!(jet_result, tracks[p.tracks.first + 1].covMatrix[14]) - else - push!(jet_result, -9.0f0) - end + n_jets = length(jcs) + n_tracks = length(tracks) + result = Vector{JetConstituentsData}(undef, n_jets) + + @inbounds for j in 1:n_jets + jet_constituents = jcs[j] + track_indices = jet_constituents.tracks + n_particles = length(track_indices) + + jet_result = Vector{Float32}(undef, n_particles) + + @simd ivdep for i in 1:n_particles + track_idx = track_indices[i].first + jet_result[i] = ifelse(track_idx < n_tracks, + tracks[track_idx + 1].covMatrix[14], + -9.0f0) end - push!(result, jet_result) + + result[j] = jet_result end + return result end """ get_detadeta(jcs::Vector{JetConstituents}, - tracks::StructVector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} + tracks::StructVector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} Get the tanLambda covariance (deta/deta) for each particle in each jet from its associated track. Reference: FCCAnalyses c++ function get_tanlambda_cov, adapted for jet constituents. # Arguments -- jcs: Vector of jet constituents (each element contains particles for one jet) +- jcs: Vector of jet constituents - tracks: StructVector of TrackState objects # Returns -Vector of vectors of detadeta values (one vector per jet) +Vector of vectors of detadeta values """ function get_detadeta(jcs::Vector{JetConstituents}, - tracks::StructVector{EDM4hep.TrackState}) - - result = Vector{JetConstituentsData}() - tracks_len = length(tracks) + tracks::StructVector{EDM4hep.TrackState}) - for jc in jcs - jet_result = Float32[] - for p in jc - if p.tracks.first < tracks_len - push!(jet_result, tracks[p.tracks.first + 1].covMatrix[15]) - else - push!(jet_result, -9.0f0) - end + n_jets = length(jcs) + n_tracks = length(tracks) + result = Vector{JetConstituentsData}(undef, n_jets) + + @inbounds for j in 1:n_jets + jet_constituents = jcs[j] + track_indices = jet_constituents.tracks + n_particles = length(track_indices) + + jet_result = Vector{Float32}(undef, n_particles) + + @simd ivdep for i in 1:n_particles + track_idx = track_indices[i].first + jet_result[i] = ifelse(track_idx < n_tracks, + tracks[track_idx + 1].covMatrix[15], + -9.0f0) end - push!(result, jet_result) + + result[j] = jet_result end + return result end -################################################################################# -# Clustered jet specific variables -################################################################################# +### Particle Identification (5) +# get_isMu - Check if constituent is muon +# get_isEl - Check if constituent is electron +# get_isChargedHad - Check if constituent is charged hadron +# get_isGamma - Check if constituent is photon +# get_isNeutralHad - Check if constituent is neutral hadron """ - get_erel_log_cluster(jets::Vector{EEJet}, - jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} + get_isMu(jcs::Vector{<:JetConstituents}) -> Vector{JetConstituentsData} + +Check if each constituent particle is a muon. + +# Arguments +- jcs: Vector of jet constituents + +# Returns +Vector of vectors of is muon boolean values as Float32. +""" +function get_isMu(jcs::Vector{<:JetConstituents}) + n_jets = length(jcs) + result = Vector{Vector{Float32}}(undef, n_jets) + + @inbounds for j in 1:n_jets + jet_constituents = jcs[j] + charges = jet_constituents.charge + masses = jet_constituents.mass + n_particles = length(charges) + + is_mu = Vector{Float32}(undef, n_particles) + + @simd for i in 1:n_particles + charge_check = abs(charges[i]) > 0 + mass_check = abs(masses[i] - 0.105658f0) < 1.0f-3 + is_mu[i] = (charge_check & mass_check) ? 1.0f0 : 0.0f0 + end + + result[j] = is_mu + end + + return result +end + +""" + get_isEl(jcs::Vector{<:JetConstituents}) -> Vector{JetConstituentsData} + +Check if each constituent particle is an electron. + +# Arguments +- jcs: Vector of jet constituents -Calculate log of relative energy (log(E_const/E_jet)) for each constituent particle in clustered jets. +# Returns +Vector of vectors of is electron boolean values as Float32. """ -function get_erel_log_cluster(jets::Vector{EEJet}, - jcs::Vector{JetConstituents}) - # Define the result type - result = Vector{JetConstituentsData}() +function get_isEl(jcs::Vector{<:JetConstituents}) + + n_jets = length(jcs) + result = Vector{Vector{Float32}}(undef, n_jets) - for i in eachindex(jets) - jet_csts = Float32[] + @inbounds for j in 1:n_jets + jet_constituents = jcs[j] + charges = jet_constituents.charge + masses = jet_constituents.mass + n_particles = length(charges) - # Get jet energy - e_jet = jets[i].E # Assuming EEJet has an e property for energy + is_mu = Vector{Float32}(undef, n_particles) - # Get constituents for this jet - if i <= length(jcs) - constituents = jcs[i] - - for jc in constituents - # Calculate relative energy and log - val = (e_jet > 0.0) ? jc.energy / e_jet : 1.0 - erel_log = log10(val) - push!(jet_csts, erel_log) - end + @simd for i in 1:n_particles + charge_check = abs(charges[i]) > 0 + mass_check = abs(masses[i] - 0.000510999f0) < 1.0f-5 + is_mu[i] = (charge_check & mass_check) ? 1.0f0 : 0.0f0 end - push!(result, jet_csts) + result[j] = is_mu end return result end """ - get_thetarel_cluster(jets::Vector{EEJet}, - jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} + get_isChargedHad(jcs::Vector{<:JetConstituents}) -> Vector{JetConstituentsData} -Calculate relative theta angle between constituent particle and clustered jet axis. +Check if each constituent particle is a charged hadron. + +# Arguments +- jcs: Vector of jet constituents + +# Returns +Vector of vectors of is charged hadron boolean values as Float32. """ -function get_thetarel_cluster(jets::Vector{EEJet}, - jcs::Vector{JetConstituents}) - result = Vector{JetConstituentsData}() +function get_isChargedHad(jcs::Vector{<:JetConstituents}) + n_jets = length(jcs) + result = Vector{Vector{Float32}}(undef, n_jets) - for i in eachindex(jets) - jet_csts = Float32[] + @inbounds for j in 1:n_jets + jet_constituents = jcs[j] + charges = jet_constituents.charge + masses = jet_constituents.mass + n_particles = length(charges) - # Create a 