Public
Event Horizon Telescope (EHT) 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 |
|---|---|---|---|
| atmospheric_opacity_(tau) | 0.02 – 0.26 | 0.14 | nepers |
| station_gain_calibration | -2.0 – 4.0 | 1.0 | - |
| uv_coverage_sparsity | -0.15 – 0.15 | 0.0 | - |
| interstellar_scattering | -2.0 – 4.0 | 1.0 | uasbroadening |
InverseNet Baseline Scores
Method: CPU_baseline — Mismatch parameter: nominal
Scenario I (Ideal)
23.29 dB
SSIM 0.7894
Scenario II (Mismatch)
22.17 dB
SSIM 0.7866
Scenario III (Oracle)
25.86 dB
SSIM 0.8905
Per-scene breakdown (4 scenes)
| Scene | PSNR I | SSIM I | PSNR II | SSIM II | PSNR III | SSIM III |
|---|---|---|---|---|---|---|
| scene_00 | 26.75 | 0.8323 | 23.23 | 0.8030 | 26.49 | 0.8981 |
| scene_01 | 20.68 | 0.7723 | 21.60 | 0.7985 | 25.14 | 0.8961 |
| scene_02 | 18.26 | 0.7189 | 18.16 | 0.7292 | 22.16 | 0.8608 |
| scene_03 | 27.45 | 0.8339 | 25.68 | 0.8155 | 29.64 | 0.9071 |
Public Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | DiffVLBI + gradient | 0.835 | 37.16 | 0.979 | 0.86 | ✓ Certified | Gao et al., NeurIPS 2024 |
| 2 | RadioFormer + gradient | 0.822 | 35.08 | 0.968 | 0.92 | ✓ Certified | Gheller & Vazza, MNRAS 2023 |
| 3 | PhysVLBI + gradient | 0.818 | 35.74 | 0.972 | 0.86 | ✓ Certified | He et al., ApJ 2024 |
| 4 | TransVLBI + gradient | 0.777 | 32.43 | 0.947 | 0.87 | ✓ Certified | Feng et al., A&A 2023 |
| 5 | SMILI + gradient | 0.751 | 29.85 | 0.915 | 0.93 | ✓ Certified | Akiyama et al., ApJ 2017 |
| 6 | eht-imaging + gradient | 0.675 | 26.29 | 0.84 | 0.88 | ✓ Certified | Chael et al., ApJ 2018 |
| 7 | RESOLVE + gradient | 0.616 | 23.68 | 0.757 | 0.88 | ✓ Certified | Junklewitz et al., A&A 2016 |
| 8 | MEM-VLBI + gradient | 0.529 | 20.34 | 0.615 | 0.9 | ✓ Certified | Narayan & Nityananda, ARA&A 1986 |
| 9 | CLEAN-VLBI + gradient | 0.449 | 17.56 | 0.478 | 0.91 | ✓ Certified | Hogbom, A&AS 1974 |
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%