Public
X-ray Fluorescence (XRF) Imaging — Public Tier
(3 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 |
|---|---|---|---|
| excitation_energy_drift | -0.01 – 0.02 | 0.005 | keV |
| detector_resolution | 126.0 – 138.0 | 132.0 | eV |
| matrix_absorption | 0.97 – 1.06 | 1.015 | - |
| beam_spot_size | 0.8 – 1.4 | 1.1 | um |
InverseNet Baseline Scores
Method: CPU_baseline — Mismatch parameter: nominal
Scenario I (Ideal)
13.44 dB
SSIM 0.6187
Scenario II (Mismatch)
11.17 dB
SSIM 0.1544
Scenario III (Oracle)
18.72 dB
SSIM 0.1396
Per-scene breakdown (4 scenes)
| Scene | PSNR I | SSIM I | PSNR II | SSIM II | PSNR III | SSIM III |
|---|---|---|---|---|---|---|
| scene_00 | 13.33 | 0.6172 | 12.65 | 0.1296 | 18.68 | 0.1369 |
| scene_01 | 13.64 | 0.6232 | 9.57 | 0.1826 | 18.81 | 0.1378 |
| scene_02 | 13.41 | 0.6172 | 10.74 | 0.1609 | 18.65 | 0.1450 |
| scene_03 | 13.36 | 0.6172 | 11.71 | 0.1445 | 18.74 | 0.1385 |
Public Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | SpectraFormer + gradient | 0.769 | 31.43 | 0.936 | 0.9 | ✓ Certified | Spectral unmixing transformer, 2024 |
| 2 | XRF-UNet + gradient | 0.733 | 29.06 | 0.901 | 0.91 | ✓ Certified | Anunziata et al., X-Ray Spectrom. 2022 |
| 3 | PnP-BM3D + gradient | 0.666 | 25.98 | 0.831 | 0.87 | ✓ Certified | Danielyan et al., 2012 |
| 4 | FP-Quantify + gradient | 0.571 | 21.82 | 0.682 | 0.9 | ✓ Certified | Sole et al., Spectrochim. Acta B 2007 |
Visible Data Fields
y
H_ideal
spec_ranges
x_true
true_spec
Dataset
Format: HDF5
Scenes: 3
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%