4-vector for the jet - jet = jets[i] - px, py, pz, E = jet.px, jet.py, jet.pz, jet.E - - # Calculate jet direction angles - p_mag = sqrt(px^2 + py^2 + pz^2) - theta_jet = p_mag > 0 ? acos(pz / p_mag) : 0.0 - phi_jet = atan(py, px) + is_mu = Vector{Float32}(undef, n_particles) - # Get constituents for this jet - if i <= length(jcs) - constituents = jcs[i] - - for constituent in constituents - # Create a 4-vector for the constituent - p_const_x = constituent.momentum.x - p_const_y = constituent.momentum.y - p_const_z = constituent.momentum.z - - # Rotate the constituent vector to align with jet axis - - # First rotate around z-axis by -phi_jet - p_rot_x = p_const_x * cos(-phi_jet) - p_const_y * sin(-phi_jet) - p_rot_y = p_const_x * sin(-phi_jet) + p_const_y * cos(-phi_jet) - p_rot_z = p_const_z - - # Then rotate around y-axis by -theta_jet - p_rot2_x = p_rot_x * cos(-theta_jet) - p_rot_z * sin(-theta_jet) - p_rot2_z = p_rot_x * sin(-theta_jet) + p_rot_z * cos(-theta_jet) - p_rot2_y = p_rot_y - - # Calculate theta in rotated frame - p_rot_mag = sqrt(p_rot2_x^2 + p_rot2_y^2 + p_rot2_z^2) - theta_rel = p_rot_mag > 0 ? acos(p_rot2_z / p_rot_mag) : 0.0 - - push!(jet_csts, theta_rel) - end + @simd for i in 1:n_particles + charge_check = abs(charges[i]) > 0 + mass_check = abs(masses[i] - 0.13957f0) < 1.0f-3 + is_mu[i] = (charge_check & mass_check) ? 1.0f0 : 0.0f0 end - push!(result, jet_csts) + result[j] = is_mu end return result end """ - get_phirel_cluster(jets::Vector{EEJet}, - jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} + get_isGamma(jcs::Vector{<:JetConstituents}) -> Vector{JetConstituentsData} -Calculate relative phi angle between constituent particle and clustered jet axis. +Check if each constituent particle is a photon (gamma) (PDG 22). + +# Arguments +- jcs: Vector of jet constituents + +# Returns +Vector of vectors of is photon boolean values as Float32. """ -function get_phirel_cluster(jets::Vector{EEJet}, - jcs::Vector{JetConstituents}) - result = Vector{JetConstituentsData}() +function get_isGamma(jcs::Vector{<:JetConstituents}) + n_jets = length(jcs) + result = Vector{Vector{Float32}}(undef, n_jets) - for i in eachindex(jets) - jet_csts = Float32[] - - # Create a 4-vector for the jet - jet = jets[i] - # Access momentum components from EEJet - px, py, pz, E = jet.px, jet.py, jet.pz, jet.E + @inbounds for j in 1:n_jets + jet_constituents = jcs[j] + types = jet_constituents.type + n_particles = length(types) - # Calculate jet direction angles - p_mag = sqrt(px^2 + py^2 + pz^2) - theta_jet = p_mag > 0 ? acos(pz / p_mag) : 0.0 - phi_jet = atan(py, px) + is_gamma = Vector{Float32}(undef, n_particles) - # Get constituents for this jet - if i <= length(jcs) - constituents = jcs[i] - - for constituent in constituents - # Get constituent momentum - p_const_x = constituent.momentum.x - p_const_y = constituent.momentum.y - p_const_z = constituent.momentum.z - - # Rotate the constituent vector to align with jet axis - - # First rotate around z-axis by -phi_jet - p_rot_x = p_const_x * cos(-phi_jet) - p_const_y * sin(-phi_jet) - p_rot_y = p_const_x * sin(-phi_jet) + p_const_y * cos(-phi_jet) - p_rot_z = p_const_z - - # Then rotate around y-axis by -theta_jet - p_rot2_x = p_rot_x * cos(-theta_jet) - p_rot_z * sin(-theta_jet) - p_rot2_z = p_rot_x * sin(-theta_jet) + p_rot_z * cos(-theta_jet) - p_rot2_y = p_rot_y - - # Calculate phi in rotated frame - phi_rel = atan(p_rot2_y, p_rot2_x) - - push!(jet_csts, phi_rel) - end + @simd for i in 1:n_particles + is_gamma[i] = types[i] == 22 ? 1.0f0 : 0.0f0 end - push!(result, jet_csts) + result[j] = is_gamma end return result end -################################################################################# -# Particle ID variables -################################################################################# - """ - get_isMu(jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} + get_isNeutralHad(jcs::Vector{<:JetConstituents}) -> Vector{JetConstituentsData} -Check if each constituent particle is a muon. +Check if each constituent particle is a neutral hadron (PDG 130). + +# Arguments +- jcs: Vector of jet constituents + +# Returns +Vector of vectors of is neutral hadron boolean values as Float32. """ -function get_isMu(jcs::Vector{JetConstituents}) - result = Vector{JetConstituentsData}() +function get_isNeutralHad(jcs::Vector{<:JetConstituents}) + n_jets = length(jcs) + result = Vector{Vector{Float32}}(undef, n_jets) - for jet_constituents in jcs - is_mu = JetConstituentsData() + @inbounds for j in 1:n_jets + jet_constituents = jcs[j] + types = jet_constituents.type + n_particles = length(types) - for p in jet_constituents - if abs(p.charge) > 0 && abs(p.mass - 0.105658) < 1e-3 - push!(is_mu, 1.0f0) - else - push!(is_mu, 0.0f0) - end + is_gamma = Vector{Float32}(undef, n_particles) + + @simd for i in 1:n_particles + is_gamma[i] = types[i] == 130 ? 1.0f0 : 0.0f0 end - push!(result, is_mu) + result[j] = is_gamma end return result end +### Relative Kinematics (5) + +# get_erel_cluster - Relative energy for clustered jets +# get_erel_log_cluster - Log of relative energy for clustered jets +# get_thetarel_cluster - Relative polar angle for clustered jets +# get_phirel_cluster - Relative azimuthal angle for clustered jets +# get_theta_phi_rel_cluster - Combined relative angles for clustered jets as they use the same logic + """ - get_isEl(jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} + get_erel_cluster(jets::Vector{EEJet}, + jcs::Vector{<:JetConstituents}) -> Vector{JetConstituentsData} -Check if each constituent particle is an electron. +Calculate relative energy (E_const/E_jet) for each constituent particle in clustered jets. + +# Arguments +- `jets::Vector{EEJet}`: Vector of clustered jets. +- `jcs::Vector{<:JetConstituents}`: Vector of jet constituents corresponding to the jets. + +# Returns +Vector containing relative energy values for each constituent in the jets. """ -function get_isEl(jcs::Vector{JetConstituents}) - result = Vector{JetConstituentsData}() +function get_erel_log_cluster(jets::Vector{EEJet}, + jcs::Vector{<:JetConstituents}) + n_jets = length(jets) + res = Vector{Vector{Float32}}(undef, n_jets) - for jet_constituents in jcs - is_el = JetConstituentsData() + @inbounds for i in 1:n_jets + e_jet = jets[i].E + csts = jcs[i] + energies = csts.energy + n_constituents = length(energies) + jet_csts = Vector{Float32}(undef, n_constituents) - for p in jet_constituents - if abs(p.charge) > 0 && abs(p.mass - 0.000510999) < 1e-5 - push!