Hidden

Event Horizon Telescope (EHT) Imaging — Hidden Tier

(3 scenes)

Fully blind server-side evaluation — no data download.

What you get

No data downloadable. Algorithm runs server-side on hidden measurements.

How to use

Package algorithm as Docker container / Python script. Submit via link.

What to submit

Containerized algorithm accepting y + H, outputting x_hat + corrected spec.

Parameter Specifications

🔒

True spec hidden — blind evaluation, only ranges available.

Parameter Spec Range Unit
atmospheric_opacity_(tau) 0.044 – 0.284 nepers
station_gain_calibration -1.4 – 4.6 -
uv_coverage_sparsity -0.15 – 0.15 -
interstellar_scattering -1.4 – 4.6 uasbroadening

Hidden Tier Leaderboard

# Method Score PSNR SSIM Consistency Trust Source
1 DiffVLBI + gradient 0.723 30.13 0.919 0.77 ✓ Certified Gao et al., NeurIPS 2024
2 RadioFormer + gradient 0.711 28.72 0.895 0.83 ✓ Certified Gheller & Vazza, MNRAS 2023
3 PhysVLBI + gradient 0.680 27.46 0.869 0.79 ✓ Certified He et al., ApJ 2024
4 TransVLBI + gradient 0.598 23.14 0.737 0.86 ✓ Certified Feng et al., A&A 2023
5 SMILI + gradient 0.522 20.23 0.61 0.88 ✓ Certified Akiyama et al., ApJ 2017
6 RESOLVE + gradient 0.445 18.25 0.512 0.79 ✓ Certified Junklewitz et al., A&A 2016
7 eht-imaging + gradient 0.443 18.04 0.502 0.81 ✓ Certified Chael et al., ApJ 2018
8 CLEAN-VLBI + gradient 0.424 17.28 0.464 0.83 ✓ Certified Hogbom, A&AS 1974
9 MEM-VLBI + gradient 0.299 13.28 0.28 0.77 ✓ Certified Narayan & Nityananda, ARA&A 1986

Dataset

Scenes: 3

Scoring Formula

0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)

PSNR: 40% SSIM: 40% Consistency: 20%
Back to Event Horizon Telescope (EHT) Imaging