Hidden
Gravitational Wave Detection — 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 |
|---|---|---|
| calibration_amplitude | 0.993 – 1.023 | - |
| phase_calibration | -0.007 – 0.023 | rad |
| power_spectral_density | -0.15 – 0.15 | 1/Hz |
| timing_offset | -0.15 – 0.15 | s |
Hidden Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | WaveFormer + gradient | 0.583 | 23.33 | 0.744 | 0.76 | ✓ Certified | GW detection transformer, 2024 |
| 2 | GW-CNN + gradient | 0.531 | 20.66 | 0.63 | 0.86 | ✓ Certified | George & Huerta, Phys. Rev. D 2018 |
| 3 | BayesWave + gradient | 0.432 | 17.41 | 0.471 | 0.85 | ✓ Certified | Cornish & Littenberg, CQG 2015 |
| 4 | Matched Filter + gradient | 0.423 | 17.56 | 0.478 | 0.78 | ✓ Certified | Allen et al., Phys. Rev. D 2012 |
Dataset
Scenes: 5
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%