(is_el, 1.0f0) - else - push!(is_el, 0.0f0) + if e_jet > 0.0f0 + inv_e_jet = 1.0f0 / e_jet + @turbo for j in 1:n_constituents + jet_csts[j] = energies[j] * inv_e_jet + end + else + @turbo for j in 1:n_constituents + jet_csts[j] = 0.0f0 end end - push!(result, is_el) + res[i] = jet_csts end - return result + return res end """ - get_isChargedHad(jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} + get_erel_log_cluster(jets::Vector{EEJet}, + jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} -Check if each constituent particle is a charged hadron. +Calculate log of relative energy (log(E_const/E_jet)) for each constituent particle in clustered jets. + +# Arguments +- `jets::Vector{EEJet}`: Vector of clustered jets +- `jcs::Vector{JetConstituents}`: Vector of jet constituents corresponding to the jets + +# Returns +Vector containing log of relative energy values for each constituent in the jets """ -function get_isChargedHad(jcs::Vector{JetConstituents}) - result = Vector{JetConstituentsData}() +function get_erel_log_cluster(jets::Vector{EEJet}, + jcs::Vector{<:JetConstituents}) + n_jets = length(jets) + res = Vector{Vector{Float32}}(undef, n_jets) - for jet_constituents in jcs - is_charged_had = JetConstituentsData() + @inbounds for i in 1:n_jets + e_jet = jets[i].E + csts = jcs[i] + energies = csts.energy + n_constituents = length(energies) + jet_csts = Vector{Float32}(undef, n_constituents) - for p in jet_constituents - if abs(p.charge) > 0 && abs(p.mass - 0.13957) < 1e-3 - push!(is_charged_had, 1.0f0) - else - push!(is_charged_had, 0.0f0) + if e_jet > 0.0f0 + inv_e_jet = 1.0f0 / e_jet + @turbo for j in 1:n_constituents + jet_csts[j] = log10(energies[j] * inv_e_jet) + end + else + @turbo for j in 1:n_constituents + jet_csts[j] = 0.0f0 end end - push!(result, is_charged_had) + res[i] = jet_csts end - return result + return res end """ - get_isGamma(jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} + get_thetarel_cluster(jets::Vector{EEJet}, + jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} + +Calculate relative theta angle between constituent particle and clustered jet axis. -Check if each constituent particle is a photon (gamma). +# Arguments +- `jets::Vector{EEJet}`: Vector of clustered jets +- `jcs::Vector{JetConstituents}`: Vector of jet constituents corresponding to the jets + +# Returns +Vector containing relative theta angle values for each constituent in the jets """ -function get_isGamma(jcs::Vector{JetConstituents}) - result = Vector{JetConstituentsData}() +function get_thetarel_cluster(jets::Vector{EEJet}, + jcs::Vector{<:JetConstituents}) + n_jets = length(jets) + result = Vector{Vector{Float32}}(undef, n_jets) - for jet_constituents in jcs - is_gamma = JetConstituentsData() + @inbounds for i in 1:n_jets + jet = jets[i] + px, py, pz = jet.px, jet.py, jet.pz - for p in jet_constituents - if p.type == 22 # PDG code for photon - push!(is_gamma, 1.0f0) - else - push!(is_gamma, 0.0f0) - end + # Pre-compute jet angles + pt_jet = sqrt(px^2 + py^2) + theta_jet = atan(pt_jet, pz) + phi_jet = atan(py, px) + + # Pre-compute trig values using sincos + sin_phi, cos_phi = sincos(-phi_jet) + sin_theta, cos_theta = sincos(-theta_jet) + + csts = jcs[i] + mom_x = csts.momentum.x + mom_y = csts.momentum.y + mom_z = csts.momentum.z + n_constituents = length(mom_x) + jet_csts = Vector{Float32}(undef, n_constituents) + + @turbo for j in 1:n_constituents + # First rotation + p_rot_x = mom_x[j] * cos_phi - mom_y[j] * sin_phi + p_rot_y = mom_x[j] * sin_phi + mom_y[j] * cos_phi + + # Second rotation + p_rot2_x = p_rot_x * cos_theta - mom_z[j] * sin_theta + p_rot2_z = p_rot_x * sin_theta + mom_z[j] * cos_theta + + pt_rot_sq = p_rot2_x^2 + p_rot_y^2 + pt_rot = sqrt(pt_rot_sq) + jet_csts[j] = atan(pt_rot, p_rot2_z) end - push!(result, is_gamma) + result[i] = jet_csts end return result end """ - get_isNeutralHad(jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} + get_phirel_cluster(jets::Vector{EEJet}, + jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} + +Calculate relative phi angle between constituent particle and clustered jet axis. + +# Arguments +- `jets::Vector{EEJet}`: Vector of clustered jets +- `jcs::Vector{JetConstituents}`: Vector of jet constituents corresponding to the jets -Check if each constituent particle is a neutral hadron. +# Returns +Vector containing relative phi angle values for each constituent in the jets """ -function get_isNeutralHad(jcs::Vector{JetConstituents}) - result = Vector{JetConstituentsData}() +function get_phirel_cluster(jets::Vector{EEJet}, + jcs::Vector{<:JetConstituents}) + n_jets = length(jets) + result = Vector{Vector{Float32}}(undef, n_jets) - for jet_constituents in jcs - is_neutral_had = JetConstituentsData() + @inbounds for i in 1:n_jets + jet = jets[i] + px, py, pz = jet.px, jet.py, jet.pz - for p in jet_constituents - if p.type == 130 # PDG code for K_L^0 (common neutral hadron) - push!(is_neutral_had, 1.0f0) - else - push!(is_neutral_had, 0.0f0) - end + # Pre-compute jet angles + pt_jet = sqrt(px^2 + py^2) + theta_jet = atan(pt_jet, pz) + phi_jet = atan(py, px) + + # Pre-compute trig values using sincos + sin_phi, cos_phi = sincos(-phi_jet) + sin_theta, cos_theta = sincos(-theta_jet) + + csts = jcs[i] + mom_x = csts.momentum.x + mom_y = csts.momentum.y + mom_z = csts.momentum.z + n_constituents = length(mom_x) + jet_csts = Vector{Float32}(undef, n_constituents) + + @turbo for j in 1:n_constituents + # First rotation around z-axis by -phi_jet + p_rot_x = mom_x[j] * cos_phi - mom_y[j] * sin_phi + p_rot_y = mom_x[j] * sin_phi + mom_y[j] * cos_phi + + # Second rotation around y-axis by -theta_jet + p_rot2_x = p_rot_x * cos_theta - mom_z[j] * sin_theta + + # Calculate phi in rotated frame + jet_csts[j] = atan(p_rot_y, p_rot2_x) end - push!