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@GernotMaier GernotMaier released this 23 May 08:38
· 66 commits to main since this release
v3.0.0
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Learn about vigilant mode.

Eventdisplay-ML - a toolkit to interface and run machine learning methods together with the Eventdisplay software package for gamma-ray astronomy data analysis.

Stereo (direction and energy) reconstruction tested and validated on both VERITAS and CTAO simulations plus VERITAS data.

Compatible with:

  • Eventdisplay for CTAO simulations v5.18.1
  • Eventdisplay for VERITAS v4.92 (not released yet)

New Features

  • Add script to optimize gamma/hadron cut value using Li & Ma significance. Introduce fine binning for cut values and allow to take different source strengths and source spectral shapes into account. (#56)
  • Add energy-bin interpolation support to the gamma/hadron classification application pipeline and improve the cut-optimization utilities by validating/interpolating rate/efficiency surfaces over energy and zenith (via 1/cos(ze) or cos(ze)). Add SHAP summary for gamma/hadron classification. (#57)
  • Add TMVA-style gamma/hadron separation with the same features as TMVA BDT classification analysis. (#58)
  • Improve classification hyperparameters with a focus on robustness, and add user-facing plotting CLI options for selecting --model_dir/--output_dir and --energy-bin. (#60)
  • Add calculation and plotting of zenith-angle dependent signal and background efficiencies (classification mode). (#61)
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