Hidden
Small-Angle X-ray Scattering (SAXS) — Hidden Tier
(5 scenes)Fully blind server-side evaluation — no data download.
What you get
No data downloadable. Algorithm runs server-side on hidden measurements.
How to use
Package algorithm as Docker container / Python script. Submit via link.
What to submit
Containerized algorithm accepting y + H, outputting x_hat + corrected spec.
Parameter Specifications
🔒
True spec hidden — blind evaluation, only ranges available.
| Parameter | Spec Range | Unit |
|---|---|---|
| sample_detector_distance | 998.6 – 1004.6 | mm |
| beam_center_x | -0.28 – 0.92 | px |
| beam_center_y | -0.28 – 0.92 | px |
| wavelength_error | -0.00014 – 0.00046 | nm |
Hidden Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | ScatterFormer + gradient | 0.637 | 25.45 | 0.816 | 0.78 | ✓ Certified | Scattering analysis transformer, 2024 |
| 2 | McSAS + gradient | 0.624 | 24.6 | 0.789 | 0.81 | ✓ Certified | Bressler et al., J. Appl. Cryst. 2015 |
| 3 | ScatterNet + gradient | 0.560 | 22.36 | 0.705 | 0.77 | ✓ Certified | Franke et al., Biophys. J. 2018 |
| 4 | PyFAI-Integrate + gradient | 0.523 | 20.32 | 0.614 | 0.87 | ✓ Certified | Ashiotis et al., J. Appl. Cryst. 2015 |
Dataset
Scenes: 5
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%