Dev

Secondary Ion Mass Spectrometry (SIMS) Imaging — 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
mass_calibration_drift -1.2 – 1.8 ppm
matrix_effect_(sputter_yield) -12.0 – 18.0 -
crater_edge_effect -2.4 – 3.6 -
charging_(insulating_samples) -48.0 – 72.0 V

Dev Tier Leaderboard

# Method Score PSNR SSIM Consistency Trust Source
1 U-Net-Spectra + gradient 0.649 25.01 0.803 0.89 ✓ Certified Spectral U-Net variant
2 PINN-Spectra + gradient 0.643 25.44 0.816 0.81 ✓ Certified Physics-informed neural network
3 PnP-DnCNN + gradient 0.634 24.78 0.795 0.84 ✓ Certified Zhang et al., 2017
4 CDAE + gradient 0.614 23.94 0.766 0.84 ✓ Certified Zhang et al., Sensors 2024
5 DiffusionSpectra + gradient 0.611 23.5 0.75 0.88 ✓ Certified Zhang et al., 2024
6 ScoreSpectra + gradient 0.605 23.89 0.765 0.8 ✓ Certified Wei et al., 2025
7 Cascade-UNet + gradient 0.599 23.17 0.738 0.86 ✓ Certified Physics-informed UNet, 2025
8 SpectraFormer + gradient 0.574 22.16 0.697 0.87 ✓ Certified Spectroscopy transformer, 2024
9 Baseline Correction + gradient 0.547 21.67 0.676 0.8 ✓ Certified Polynomial fitting baseline
10 SG-ALS + gradient 0.544 21.15 0.652 0.86 ✓ Certified Savitzky-Golay + ALS baseline
11 SVD + gradient 0.502 20.24 0.61 0.78 ✓ Certified Singular Value Decomposition

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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