Public
Neutron Diffraction — Public Tier
(5 scenes)Full-access development tier with all data visible.
What you get
Measurements (y), ideal forward operator (H), spec ranges, ground truth (x_true), and true mismatch spec.
How to use
Load HDF5 → compare reconstruction vs x_true → check consistency → iterate.
What to submit
Reconstructed signals (x_hat) and corrected spec as HDF5.
Parameter Specifications
✓
True spec visible — use these exact values for Scenario III oracle reconstruction.
| Parameter | Spec Range | True Value | Unit |
|---|---|---|---|
| wavelength_calibration | -0.02 – 0.04 | 0.01 | - |
| absorption_correction | -2.0 – 4.0 | 1.0 | - |
| texture/preferred_orientation | -4.0 – 8.0 | 2.0 | - |
| tof_frame_overlap | -1.0 – 2.0 | 0.5 | - |
InverseNet Baseline Scores
Method: CPU_baseline — Mismatch parameter: nominal
Scenario I (Ideal)
33.04 dB
SSIM 0.8313
Scenario II (Mismatch)
22.80 dB
SSIM 0.4030
Scenario III (Oracle)
24.56 dB
SSIM 0.4982
Per-scene breakdown (4 scenes)
| Scene | PSNR I | SSIM I | PSNR II | SSIM II | PSNR III | SSIM III |
|---|---|---|---|---|---|---|
| scene_00 | 32.90 | 0.8330 | 22.40 | 0.4133 | 24.52 | 0.5154 |
| scene_01 | 32.93 | 0.8361 | 22.59 | 0.4422 | 24.50 | 0.5349 |
| scene_02 | 33.03 | 0.8183 | 23.28 | 0.3763 | 24.65 | 0.4644 |
| scene_03 | 33.32 | 0.8377 | 22.94 | 0.3802 | 24.59 | 0.4779 |
Public Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | DiffFormer + gradient | 0.747 | 30.12 | 0.919 | 0.89 | ✓ Certified | Diffraction pattern transformer, 2024 |
| 2 | NeutronNet + gradient | 0.735 | 28.74 | 0.895 | 0.95 | ✓ Certified | Neutron diffraction DL, 2023 |
| 3 | Le Bail Fit + gradient | 0.633 | 24.39 | 0.782 | 0.88 | ✓ Certified | Le Bail et al., Mater. Res. Bull. 1988 |
| 4 | Rietveld-GSAS + gradient | 0.575 | 21.74 | 0.679 | 0.93 | ✓ Certified | Rietveld, J. Appl. Cryst. 1969 |
Visible Data Fields
y
H_ideal
spec_ranges
x_true
true_spec
Dataset
Format: HDF5
Scenes: 5
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%