Hidden
Radio Aperture Synthesis — Hidden Tier
(5 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 |
|---|---|---|
| antenna_gain_error | 0.993 – 1.023 | - |
| phase_calibration_error | -0.7 – 2.3 | deg |
| bandpass_slope | -0.0014 – 0.0046 | 1/MHz |
| pointing_offset | -0.7 – 2.3 | arcsec |
Hidden Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | PRIMO + gradient | 0.582 | 23.27 | 0.742 | 0.76 | ✓ Certified | Medeiros et al., ApJL 2023 |
| 2 | AIRI + gradient | 0.528 | 20.63 | 0.629 | 0.85 | ✓ Certified | Terris et al., MNRAS 2022 |
| 3 | R2D2 + gradient | 0.526 | 21.36 | 0.662 | 0.74 | ✓ Certified | Aghabiglou et al., ApJS 2024 |
| 4 | CLEAN + gradient | 0.423 | 17.23 | 0.462 | 0.83 | ✓ Certified | Hogbom, A&AS 1974 |
Dataset
Scenes: 5
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%