# configs/infer_1photon.yaml
experiment:
  name: "FlatField_3filters_pos0"  # options: SiemenStarLowerLeft, SiemenStarLowerRight
  task: "3Photon" 
  output_base: "./InferenceResults"

data:
  sample_folder: "/home/xie_x1/MLXID/DataProcess/Samples"
  names:
    KnifeEdge_3filters_pos0:
      file_pattern: "2603MaxIV_Edge3Filters_pos0_12keV/3Photon_CS9_chunk{}.h5" ### 12 keV
      NX: 101
      NY: 101
      file_range: [0, 16] # [0, 16)
      roi: [0, 101, 0, 101]
    FlatField_3filters_pos0:
      file_pattern: "2603MaxIV_FlatField3Filters_pos0_12keV/3Photon_CS9_chunk{}.h5" ### 12 keV
      NX: 101
      NY: 101
      file_range: [0, 16] # [0, 16)
      roi: [0, 101, 0, 101]
    KnifeEdge_2filters:
      file_pattern: "2603MaxIV_Edge2Filters_12keV/3Photon_CS9_chunk{}.h5" ### 12 keV
      NX: 101
      NY: 101
      file_range: [0, 16] # [0, 16)
      roi: [0, 101, 0, 101]
    FlatField_2filters:
      file_pattern: "2603MaxIV_Flat2Filters_12keV/3Photon_CS9_chunk{}.h5" ### 12 keV
      NX: 101
      NY: 101
      file_range: [0, 16] # [0, 16)
      roi: [0, 101, 0, 101]
    Uniformity_test:
      file_pattern: "2603MaxIV_Flat2Filters_12keV/3Photon_CS9_chunk{}.h5" ### 12 keV
      NX: 101
      NY: 101
      file_range: [0, 1]
      roi: [0, 101, 0, 101]
  
  energy: 12  # keV
  normalize: false # for inference dataloaders
  batch_size: 8192
  num_workers: 16

model:
  base_dir: "/home/xie_x1/MLXID/DeepLearning/Results/"
  experiment_name: "260529_3ph_12keV_v260529_01"
  name: "triplePhoton260529_12keV_E1000.pth"

inference:
  binning_factor: 10
  chunk_size: 16  # 
  num_aug_ops: 1  # augX8 not implemented for 3-photon inference yet