(result, is_neutral_had) + result[i] = jet_csts end return result end -################################################################################# -# Time-of-flight mass calculation -################################################################################# - """ - get_mtof(jcs::Vector{JetConstituents}, - track_L::AbstractArray{T} where T <: AbstractFloat, - trackdata::StructVector{EDM4hep.Track}, - trackerhits::StructVector{EDM4hep.TrackerHit}, - gammadata::StructVector{EDM4hep.Cluster}, - nhdata::StructVector{EDM4hep.Cluster}, - calohits::StructVector{EDM4hep.CalorimeterHit}, - V::LorentzVector) -> Vector{JetConstituentsData} + get_thetaphirel_cluster(jets::Vector{EEJet}, + jcs::Vector{JetConstituents}) -> Vector{JetConstituentsData} -Calculate the mass using time-of-flight measurements for each particle in each jet. -This is a Julia implementation of the C++ function get_mtof. +Calculate relative theta and phi angles between constituent particles and clustered jet axis. # Arguments -- jcs: Vector of jet constituents (each element contains particles for one jet) -- track_L: Vector of track lengths -- trackdata: StructVector of Track objects -- trackerhits: StructVector of TrackerHit objects -- gammadata: StructVector of photon Cluster objects -- nhdata: StructVector of neutral hadron Cluster objects -- calohits: StructVector of CalorimeterHit objects -- V: LorentzVector representing the primary vertex position and time +- `jets::Vector{EEJet}`: Vector of clustered jets +- `jcs::Vector{JetConstituents}`: Vector of jet constituents corresponding to the jets # Returns -Vector of vectors of mtof values (one vector per jet) -""" -function get_mtof(jcs::Vector{JetConstituents}, - track_L::AbstractArray{T} where T <: AbstractFloat, - trackdata::StructVector{EDM4hep.Track}, - trackerhits::StructVector{EDM4hep.TrackerHit}, - gammadata::StructVector{EDM4hep.Cluster}, - nhdata::StructVector{EDM4hep.Cluster}, - calohits::StructVector{EDM4hep.CalorimeterHit}, - V::LorentzVector) - - c_light = 2.99792458e8 - result = Vector{JetConstituentsData}() - tracks_len = length(trackdata) - gamma_len = length(gammadata) - nh_len = length(nhdata) - - for i in eachindex(jcs) - jc = jcs[i] - tmp = JetConstituentsData() - - for j in eachindex(jc) - # particle = jc[j] - if jc[j].clusters.first < nh_len + gamma_len - if jc[j].type == 130 - hit_idx = (nhdata[jc[j].clusters.first+1 - gamma_len].hits.first+1) - - T = calohits[hit_idx].time - X = calohits[hit_idx].position.x - Y = calohits[hit_idx].position.y - Z = calohits[hit_idx].position.z - - tof = T - L = sqrt((X - V.x)^2 + (Y - V.y)^2 + (Z - V.z)^2) * 0.001 - beta = L/(tof * c_light) - E = jc[j].energy - if beta < 1.0 && beta > 0.0 - push!(tmp, E * sqrt(1.0 - beta^2)) - else - push!(tmp, 9.0f0) # Invalid measurement - end - elseif jc[j].type == 22 - push!(tmp, 0.0f0) # Photons have zero mass - end - end - - if jc[j].tracks.first < tracks_len - if abs(jc[j].charge) > 0 && abs(jc[j].mass - 0.000510999) < 1e-5 - push!(tmp, 0.000510999f0) # Electron mass - elseif abs(jc[j].charge) > 0 && abs(jc[j].mass - 0.105658) < 1e-3 - push!(tmp, 0.105658f0) # Muon mass - else - Tin = V.t * 1e-3 / c_light - Tout = trackerhits[trackdata[jc[j].tracks.first+1].trackerHits.last].time - tof = Tout - Tin - - L = track_L[jc[j].tracks.first+1] * 0.001 - beta = L/(tof * c_light) - p = sqrt(jc[j].momentum.x^2 + jc[j].momentum.y^2 + jc[j].momentum.z^2) - if beta < 1.0 && beta > 0.0 - push!(tmp, p * sqrt(1.0 / (beta^2) - 1.0)) - else - push!(tmp, 0.13957039f0) # Default to pion mass - end - end - end +Tuple of Vectors containing relative theta and phi angle values for each constituent in the jets +""" +function get_thetarel_phirel_cluster(jets::Vector{EEJet}, + jcs::Vector{<:JetConstituents}) + n_jets = length(jets) + theta_result = Vector{Vector{Float32}}(undef, n_jets) + phi_result = Vector{Vector{Float32}}(undef, n_jets) + + @inbounds for i in 1:n_jets + jet = jets[i] + px, py, pz = jet.px, jet.py, jet.pz + + # Pre-compute jet angles + pt_jet = sqrt(px^2 + py^2) + theta_jet = atan(pt_jet, pz) + phi_jet = atan(py, px) + + # Pre-compute trig values using sincos + sin_phi, cos_phi = sincos(-phi_jet) + sin_theta, cos_theta = sincos(-theta_jet) + + csts = jcs[i] + mom_x = csts.momentum.x + mom_y = csts.momentum.y + mom_z = csts.momentum.z + n_constituents = length(mom_x) + + jet_theta = Vector{Float32}(undef, n_constituents) + jet_phi = Vector{Float32}(undef, n_constituents) + + @turbo for j in 1:n_constituents + # First rotation around z-axis by -phi_jet + p_rot_x = mom_x[j] * cos_phi - mom_y[j] * sin_phi + p_rot_y = mom_x[j] * sin_phi + mom_y[j] * cos_phi + + # Second rotation around y-axis by -theta_jet + p_rot2_x = p_rot_x * cos_theta - mom_z[j] * sin_theta + p_rot2_z = p_rot_x * sin_theta + mom_z[j] * cos_theta + p_rot2_y = p_rot_y + + # Calculate both theta and phi in rotated frame + pt_rot = sqrt(p_rot2_x^2 + p_rot2_y^2) + jet_theta[j] = atan(pt_rot, p_rot2_z) + jet_phi[j] = atan(p_rot2_y, p_rot2_x) end - push!(result, tmp) + + theta_result[i] = jet_theta + phi_result[i] = jet_phi end - return result + return (theta_result, phi_result) end -################################################################################## -# dN/dx -################################################################################## +### Special Measurements (2) + +# get_dndx - dE/dx measurement (energy loss) +# get_mtof - Mass from time-of-flight measurement """ get_dndx(jcs::Vector{JetConstituents}, @@ -1445,33 +1695,171 @@ Only charged hadrons have valid dN/dx values. # Returns Vector of vectors of dN/dx values (one vector per jet, one value per constituent) """ -function get_dndx(jcs::Vector{JetConstituents}, - dNdx::StructVector{EDM4hep.Quantity}, - trackdata::StructVector{EDM4hep.Track}, - JetsConstituents_isChargedHad::Vector{JetConstituentsData}) +function get_dndx(jcs::Vector{<:JetConstituents}, + dNdx::StructVector{EDM4hep.Quantity}, + trackdata::StructVector{EDM4hep.Track}, + JetsConstituents_isChargedHad::Vector{Vector{Float32}}) - result = Vector{JetConstituentsData}() + n_jets = length(jcs) + result = Vector{Vector{Float32}}(undef, n_jets) tracks_len = length(trackdata) - for i in 1:length(jcs) + @inbounds for i in 1:n_jets + jet = jcs[i] + tracks_first = jet.tracks isChargedHad = JetsConstituents_isChargedHad[i] - tmp = JetConstituentsData() - for j in 1:length(jcs[i]) - if jcs[i][j].tracks.first + 1 <= tracks_len && Int(isChargedHad[j]) == 1 - push!