Public
Wide-Angle X-ray Scattering (WAXS) — 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 |
|---|---|---|---|
| detector_distance_error | -0.2 – 0.4 | 0.1 | - |
| beam_center_error | -0.6 – 1.2 | 0.3 | px |
| polarization_correction | 0.96 – 1.02 | 0.99 | - |
| air_scatter_background | -1.0 – 2.0 | 0.5 | - |
InverseNet Baseline Scores
Method: CPU_baseline — Mismatch parameter: nominal
Scenario I (Ideal)
18.40 dB
SSIM 0.3184
Scenario II (Mismatch)
18.40 dB
SSIM 0.3241
Scenario III (Oracle)
23.39 dB
SSIM 0.7171
Per-scene breakdown (4 scenes)
| Scene | PSNR I | SSIM I | PSNR II | SSIM II | PSNR III | SSIM III |
|---|---|---|---|---|---|---|
| scene_00 | 17.46 | 0.3125 | 17.46 | 0.3174 | 22.44 | 0.7134 |
| scene_01 | 17.16 | 0.3063 | 17.15 | 0.3121 | 22.13 | 0.7055 |
| scene_02 | 19.64 | 0.3404 | 19.64 | 0.3448 | 24.65 | 0.7295 |
| scene_03 | 19.34 | 0.3145 | 19.34 | 0.3221 | 24.35 | 0.7199 |
Public Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | CrystalFormer + gradient | 0.754 | 30.73 | 0.927 | 0.88 | ✓ Certified | Diffraction pattern transformer, 2024 |
| 2 | WAXS-Net + gradient | 0.749 | 29.74 | 0.913 | 0.93 | ✓ Certified | WAXS pattern analysis DL, 2023 |
| 3 | Rietveld-WAXS + gradient | 0.673 | 25.73 | 0.824 | 0.93 | ✓ Certified | Rietveld, J. Appl. Cryst. 1969 |
| 4 | PyFAI-Integrate + gradient | 0.546 | 20.91 | 0.642 | 0.9 | ✓ Certified | Ashiotis et al., J. Appl. Cryst. 2015 |
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%