Hidden
Neutron Diffraction — 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 |
|---|---|---|
| wavelength_calibration | -0.014 – 0.046 | - |
| absorption_correction | -1.4 – 4.6 | - |
| texture/preferred_orientation | -2.8 – 9.2 | - |
| tof_frame_overlap | -0.7 – 2.3 | - |
Hidden Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | DiffFormer + gradient | 0.621 | 24.99 | 0.802 | 0.75 | ✓ Certified | Diffraction pattern transformer, 2024 |
| 2 | Le Bail Fit + gradient | 0.580 | 23.31 | 0.743 | 0.75 | ✓ Certified | Le Bail et al., Mater. Res. Bull. 1988 |
| 3 | NeutronNet + gradient | 0.575 | 22.12 | 0.695 | 0.88 | ✓ Certified | Neutron diffraction DL, 2023 |
| 4 | Rietveld-GSAS + gradient | 0.443 | 18.45 | 0.522 | 0.75 | ✓ Certified | Rietveld, J. Appl. Cryst. 1969 |
Dataset
Scenes: 5
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%