(tmp, -1.0f0) - else - push!(tmp, 0.0f0) # Not a charged hadron or no valid track - end + n_constituents = length(jet) + tmp = Vector{Float32}(undef, n_constituents) + + @simd ivdep for j in 1:n_constituents + has_valid_track = tracks_first[j].first + 1 <= tracks_len + is_charged_had = isChargedHad[j] == 1.0f0 + tmp[j] = ifelse(has_valid_track & is_charged_had, -1.0f0, 0.0f0) end - push!(result, tmp) + + result[i] = tmp end return result end -################################################################################# -# B-tagging variables, signed impact parameter, dist, etc. -################################################################################# +function get_mtof(jcs::Vector{<:JetConstituents}, + track_L::AbstractArray{T} where T <: Float32, + trackdata::StructVector{EDM4hep.Track}, + trackerhits::StructVector{EDM4hep.TrackerHit}, + gammadata::StructVector{EDM4hep.Cluster}, + nhdata::StructVector{EDM4hep.Cluster}, + calohits::StructVector{EDM4hep.CalorimeterHit}, + V::LorentzVector) + + n_jets = length(jcs) + result = Vector{Vector{Float32}}(undef, n_jets) + + # Pre-compute limits + tracks_len = length(trackdata) + gamma_len = length(gammadata) + nh_len = length(nhdata) + cluster_limit = nh_len + gamma_len + + # Pre-compute vertex values + vx, vy, vz = V.x, V.y, V.z + v_t_scaled = V.t * 1.0f-3 * C_LIGHT_INV # Tin calculation + + @inbounds for i in 1:n_jets + jc = jcs[i] + n_constituents = length(jc) + + # Pre-allocate for this jet + tmp = Vector{Float32}(undef, n_constituents) + result_idx = 0 + + # Access fields once + clusters_first = jc.clusters + tracks_first = jc.tracks + types = jc.type + charges = jc.charge + masses = jc.mass + energies = jc.energy + mom_x = jc.momentum.x + mom_y = jc.momentum.y + mom_z = jc.momentum.z + + for j in 1:n_constituents + cluster_idx = clusters_first[j].first + track_idx = tracks_first[j].first + particle_type = types[j] + + mass_calculated = -1.0f0 # Invalid marker + + # Handle cluster-based particles + if cluster_idx < cluster_limit + if particle_type == 130 # Neutral hadron + nh_idx = cluster_idx + 1 - gamma_len + hit_idx = nhdata[nh_idx].hits.first + 1 + + # Get hit data + hit = calohits[hit_idx] + tof = hit.time + + # Calculate distance + dx = hit.position.x - vx + dy = hit.position.y - vy + dz = hit.position.z - vz + L = sqrt(dx^2 + dy^2 + dz^2) * 0.001f0 + + beta = L / (tof * C_LIGHT) + + if 0.0f0 < beta < 1.0f0 + E = energies[j] + mass_calculated = E * sqrt(1.0f0 - beta^2) + else + mass_calculated = 9.0f0 # Invalid measurement + end + + elseif particle_type == 22 # Photon + mass_calculated = 0.0f0 + end + end + + # Handle track-based particles (only if not already calculated) + if mass_calculated < 0.0f0 && track_idx < tracks_len + charge = charges[j] + if abs(charge) > 0.0f0 + mass = masses[j] + + # Check for known particles + if abs(mass - ELECTRON_MASS) < ELECTRON_TOLERANCE + mass_calculated = ELECTRON_MASS + elseif abs(mass - MUON_MASS) < MUON_TOLERANCE + mass_calculated = MUON_MASS + else + # Calculate from time of flight + track = trackdata[track_idx + 1] + last_hit_idx = track.trackerHits.last + Tout = trackerhits[last_hit_idx].time + tof = Tout - v_t_scaled + + L = track_L[track_idx + 1] * 0.001f0 + beta = L / (tof * C_LIGHT) + + if 0.0f0 < beta < 1.0f0 + # Calculate momentum magnitude + p = sqrt(mom_x[j]^2 + mom_y[j]^2 + mom_z[j]^2) + mass_calculated = p * sqrt(1.0f0 / (beta^2) - 1.0f0) + else + mass_calculated = PION_MASS # Default + end + end + end + end + + # Store result if we calculated a mass + if mass_calculated >= 0.0f0 + result_idx += 1 + tmp[result_idx] = mass_calculated + end + end + + # Resize to actual number of particles with calculated mass + result[i] = resize!(tmp, result_idx) + end + + return result +end + +### Impact Parameters and Jet Distance (12) + +## 2D Impact Parameter +# get_Sip2dVal_clusterV - Vectorized version 2D signed impact parameter value for clustered jets +# get_Sip2dSig - 2D impact parameter significance + +# 3D Impact Parameter +# get_Sip3dVal_clusterV - Vectorized version 3D signed impact parameter value for clustered jets +# get_Sip3dSig - 3D impact parameter significance + +# Jet Distance +# get_JetDistVal_clusterV - Vectorized version jet distance value for clustered jets +# get_JetDistSig - Jet distance significance """ get_Sip2dVal_clusterV(jets::Vector{JetReconstruction.EEJet}, @@ -1495,26 +1883,38 @@ function get_Sip2dVal_clusterV(jets::Vector{JetReconstruction.EEJet}, D0::Vector{JetConstituentsData}, phi0::Vector{JetConstituentsData}, Bz::Float32) - - result = Vector{JetConstituentsData}() + n_jets = length(jets) + result = Vector{JetConstituentsData}(undef, n_jets) - for i in eachindex(jets) - p = [jets[i].px, jets[i].py] - sip2d_values = JetConstituentsData() + @inbounds for i in 1:n_jets + px = Float32(jets[i].px) + py = Float32(jets[i].py) + d0_vals = D0[i] + phi_vals = phi0[i] + n_constituents = length(d0_vals) - for j in eachindex(D0[i]) - if D0[i][j] != -9.0f0 - d0 = [-D0[i][j] * sin(phi0[i][j]), - D0[i][j] * cos(phi0[i][j])] - dot_product = d0[1] * p[1] + d0[2] * p[2] - signed_ip = sign(dot_product) * abs(D0[i][j]) - push!(sip2d_values, signed_ip) - else - push!(sip2d_values, -9.0f0) - end + sip2d_values = Vector{Float32}(undef, n_constituents) + + @turbo for j in 1:n_constituents + d0_val = d0_vals[j] + phi_val = phi_vals[j] + + sin_phi, cos_phi = sincos(phi_val) + + d0x = -d0_val * sin_phi + d0y = d0_val * cos_phi + + dot_product = d0x * px + d0y * py + + abs_d0 = abs(d0_val) + sign_dot = sign(dot_product) + signed_ip = sign_dot * abs_d0 + + is_valid = Float32(d0_val != -9.0f0) + sip2d_values[j] = is_valid * signed_ip + (1.0f0 - is_valid) * (-9.0f0) end - push!