remove environments

Author: scarlehoff

n3fit/runcards/examples/Basic_feature_scaling.yml

@@ -11,7 +11,7 @@ description: Basic feature scaling
 dataset_inputs:
 - {dataset: SLAC_NC_NOTFIXED_D_EM-F2, frac: 0.75, variant: legacy_dw}
 - {dataset: NMC_NC_NOTFIXED_EM-F2, frac: 0.75, variant: legacy_dw}
-- {dataset: CMS_1JET_8TEV_PTY, frac: 0.75, cfac: [], variant: legacy}
+- {dataset: CMS_1JET_8TEV_PTY, frac: 0.75, cfac: [], variant: legacy_data}
 
 ############################################################
 datacuts:
@@ -21,7 +21,7 @@ datacuts:
 
 ############################################################
 theory:
-  theoryid: 708       # database id
+  theoryid: 41_000_000       # database id
 
 ############################################################
 trvlseed: 1
@@ -75,7 +75,7 @@ fitting:
 positivity:
   posdatasets:
   - {dataset: NNPDF_POS_2P24GEV_F2U, maxlambda: 1e6}        # Positivity Lagrange Multiplier
-  - {dataset: NNPDF_POS_2P24GEV_FLL-19PTS, maxlambda: 1e6}
+  - {dataset: NNPDF_POS_2P24GEV_FLL, maxlambda: 1e6}
 
 ############################################################
 integrability:

n3fit/runcards/examples/Basic_runcard.yml

@@ -2,7 +2,7 @@
 # Configuration file for n3fit
 #
 ############################################################
-description: Basic runcard
+description: Basic runcard with extra options such as debugging and tensorboard
 
 ############################################################
 # frac: training fraction
@@ -11,7 +11,7 @@ description: Basic runcard
 dataset_inputs:
 - {dataset: NMC_NC_NOTFIXED_EM-F2, frac: 0.75, variant: legacy_dw}
 - {dataset: SLAC_NC_NOTFIXED_D_EM-F2, frac: 0.75, variant: legacy_dw}
-- {dataset: ATLAS_Z0J_8TEV_PT-M, frac: 0.75, cfac: [], variant: legacy_10}
+- {dataset: ATLAS_Z0J_8TEV_PT-M, frac: 0.75 }
 
 ############################################################
 datacuts:
@@ -21,7 +21,7 @@ datacuts:
 
 ############################################################
 theory:
-  theoryid: 708       # database id
+  theoryid: 41_000_000       # database id
 
 parameters: # This defines the parameter dictionary that is passed to the Model Trainer
   nodes_per_layer: [15, 10, 8]
@@ -68,7 +68,7 @@ fitting:
 positivity:
   posdatasets:
   - {dataset: NNPDF_POS_2P24GEV_F2U, maxlambda: 1e6}        # Positivity Lagrange Multiplier
-  - {dataset: NNPDF_POS_2P24GEV_FLL-19PTS, maxlambda: 1e6}
+  - {dataset: NNPDF_POS_2P24GEV_FLL, maxlambda: 1e6}
   - {dataset: NNPDF_POS_2P24GEV_XGL, maxlambda: 1e6}
 
 ############################################################

n3fit/runcards/examples/DIS_diagonal_l2reg_example.yml

@@ -19,15 +19,15 @@ dataset_inputs:
 - {dataset: CHORUS_CC_NOTFIXED_PB_NB-SIGMARED, frac: 0.75, variant: legacy_dw}
 - {dataset: NUTEV_CC_NOTFIXED_FE_NU-SIGMARED, cfac: [MAS], frac: 0.75, variant: legacy_dw}
 - {dataset: NUTEV_CC_NOTFIXED_FE_NB-SIGMARED, cfac: [MAS], frac: 0.75, variant: legacy_dw}
-- {dataset: HERA_NC_318GEV_EM-SIGMARED, frac: 0.75, variant: legacy}
-- {dataset: HERA_NC_225GEV_EP-SIGMARED, frac: 0.75, variant: legacy}
-- {dataset: HERA_NC_251GEV_EP-SIGMARED, frac: 0.75, variant: legacy}
-- {dataset: HERA_NC_300GEV_EP-SIGMARED, frac: 0.75, variant: legacy}
-- {dataset: HERA_NC_318GEV_EP-SIGMARED, frac: 0.75, variant: legacy}
-- {dataset: HERA_CC_318GEV_EM-SIGMARED, frac: 0.75, variant: legacy}
-- {dataset: HERA_CC_318GEV_EP-SIGMARED, frac: 0.75, variant: legacy}
-- {dataset: HERA_NC_318GEV_EAVG_CHARM-SIGMARED, frac: 0.75, variant: legacy}
-- {dataset: HERA_NC_318GEV_EAVG_BOTTOM-SIGMARED, frac: 0.75, variant: legacy}
+- {dataset: HERA_NC_318GEV_EM-SIGMARED, frac: 0.75}
+- {dataset: HERA_NC_225GEV_EP-SIGMARED, frac: 0.75}
+- {dataset: HERA_NC_251GEV_EP-SIGMARED, frac: 0.75}
+- {dataset: HERA_NC_300GEV_EP-SIGMARED, frac: 0.75}
+- {dataset: HERA_NC_318GEV_EP-SIGMARED, frac: 0.75}
+- {dataset: HERA_CC_318GEV_EM-SIGMARED, frac: 0.75}
+- {dataset: HERA_CC_318GEV_EP-SIGMARED, frac: 0.75}
+- {dataset: HERA_NC_318GEV_EAVG_CHARM-SIGMARED, frac: 0.75}
+- {dataset: HERA_NC_318GEV_EAVG_BOTTOM-SIGMARED, frac: 0.75}
 
