# GridBased frame generation -- 12 keV, MOENCH040 @150 V (WP1.2, stamp-reuse variant) # # Frames are composed from the existing noiseless single-photon MC stamps # (McGeneration output). Charge superposition is linear, so pile-up frames can # be assembled by summing stamps; detector noise is applied once per frame. meta: energy: 12 # keV, beam energy of the stamp library sensor: Moench040 hv: 150 # V pixel_size_um: 25 sensor_thickness_um: 650 stamps: folder: /mnt/sls_det_storage/moench_data/MLXID/Samples/Simulation/Moench040 pattern: "12keV_Moench040_150V_{}.npz" train_files: [0, 11] # inclusive index range -> 12 shards val_files: [12, 13] test_files: [14, 15] frame: size: 32 # training frame side (px). Fully-convolutional # model => inference runs on full 400x400 frames. margin: 4 # ring (px) over which photons are also thrown so # that out-of-frame photons leak charge in noise: pixel_keV: 0.13 # per-pixel Gaussian, matches the iWoRiD study common_mode_row_keV: 0.0 # WP1.3: switch on once measured common_mode_col_keV: 0.0 edge_augmentation: fraction: 0.08 # fraction of frames containing a sensor boundary output: folder: /mnt/sls_det_storage/moench_data/MLXID/Samples/GridBased/12keV_Moench040_150V splits: train: frames_per_shard: 200_000 # 12 shards -> 2.4M frames, ~60M photons occupancy: {mode: loguniform, min: 0.002, max: 0.10} val: frames_per_shard: 80_000 occupancy: {mode: loguniform, min: 0.002, max: 0.10} test: frames_per_shard: 80_000 occupancy: {mode: loguniform, min: 0.002, max: 0.10} # fixed-occupancy sets, for scanning performance vs flux eval_scan: # 20 % and 50 % are far outside the 0.2-10 % training range on purpose: # they are where the cluster chains stop working and the grid chain has to # be shown extrapolating. Appended, never reordered -- the per-point seed # is base_seed + 9000 + index, so inserting a point would reshuffle the # existing ones. occupancies: [0.005, 0.01, 0.02, 0.05, 0.10, 0.20, 0.50] frames_each: 8_000 stamp_files: [14, 15] edge_fraction: 0.0 runtime: n_workers: 16 seed: 20260830