(result, sip2d_values) + result[i] = sip2d_values end return result @@ -1553,20 +1953,27 @@ Vector of vectors of 2D signed impact parameter significances (one vector per je """ function get_Sip2dSig(Sip2dVals::Vector{JetConstituentsData}, err2_D0::Vector{JetConstituentsData}) + n_jets = length(Sip2dVals) + result = Vector{JetConstituentsData}(undef, n_jets) - result = Vector{JetConstituentsData}() - - for i in eachindex(Sip2dVals) - sig_values = JetConstituentsData() - for j in eachindex(Sip2dVals[i]) - if err2_D0[i][j] > 0.0f0 - push!(sig_values, Sip2dVals[i][j] / sqrt(err2_D0[i][j])) - else - push!(sig_values, -9.0f0) - end + @inbounds for i in 1:n_jets + n_constituents = length(Sip2dVals[i]) + sig_values = Vector{Float32}(undef, n_constituents) + sip_vals = Sip2dVals[i] + err_vals = err2_D0[i] + + @simd for j in 1:n_constituents + err_val = err_vals[j] + sip_val = sip_vals[j] + + valid = err_val > 0.0f0 + sqrt_err = sqrt(max(err_val, eps(Float32))) # Avoid sqrt of negative + sig = sip_val / sqrt_err + + sig_values[j] = valid ? sig : -9.0f0 end - push!(result, sig_values) + result[i] = sig_values end return result @@ -1598,24 +2005,43 @@ function get_Sip3dVal_clusterV(jets::Vector{JetReconstruction.EEJet}, Z0::Vector{JetConstituentsData}, phi0::Vector{JetConstituentsData}, Bz::Float32) - result = Vector{JetConstituentsData}() - for i in eachindex(jets) - p = [jets[i].px, jets[i].py, jets[i].pz] - cprojs = JetConstituentsData() - - for j in eachindex(D0[i]) - if D0[i][j] != -9.0 - d = [-D0[i][j] * sin(phi0[i][j]), - D0[i][j] * cos(phi0[i][j]), - Z0[i][j]] - dot_prod = d[1] * p[1] + d[2] * p[2] + d[3] * p[3] - cproj_val = sign(dot_prod) * abs(sqrt(D0[i][j]^2 + Z0[i][j]^2)) - push!(cprojs, cproj_val) - else - push!(cprojs, -9.0f0) - end + n_jets = length(jets) + result = Vector{JetConstituentsData}(undef, n_jets) + + @inbounds for i in 1:n_jets + px = Float32(jets[i].px) + py = Float32(jets[i].py) + pz = Float32(jets[i].pz) + d0_vals = D0[i] + z0_vals = Z0[i] + phi_vals = phi0[i] + n_constituents = length(d0_vals) + + cprojs = Vector{Float32}(undef, n_constituents) + + @turbo for j in 1:n_constituents + d0_val = d0_vals[j] + z0_val = z0_vals[j] + phi_val = phi_vals[j] + + sin_phi = sin(phi_val) + cos_phi = cos(phi_val) + + dx = -d0_val * sin_phi + dy = d0_val * cos_phi + dz = z0_val + + dot_prod = dx * px + dy * py + dz * pz + + magnitude = sqrt(d0_val * d0_val + z0_val * z0_val) + sign_dot = sign(dot_prod) + signed_ip = sign_dot * magnitude + + is_valid = Float32(d0_val != -9.0f0) + cprojs[j] = is_valid * signed_ip + (1.0f0 - is_valid) * (-9.0f0) end - push!(result, cprojs) + + result[i] = cprojs end return result @@ -1627,8 +2053,9 @@ function get_btagSip3dVal(jets::Vector{JetReconstruction.EEJet}, pfcand_phi0::Vector{JetConstituentsData}, Bz::Float32) # Simply call the implementation function -return get_Sip3dVal_clusterV(jets, pfcand_dxy, pfcand_dz, pfcand_phi0, Bz) + return get_Sip3dVal_clusterV(jets, pfcand_dxy, pfcand_dz, pfcand_phi0, Bz) end + """ get_Sip3dSig(Sip3dVals::Vector{JetConstituentsData}, err2_D0::Vector{JetConstituentsData}, @@ -1639,19 +2066,31 @@ Calculate the 3D signed impact parameter significance (value/error) for each par function get_Sip3dSig(Sip3dVals::Vector{JetConstituentsData}, err2_D0::Vector{JetConstituentsData}, err2_Z0::Vector{JetConstituentsData}) - result = Vector{JetConstituentsData}() + n_jets = length(Sip3dVals) + result = Vector{JetConstituentsData}(undef, n_jets) - for i in eachindex(Sip3dVals) - sigs = JetConstituentsData() - for j in eachindex(Sip3dVals[i]) - if err2_D0[i][j] > 0.0f0 - push!(sigs, Sip3dVals[i][j] / sqrt(err2_D0[i][j] + err2_Z0[i][j])) - else - push!(sigs, -9.0f0) - end + @inbounds for i in 1:n_jets + n_constituents = length(Sip3dVals[i]) + sigs = Vector{Float32}(undef, n_constituents) + sip_vals = Sip3dVals[i] + err_d0 = err2_D0[i] + err_z0 = err2_Z0[i] + + @simd for j in 1:n_constituents + err_d0_val = err_d0[j] + err_z0_val = err_z0[j] + sip_val = sip_vals[j] + + # Branchless computation + valid = err_d0_val > 0.0f0 + err_sum = err_d0_val + err_z0_val + sqrt_err = sqrt(max(err_sum, eps(Float32))) + sig = sip_val / sqrt_err + + sigs[j] = valid ? sig : -9.0f0 end - push!(result, sigs) + result[i] = sigs end return result @@ -1666,7 +2105,7 @@ end """ get_JetDistVal_clusterV(jets::Vector{JetReconstruction.EEJet}, - jcs::Vector{JetConstituents}, + jcs::Vector{<:JetConstituents}, D0::Vector{JetConstituentsData}, Z0::Vector{JetConstituentsData}, phi0::Vector{JetConstituentsData}, @@ -1676,51 +2115,65 @@ Calculate the jet distance value for each particle, measuring the distance betwe the point of closest approach and the jet axis. """ function get_JetDistVal_clusterV(jets::Vector{JetReconstruction.EEJet}, - jcs::Vector{JetConstituents}, + jcs::Vector{<:JetConstituents}, D0::Vector{JetConstituentsData}, Z0::Vector{JetConstituentsData}, phi0::Vector{JetConstituentsData}, Bz::Float32) - result = Vector{JetConstituentsData}() + n_jets = length(jets) + result = Vector{JetConstituentsData}(undef, n_jets) - for i in eachindex(jets) - p_jet = [jets[i].px, jets[i].py, jets[i].pz] - tmp = JetConstituentsData() + for i in 1:n_jets + px_jet, py_jet, pz_jet = jets[i].px, jets[i].py, jets[i].pz ct = jcs[i] + n_constituents = length(ct) + tmp = Vector{Float32}(undef, n_constituents) - for j in eachindex(ct) + for j in 1:n_constituents if D0[i][j] != -9.0f0 - d = [-D0[i][j] * sin(phi0[i][j]), - D0[i][j] * cos(phi0[i][j]), - Z0[i][j]] - p_ct = [ct[j].momentum.x, - ct[j].momentum.y, - ct[j].momentum.z] - r_jet = [0.0, 0.0, 0.0] - n = [ - p_ct[2] * p_jet[3] - p_ct[3] * p_jet[2], - p_ct[3] * p_jet[1] - p_ct[1] * p_jet[3], - p_ct[1] * p_jet[2] - p_ct[2] * p_jet[1] - ] - n_mag = sqrt(n[1]^2 + n[2]^2 + n[3]^2) - n = n./ n_mag # Normalize the normal vector - dist = n[1] * (d[1] - r_jet[1]) + - n[2] * (d[2] - r_jet[2]) + - n[3] * (d[3] - r_jet[3]) - push!