 ############################################################
 datacuts:
@@ -37,7 +37,7 @@ datacuts:
 
 ############################################################
 theory:
-  theoryid: 708        # database id
+  theoryid: 41_000_000        # database id
 
 ############################################################
 trvlseed: 1
@@ -67,10 +67,6 @@ parameters: # This defines the parameter dictionary that is passed to the Model
   regularizer_args: {l1: 0.0, l2: 1.0}
 
 fitting:
-  # NN23(QED) = sng=0,g=1,v=2,t3=3,ds=4,sp=5,sm=6,(pht=7)
-  # EVOL(QED) = sng=0,g=1,v=2,v3=3,v8=4,t3=5,t8=6,(pht=7)
-  # EVOLS(QED)= sng=0,g=1,v=2,v8=4,t3=4,t8=5,ds=6,(pht=7)
-  # FLVR(QED) = g=0, u=1, ubar=2, d=3, dbar=4, s=5, sbar=6, (pht=7)
   fitbasis: NN31IC # EVOL (7), EVOLQED (8), etc.
   basis:
       # remeber to change the name of PDF accordingly with fitbasis
@@ -90,7 +86,7 @@ positivity:
   - {dataset: NNPDF_POS_2P24GEV_F2U, maxlambda: 1e6}        # Positivity Lagrange Multiplier
   - {dataset: NNPDF_POS_2P24GEV_F2D, maxlambda: 1e6}
   - {dataset: NNPDF_POS_2P24GEV_F2S, maxlambda: 1e6}
-  - {dataset: NNPDF_POS_2P24GEV_FLL-19PTS, maxlambda: 1e6}
+  - {dataset: NNPDF_POS_2P24GEV_FLL, maxlambda: 1e6}
   - {dataset: NNPDF_POS_2P24GEV_DYU, maxlambda: 1e10}
   - {dataset: NNPDF_POS_2P24GEV_DYD, maxlambda: 1e10}
   - {dataset: NNPDF_POS_2P24GEV_DYS, maxlambda: 1e10}

n3fit/runcards/examples/Fit_with_theory_covmat.yml

@@ -2,7 +2,7 @@
 # Configuration file for n3fit
 #
 ##########################################################################################
-description: "NNPDF4.0 methodology fit with theory covariance matrix (9pt prescription) like NNPDF31_nlo_as_0118_scalecov_9pt"
+description: "NNPDF4.0 methodology fit with theory covariance matrix (with both 3 and 9pt prescription at the same time to showcase the composition of theory covmats)"
 
 ##########################################################################################
 # frac: training fraction
@@ -11,24 +11,24 @@ description: "NNPDF4.0 methodology fit with theory covariance matrix (9pt prescr
 dataset_inputs:
 - {dataset: NMC_NC_NOTFIXED_EM-F2, frac: 0.75, variant: legacy_dw}
 - {dataset: SLAC_NC_NOTFIXED_D_EM-F2, frac: 0.75, variant: legacy_dw}
-- {dataset: ATLAS_Z0J_8TEV_PT-M, frac: 0.75, cfac: [], variant: legacy_10}
+- {dataset: ATLAS_Z0J_8TEV_PT-Y, frac: 0.75 }
 
 ############################################################
 datacuts:
-  t0pdfset: 190310-tg-nlo-global     # PDF set to generate t0 covmat
+  t0pdfset: NNPDF40_nlo_as_01180     # PDF set to generate t0 covmat
   q2min: 13.96                       # Q2 minimum
   w2min: 12.5                        # W2 minimum
   use_cuts: fromintersection
   cuts_intersection_spec:
-  - theoryid: 708
-  - theoryid: 701
+  - theoryid: 40_000_000
+  - theoryid: 701 #NLO 4.0
 
 ############################################################
 theory:
-  theoryid: 708        # database id
+  theoryid: 40_000_000        # database id
 theorycovmatconfig:
   point_prescriptions: ["9 point", "3 point"]
-  pdf: NNPDF31_nlo_as_0118
+  pdf: NNPDF40_nnlo_as_01180
   use_thcovmat_in_fitting: true
   use_thcovmat_in_sampling: true