Public
Small-Angle X-ray Scattering (SAXS) — 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 |
|---|---|---|---|
| sample_detector_distance | 998.0 – 1004.0 | 1001.0 | mm |
| beam_center_x | -0.4 – 0.8 | 0.2 | px |
| beam_center_y | -0.4 – 0.8 | 0.2 | px |
| wavelength_error | -0.0002 – 0.0004 | 0.0001 | nm |
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 0.3242
Scenario III (Oracle)
23.39 dB
SSIM 0.7172
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 | 0.3176 | 22.43 | 0.7138 |
| scene_01 | 17.16 | 0.3063 | 17.16 | 0.3121 | 22.13 | 0.7054 |
| scene_02 | 19.64 | 0.3404 | 19.64 | 0.3450 | 24.65 | 0.7297 |
| 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 | ScatterFormer + gradient | 0.765 | 31.7 | 0.939 | 0.86 | ✓ Certified | Scattering analysis transformer, 2024 |
| 2 | ScatterNet + gradient | 0.757 | 30.41 | 0.923 | 0.92 | ✓ Certified | Franke et al., Biophys. J. 2018 |
| 3 | McSAS + gradient | 0.642 | 24.53 | 0.787 | 0.91 | ✓ Certified | Bressler et al., J. Appl. Cryst. 2015 |
| 4 | PyFAI-Integrate + gradient | 0.565 | 21.73 | 0.678 | 0.88 | ✓ 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%