(tmp, dist) + d0_val = D0[i][j] + z0_val = Z0[i][j] + + # Use sincos for efficiency + sin_phi, cos_phi = sincos(phi0[i][j]) + + # Impact parameter vector + dx = -d0_val * sin_phi + dy = d0_val * cos_phi + dz = z0_val + + # Constituent momentum + px_ct = ct[j].momentum.x + py_ct = ct[j].momentum.y + pz_ct = ct[j].momentum.z + + # Cross product: n = p_ct × p_jet + nx = py_ct * pz_jet - pz_ct * py_jet + ny = pz_ct * px_jet - px_ct * pz_jet + nz = px_ct * py_jet - py_ct * px_jet + + # Normalize + n_mag = sqrt(nx^2 + ny^2 + nz^2) + inv_n_mag = 1.0f0 / max(n_mag, eps(Float32)) + nx *= inv_n_mag + ny *= inv_n_mag + nz *= inv_n_mag + + # Distance (r_jet = [0,0,0], so we just need n·d) + tmp[j] = nx * dx + ny * dy + nz * dz else - push!(tmp, -9.0f0) + tmp[j] = -9.0f0 end end - push!(result, tmp) + result[i] = tmp end return result end function get_btagJetDistVal(jets::Vector{JetReconstruction.EEJet}, - jcs::Vector{JetConstituents}, + jcs::Vector{<:JetConstituents}, D0::Vector{JetConstituentsData}, Z0::Vector{JetConstituentsData}, phi0::Vector{JetConstituentsData}, @@ -1740,21 +2193,31 @@ Calculate the jet distance significance (value/error) for each particle. function get_JetDistSig(JetDistVal::Vector{JetConstituentsData}, err2_D0::Vector{JetConstituentsData}, err2_Z0::Vector{JetConstituentsData}) - result = Vector{JetConstituentsData}() - - for i in eachindex(JetDistVal) - tmp = JetConstituentsData() - for j in eachindex(JetDistVal[i]) - if err2_D0[i][j] > 0.0f0 - err3d = sqrt(err2_D0[i][j] + err2_Z0[i][j]) - jetdistsig = JetDistVal[i][j] / err3d - push!(tmp, jetdistsig) - else - push!(tmp, -9.0f0) - end + n_jets = length(JetDistVal) + result = Vector{JetConstituentsData}(undef, n_jets) + + @inbounds for i in 1:n_jets + n_constituents = length(JetDistVal[i]) + tmp = Vector{Float32}(undef, n_constituents) + jet_vals = JetDistVal[i] + err_d0 = err2_D0[i] + err_z0 = err2_Z0[i] + + @simd for j in 1:n_constituents + err_d0_val = err_d0[j] + err_z0_val = err_z0[j] + jet_val = jet_vals[j] + + # Branchless computation + valid = err_d0_val > 0.0f0 + err_sum = err_d0_val + err_z0_val + sqrt_err = sqrt(max(err_sum, eps(Float32))) + sig = jet_val / sqrt_err + + tmp[j] = valid ? sig : -9.0f0 end - push!(result, tmp) + result[i] = tmp end return result @@ -1766,52 +2229,3 @@ function get_btagJetDistSig(JetDistVal::Vector{JetConstituentsData}, # Simply call the implementation function return get_JetDistSig(JetDistVal, err2_D0, err2_Z0) end - -################################################################################# -# Counting variables -################################################################################# - -""" - count_jets(jets::Vector{JetConstituents}) -> Int - -Count the number of jets. -""" -function count_jets(jets::Vector{JetConstituents}) - return length(jets) -end - -""" - count_consts(jets::Vector{JetConstituents}) -> Vector{Int} - -Count the number of constituents in each jet. -""" -function count_consts(jets::Vector{JetConstituents}) - result = Vector{Int}() - - for i in eachindex(jets) - push!(result, length(jets[i])) - end - - return result -end - -""" - count_type(isType::Vector{JetConstituentsData}) -> Vector{Int} - -Count the number of particles of a specific type in each jet. -""" -function count_type(isType::Vector{JetConstituentsData}) - result = Vector{Int}() - - for i in eachindex(isType) - count = 0 - for j in eachindex(isType[i]) - if Int(isType[i][j]) == 1 - count += 1 - end - end - push!(result, count) - end - - return result -end From ba91c1b51818169d6d9b75018fe0ad53ce094d62 Mon Sep 17 00:00:00 2001 From: Harry Date: Tue, 17 Jun 2025 11:29:04 -0400 Subject: [PATCH 19/47] Minor fix for the Utils --- ext/JetFlavourTagging/JetConstituentUtils.jl | 20 ++++++++++---------- ext/JetFlavourTagging/JetFlavourTagging.jl | 4 ++-- 2 files changed, 12 insertions(+), 12 deletions(-) diff --git a/ext/JetFlavourTagging/JetConstituentUtils.jl b/ext/JetFlavourTagging/JetConstituentUtils.jl index 9d1c6a2a..3f852a0c 100644 --- a/ext/JetFlavourTagging/JetConstituentUtils.jl +++ b/ext/JetFlavourTagging/JetConstituentUtils.jl @@ -82,7 +82,7 @@ Get the energy of each particle in each jet. # Returns A vector of vectors of energy values """ -function get_e(jcs::Vector{JetConstituents}) +function get_e(jcs::Vector{<:JetConstituents}) return [jet_constituents.energy for jet_constituents in jcs] end @@ -1028,7 +1028,7 @@ function get_dzdz(jcs::Vector{<:JetConstituents}, end """ - get_dxyctgtheta(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} + get_dxyctgtheta(jcs::Vector{<:JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} Get the d0-tanLambda covariance (dxy/ctgtheta) for each particle. @@ -1067,7 +1067,7 @@ function get_dxyctgtheta(jcs::Vector{<:JetConstituents}, end """ - get_phictgtheta(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} + get_phictgtheta(jcs::Vector{<:JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} Get the phi0-tanLambda covariance (phi/ctgtheta) for each particle. @@ -1078,7 +1078,7 @@ Get the phi0-tanLambda covariance (phi/ctgtheta) for each particle. # Returns Vector of vectors of phictgtheta values """ -function get_phictgtheta(jcs::Vector{JetConstituents}, +function get_phictgtheta(jcs::Vector{<:JetConstituents}, tracks::StructVector{EDM4hep.TrackState}) n_jets = length(jcs) @@ -1106,7 +1106,7 @@ function get_phictgtheta(jcs::Vector{JetConstituents}, end """ - get_cctgtheta(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} + get_cctgtheta(jcs::Vector{<:JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} Get the omega-tanLambda covariance (c/ctgtheta) for each particle. @@ -1117,7 +1117,7 @@ Get the omega-tanLambda covariance (c/ctgtheta) for each particle. # Returns Vector of vectors of cctgtheta values """ -function get_cctgtheta(jcs::Vector{JetConstituents}, +function get_cctgtheta(jcs::Vector{<:JetConstituents}, tracks::StructVector{EDM4hep.TrackState}) n_jets = length(jcs) @@ -1145,7 +1145,7 @@ function get_cctgtheta(jcs::Vector{JetConstituents}, end """ - get_dlambdadz(jcs::Vector{JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} + get_dlambdadz(jcs::Vector{<:JetConstituents}, tracks::Vector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} Get the tanLambda-z0 covariance (dlambda/dz) for each particle. @@ -1156,7 +1156,7 @@ Get the