Add eta interpolation; code optimization

Co-authored-by: Copilot <copilot@github.com>

Configs/infer_1photon.yaml

@@ -1,6 +1,6 @@
 # configs/infer_1photon.yaml
 experiment:
-  name: "FlatField_2filters"  # options: SiemenStarLowerLeft, SiemenStarLowerRight
+  name: "KnifeEdge_3filters_pos0"  # options: SiemenStarLowerLeft, SiemenStarLowerRight
   task: "1Photon" 
   output_base: "./InferenceResults"
 
@@ -43,6 +43,18 @@ data:
       NY: 101
       file_range: [0, 16] # [0, 16)
       roi: [0, 101, 0, 101]
+    KnifeEdge_1filters:
+      file_pattern: "2603MaxIV_Edge1Filters_12keV/1Photon_CS3_chunk{}.h5" ### 12 keV
+      NX: 101
+      NY: 101
+      file_range: [0, 16] # [0, 16)
+      roi: [0, 101, 0, 101]
+    FlatField_1filters:
+      file_pattern: "2603MaxIV_Flat1Filters_12keV/1Photon_CS3_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/1Photon_CS3_chunk{}.h5" ### 12 keV
       NX: 101
@@ -56,10 +68,10 @@ data:
   num_workers: 16
 
 model:
-  base_dir: "/home/xie_x1/MLXID/DeepLearning/Results/"
+  base_dir: "/home/xie_x1/MLXID/DeepLearning/Results/1ph/"
   # experiment_name: "260408_1ph_12keV_v251022_03"
   # name: "singlePhoton251022_12keV_Noise0.13keV_E150_aug1.pth" ### std/mean = 0.033
-  experiment_name: "260512_1ph_12keV_v260511_06"
+  experiment_name: "260512_12keV_v260511_06"
   name: "singlePhoton260511_12keV_Noise0.13keV_E500_aug1.pth" ### std/mean = 0.025
 
 inference:

Configs/infer_2photon.yaml

@@ -77,10 +77,10 @@ data:
   num_workers: 16
 
 model:
-  base_dir: "/home/xie_x1/MLXID/DeepLearning/Results/"
+  base_dir: "/home/xie_x1/MLXID/DeepLearning/Results/2ph"
 
-  experiment_name: "260609_2ph_12keV_v260608_04"
-  name: "doublePhoton260608_12keV_Noise0.13keV_E500.pth"
+  experiment_name: "260610_12keV_v260610_01"
+  name: "doublePhoton260610_12keV_Noise0.13keV_E500.pth"
 
 inference:
   binning_factor: 10