G/H evaluation - interpolation in e and z

[GernotMaier]

No description provided.

[Copilot]

Pull request overview

This PR adds energy-bin interpolation support to the gamma/hadron classification application pipeline and strengthens the cut-optimization utilities by validating/interpolating rate/efficiency surfaces over energy and zenith (via 1/cos(ze) or cos(ze)).

Changes:

• Add energy_interpolation_bins() to compute (e_bin_lo, e_bin_hi, e_alpha) per event for linear interpolation between neighboring energy-bin models.
• Update classification model application to interpolate probabilities and efficiency-threshold cuts between adjacent energy-bin models.
• Add unit tests covering rate-grid interpolation helpers, efficiency-surface interpolation, spectral reweighting, and classification apply interpolation; add astropy to package dependencies.

Reviewed changes

Copilot reviewed 6 out of 7 changed files in this pull request and generated no comments.

Show a summary per file

File	Description
tests/test_optimize_classification.py	Adds unit tests for optimize-classification interpolation helpers and spectral reweighting.
tests/test_classification_apply_interpolation.py	Adds tests for energy interpolation bin selection and interpolated classification apply behavior.
src/eventdisplay_ml/scripts/optimize_classification.py	Updates Crab spectral index constant used for reweighting; provides helpers exercised by new tests.
src/eventdisplay_ml/models.py	Applies classification models using (e_bin_lo, e_bin_hi, e_alpha) and interpolates probabilities/thresholds across bins.
src/eventdisplay_ml/data_processing.py	Introduces energy_interpolation_bins() helper to compute neighbor bins + interpolation weights.
pyproject.toml	Adds astropy to runtime dependencies (used by optimize/plot scripts).
.gitignore	Ignores .vscode/ and tmp_testing* artifacts.