Public

Neutron Diffraction — 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
wavelength_calibration -0.02 – 0.04 0.01 -
absorption_correction -2.0 – 4.0 1.0 -
texture/preferred_orientation -4.0 – 8.0 2.0 -
tof_frame_overlap -1.0 – 2.0 0.5 -

InverseNet Baseline Scores

Method: CPU_baseline — Mismatch parameter: nominal

Scenario I (Ideal)

33.04 dB

SSIM 0.8313

Scenario II (Mismatch)

22.80 dB

SSIM 0.4030

Scenario III (Oracle)

24.56 dB

SSIM 0.4982

Per-scene breakdown (4 scenes)
Scene PSNR I SSIM I PSNR II SSIM II PSNR III SSIM III
scene_00 32.90 0.8330 22.40 0.4133 24.52 0.5154
scene_01 32.93 0.8361 22.59 0.4422 24.50 0.5349
scene_02 33.03 0.8183 23.28 0.3763 24.65 0.4644
scene_03 33.32 0.8377 22.94 0.3802 24.59 0.4779

Public Tier Leaderboard

# Method Score PSNR SSIM Consistency Trust Source
1 DiffFormer + gradient 0.747 30.12 0.919 0.89 ✓ Certified Diffraction pattern transformer, 2024
2 NeutronNet + gradient 0.735 28.74 0.895 0.95 ✓ Certified Neutron diffraction DL, 2023
3 Le Bail Fit + gradient 0.633 24.39 0.782 0.88 ✓ Certified Le Bail et al., Mater. Res. Bull. 1988
4 Rietveld-GSAS + gradient 0.575 21.74 0.679 0.93 ✓ Certified Rietveld, J. Appl. Cryst. 1969

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%
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