Initial commit: grid-based multi-photon reconstruction

Code, configs, charge LUTs, best.pth and evaluation records for each
training run, the knife-edge / Siemens-star / XRF notebooks with
outputs, and the overnight run reports. Epoch checkpoints, inference
results and HTML exports stay local (see .gitignore).

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

Configs/train_grid_poly_Moench014.yaml

@@ -0,0 +1,56 @@
+# GridBased training -- polychromatic 5-30 keV, MOENCH014 @150 V
+#
+# Same architecture and the same losses as the 12 keV configuration; what
+# changes is that the energy head now carries information, so it gets a real
+# weight and a scale that is not tied to a beam energy.
+
+experiment:
+  name: "poly5to30keV_Moench014"
+  results_dir: "Results"
+
+data:
+  folder: /mnt/sls_det_storage/moench_data/MLXID/Samples/GridBased/poly5to30keV_Moench014_150V
+  train_shards: [0, 11]
+  val_shards: [0, 1]
+  max_train_frames: null
+  max_val_frames: 8000
+  input_scale: 15.0            # keV, mid-range; frames are divided by this
+  energy_scale: 15.0           # keV, the energy target is E / energy_scale
+  augment: true
+  batch_size_train: 256
+  batch_size_val: 512
+  num_workers: 8
+
+model:
+  channels: [32, 64, 128, 128] # still 4 x conv3x3, so R = 4 px; wider, because
+                               # the cloud size now has to be disentangled from
+                               # the energy rather than mapping straight to depth
+  predict_energy: true
+  norm: "none"
+  prior_prob: 0.01
+
+loss:
+  w_obj: 1.0
+  w_off: 1.0
+  w_ene: 1.0                   # 0.1 at a single energy, where the head learned a
+                               # constant; here it carries the spectrum
+  focal_alpha: 0.25
+  focal_gamma: 2.0
+  smooth_l1_beta_offset: 0.01
+  smooth_l1_beta_energy: 0.03  # ~ the 0.39 keV noise floor of a 3x3 sum, / 15 keV
+
+training:
+  epochs: 300
+  lr: 1.0e-3
+  weight_decay: 0.0
+  scheduler_factor: 0.5
+  scheduler_patience: 6
+  amp: true
+  seed: 0
+  checkpoint_epochs: [50, 100, 150, 200, 250, 300]
+
+eval:
+  threshold: 0.3
+  merge_distance: 0.1
+  match_radius: 1.0
+  pixel_size_um: 25.0