tanLambda-z0 covariance (dlambda/dz) for each particle. # Returns Vector of vectors of dlambdadz values """ -function get_dlambdadz(jcs::Vector{JetConstituents}, +function get_dlambdadz(jcs::Vector{<:JetConstituents}, tracks::StructVector{EDM4hep.TrackState}) n_jets = length(jcs) @@ -1184,7 +1184,7 @@ function get_dlambdadz(jcs::Vector{JetConstituents}, end """ - get_detadeta(jcs::Vector{JetConstituents}, + get_detadeta(jcs::Vector{<:JetConstituents}, tracks::StructVector{EDM4hep.TrackState}) -> Vector{JetConstituentsData} Get the tanLambda covariance (deta/deta) for each particle in each jet from its associated track. @@ -1197,7 +1197,7 @@ Reference: FCCAnalyses c++ function get_tanlambda_cov, adapted for jet constitue # Returns Vector of vectors of detadeta values """ -function get_detadeta(jcs::Vector{JetConstituents}, +function get_detadeta(jcs::Vector{<:JetConstituents}, tracks::StructVector{EDM4hep.TrackState}) n_jets = length(jcs) diff --git a/ext/JetFlavourTagging/JetFlavourTagging.jl b/ext/JetFlavourTagging/JetFlavourTagging.jl index fb174f19..42ace32a 100644 --- a/ext/JetFlavourTagging/JetFlavourTagging.jl +++ b/ext/JetFlavourTagging/JetFlavourTagging.jl @@ -51,7 +51,7 @@ function JetReconstruction.setup_weaver(onnx_path::String, json_path::String) return JetFlavourHelper.setup_weaver(onnx_path, json_path) # TODO: Change this to setup_onnx_runtime end -function JetReconstruction.prepare_input_tensor(jcs::Vector{AbstractVector{EDM4hep.ReconstructedParticle}}, +function JetReconstruction.prepare_input_tensor(jcs::Vector{<:JetConstituents}, jets::Vector{EEJet}, config::Dict, feature_data::Dict) @@ -59,7 +59,7 @@ function JetReconstruction.prepare_input_tensor(jcs::Vector{AbstractVector{EDM4h end function JetReconstruction.get_weights(slot::Int, vars::Dict{String, Dict{String, Vector{Vector{Float32}}}}, - jets::Vector{EEJet}, jcs::Vector{AbstractVector{EDM4hep.ReconstructedParticle}}, + jets::Vector{EEJet}, jcs::Vector{<:JetConstituents}, json_config::Dict, model::ONNXRunTime.InferenceSession) return JetFlavourHelper.get_weights(slot, vars, jets, jcs, json_config, model) end From 9e2c7f5b2a16ba9ec91aac5a2fd11787e33b2a21 Mon Sep 17 00:00:00 2001 From: Harry Date: Tue, 17 Jun 2025 11:58:07 -0400 Subject: [PATCH 20/47] Updated gitignore to make ONNX readable --- .gitignore | 2 +- .../wc_pt_7classes_12_04_2023/fccee_fl.swp | Bin 0 -> 16384 bytes .../fccee_flavtagging_edm4hep_wc.json | 407 +++++++++++++++ .../fccee_flavtagging_edm4hep_wc.onnx | Bin 0 -> 8786275 bytes .../fccee_flavtagging_edm4hep_wc.yaml | 430 ++++++++++++++++ .../fccee_flavtagging_edm4hep_wc_v1.json | 396 +++++++++++++++ .../fccee_flavtagging_edm4hep_wc_v1.onnx | Bin 0 -> 8784707 bytes .../jet_constituent_benchmark.ipynb | 469 ------------------ .../simple-flavour-tagging.ipynb | 395 +-------------- 9 files changed, 1252 insertions(+), 847 deletions(-) create mode 100644 examples/flavour-tagging/data/wc_pt_7classes_12_04_2023/fccee_fl.swp create mode 100644 examples/flavour-tagging/data/wc_pt_7classes_12_04_2023/fccee_flavtagging_edm4hep_wc.json create mode 100644 examples/flavour-tagging/data/wc_pt_7classes_12_04_2023/fccee_flavtagging_edm4hep_wc.onnx create mode 100644 examples/flavour-tagging/data/wc_pt_7classes_12_04_2023/fccee_flavtagging_edm4hep_wc.yaml create mode 100644 examples/flavour-tagging/data/wc_pt_7classes_12_04_2023/fccee_flavtagging_edm4hep_wc_v1.json create mode 100644 examples/flavour-tagging/data/wc_pt_7classes_12_04_2023/fccee_flavtagging_edm4hep_wc_v1.onnx delete mode 100644 examples/flavour-tagging/jet_constituent_benchmark.ipynb diff --git a/.gitignore b/.gitignore index a101db27..ee8a8c54 100644 --- a/.gitignore +++ b/.gitignore @@ -36,4 +36,4 @@ benchmark/* /profile/* /statprof/* /debug/* -/examples/flavour-tagging/data +/examples/flavour-tagging/data/events_080263084.root diff --git a/examples/flavour-tagging/data/wc_pt_7classes_12_04_2023/fccee_fl.swp b/examples/flavour-tagging/data/wc_pt_7classes_12_04_2023/fccee_fl.swp new file mode 100644 index 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b/examples/flavour-tagging/data/wc_pt_7classes_12_04_2023/fccee_flavtagging_edm4hep_wc.json @@ -0,0 +1,407 @@ +{ + "output_names": [ + "recojet_isG", + "recojet_isU", + "recojet_isS", + "recojet_isC", + "recojet_isB", + "recojet_isTAU", + "recojet_isD" + ], + "input_names": [ + "pf_points", + "pf_features", + "pf_vectors", + "pf_mask" + ], + "pf_points": { + "var_names": [ + "pfcand_thetarel", + "pfcand_phirel" + ], + "var_infos": { + "pfcand_thetarel": { + "median": 0.34896841645240784, + "norm_factor": 1.623847928023531, + "replace_inf_value": 0, + "lower_bound": -5, + "upper_bound": 5, + "pad": 0 + }, + "pfcand_phirel": { + "median": 0.00031830096850171685, + "norm_factor": 0.4692355255199169, + "replace_inf_value": 0, + "lower_bound": -5, + "upper_bound": 5, + "pad": 0 + } + }, + "var_length": 75 + }, + "pf_features": { + "var_names": [ + "pfcand_erel_log", + "pfcand_thetarel", + "pfcand_phirel", + "pfcand_dptdpt", + "pfcand_detadeta", + "pfcand_dphidphi", + "pfcand_dxydxy", + "pfcand_dzdz", + "pfcand_dxydz", + "pfcand_dphidxy", + "pfcand_dlambdadz", + "pfcand_dxyc", + "pfcand_dxyctgtheta", + "pfcand_phic", + "pfcand_phidz", + "pfcand_phictgtheta", + "pfcand_cdz", + "pfcand_cctgtheta", + "pfcand_mtof", + "pfcand_dndx", + "pfcand_charge", + "pfcand_isMu", + "pfcand_isEl", + "pfcand_isChargedHad", + "pfcand_isGamma", + "pfcand_isNeutralHad", + "pfcand_dxy", + "pfcand_dz", + "pfcand_btagSip2dVal", + "pfcand_btagSip2dSig", + "pfcand_btagSip3dVal", + "pfcand_btagSip3dSig", + "pfcand_btagJetDistVal", + "pfcand_btagJetDistSig", + "pfcand_type" + ], + "var_infos": { + "pfcand_erel_log": { + "median": -1.8002910614013672, + "norm_factor": 1.5911575382168794, + "replace_inf_value": 0, + "lower_bound": -5, + "upper_bound": 5, + "pad": 0 + }, + "pfcand_thetarel": { + "median": 0.34896841645240784, + "norm_factor": 1.623847928023531, + "replace_inf_value": 0, + "lower_bound": -5, + "upper_bound": 5, + "pad": 0 + }, + "pfcand_phirel": { + "median": 0.00031830096850171685, 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