Dev

X-ray Fluorescence Tomography — 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
self_absorption_correction -7.2 – 10.8 -
rotation_axis_offset -0.72 – 1.08 px
fluorescence_yield_error -2.4 – 3.6 -
dead_time_at_high_count_rate -2.4 – 3.6 -

Dev Tier Leaderboard

# Method Score PSNR SSIM Consistency Trust Source
1 CalibFormer + gradient 0.707 27.74 0.875 0.9 ✓ Certified Transformer calibration, 2024
2 MassSpecFormer + gradient 0.657 25.65 0.822 0.86 ✓ Certified Mass spectrometry transformer, 2024
3 Instrument-CNN + gradient 0.639 25.28 0.811 0.81 ✓ Certified Instrument-specific CNN
4 ResNet-Calib + gradient 0.629 24.42 0.783 0.86 ✓ Certified ResNet for calibration, 2022
5 DiffusionInstrumentation + gradient 0.622 24.11 0.772 0.86 ✓ Certified Zhang et al., 2024
6 Calibration-Lookup + gradient 0.620 23.92 0.766 0.87 ✓ Certified Look-up table calibration
7 Peak Fitting + gradient 0.620 24.17 0.775 0.84 ✓ Certified Gaussian peak fitting
8 PnP-BM3D + gradient 0.594 23.46 0.749 0.8 ✓ Certified Danielyan et al., 2012
9 Deconv + gradient 0.549 21.73 0.678 0.8 ✓ Certified Analytical baseline
10 PnP-NLM + gradient 0.508 19.87 0.592 0.86 ✓ Certified Non-local means filter
11 ScoreInstrumentation + gradient 0.461 18.29 0.514 0.86 ✓ Certified Wei et al., 2025

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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