xie_x1andClaude Sonnet 5 2683fd3576 Initial commit: MLXIDDemo, a 12 keV end-to-end walkthrough of the MLXID pipeline ...

MC generation -> pile-up assembly -> CNN vs. classical eta-interpolation
(scored against MC ground truth) -> optional training -> qualitative
inference on real measurement data, self-contained and runnable from a
single conda env (see README.md).

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

2026-08-21 16:50:06 +02:00

..

01_generate_mc_singlephoton.py

Initial commit: MLXIDDemo, a 12 keV end-to-end walkthrough of the MLXID pipeline

2026-08-21 16:50:06 +02:00

02_assemble_pileup_samples.py

Initial commit: MLXIDDemo, a 12 keV end-to-end walkthrough of the MLXID pipeline

2026-08-21 16:50:06 +02:00

03_eval_mc_truth.py

Initial commit: MLXIDDemo, a 12 keV end-to-end walkthrough of the MLXID pipeline

2026-08-21 16:50:06 +02:00

04_train_demo.py

Initial commit: MLXIDDemo, a 12 keV end-to-end walkthrough of the MLXID pipeline

2026-08-21 16:50:06 +02:00

05_infer_measurement.py

Initial commit: MLXIDDemo, a 12 keV end-to-end walkthrough of the MLXID pipeline

2026-08-21 16:50:06 +02:00

prepare_measurement_fallback.py

Initial commit: MLXIDDemo, a 12 keV end-to-end walkthrough of the MLXID pipeline

2026-08-21 16:50:06 +02:00