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v0.5.0

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@GernotMaier GernotMaier released this 25 Jan 15:49
· 111 commits to main since this release
75047c5

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

Changelog

New Features

  • Introduces telescope type handling for CTAO simulations by updating the stereo reconstruction pipeline to work with telescope-dependent variables across different telescope configurations. The key architectural change is moving from training separate models per telescope multiplicity (2, 3, 4 telescopes) to a single unified model that handles all multiplicities together. This is a major change applicable for both stereo and classification tasks. (#29)
  • Add a telescope presence flag (tel_active) and implement combined weighting for both energy and telescope multiplicity in the training process. (#34)
  • Introduced sorting of telescope-dependent variables by mirror area (as proxy to telescope type) and size. (#38)
  • Add CTAO-specific support for telescope indexing/sorting and geomagnetic angle calculation by introducing an observatory configuration, new geomagnetic field presets, and updated sorting behavior (mirror area first, then size). (#39)
  • Reduces reliance on elevation/azimuth-derived coordinates and expands per-telescope feature set by adding channel-count features. (#41)

Maintenance

  • Migrate the data loading pipeline from pandas to Awkward Array for improved performance when processing the ROOT files. Enable parallel decompression through ThreadPoolExecutor (use --max_cores argument). (#31)

What's Changed

New Contributors

  • @Copilot made their first contribution in #37

Full Changelog: v0.4.0...v0.5.0