Dev

Neutron Diffraction — Dev Tier

(5 scenes)

Blind evaluation tier — no ground truth available.

What you get

Measurements (y), ideal forward operator (H), and spec ranges only.

How to use

Apply your pipeline from the Public tier. Use consistency as self-check.

What to submit

Reconstructed signals and corrected spec. Scored server-side.

Parameter Specifications

🔒

True spec hidden — estimate parameters from spec ranges below.

Parameter Spec Range Unit
wavelength_calibration -0.024 – 0.036 -
absorption_correction -2.4 – 3.6 -
texture/preferred_orientation -4.8 – 7.2 -
tof_frame_overlap -1.2 – 1.8 -

Dev Tier Leaderboard

# Method Score PSNR SSIM Consistency Trust Source
1 DiffFormer + gradient 0.706 27.66 0.873 0.9 ✓ Certified Diffraction pattern transformer, 2024
2 Le Bail Fit + gradient 0.642 25.03 0.803 0.85 ✓ Certified Le Bail et al., Mater. Res. Bull. 1988
3 NeutronNet + gradient 0.590 23.47 0.749 0.78 ✓ Certified Neutron diffraction DL, 2023
4 Rietveld-GSAS + gradient 0.524 20.52 0.623 0.85 ✓ Certified Rietveld, J. Appl. Cryst. 1969

Visible Data Fields

y H_ideal spec_ranges

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%
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