Dev
Gravitational Wave Detection — 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 |
|---|---|---|
| calibration_amplitude | 0.988 – 1.018 | - |
| phase_calibration | -0.012 – 0.018 | rad |
| power_spectral_density | -0.15 – 0.15 | 1/Hz |
| timing_offset | -0.15 – 0.15 | s |
Dev Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | WaveFormer + gradient | 0.651 | 25.92 | 0.83 | 0.8 | ✓ Certified | GW detection transformer, 2024 |
| 2 | GW-CNN + gradient | 0.593 | 23.17 | 0.738 | 0.83 | ✓ Certified | George & Huerta, Phys. Rev. D 2018 |
| 3 | BayesWave + gradient | 0.535 | 20.87 | 0.64 | 0.85 | ✓ Certified | Cornish & Littenberg, CQG 2015 |
| 4 | Matched Filter + gradient | 0.433 | 17.22 | 0.461 | 0.88 | ✓ Certified | Allen et al., Phys. Rev. D 2012 |
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%