Hidden
Pump-Probe Microscopy — 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 |
|---|---|---|
| time_zero_drift | -14.0 – 46.0 | fs |
| pump_power_fluctuation | -0.7 – 2.3 | - |
| chirp_(gdd) | -70.0 – 230.0 | fs^2 |
| spatial_overlap_error | -2.8 – 9.2 | - |
Hidden Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | MCR-ALS + gradient | 0.608 | 23.87 | 0.764 | 0.82 | ✓ Certified | Tauler, Chemom. Intell. Lab. 1995 |
| 2 | DynFormer + gradient | 0.582 | 23.28 | 0.742 | 0.76 | ✓ Certified | Ultrafast dynamics transformer, 2024 |
| 3 | SVD-GlobFit + gradient | 0.484 | 18.99 | 0.549 | 0.87 | ✓ Certified | van Stokkum et al., BBA 2004 |
| 4 | TAS-Net + gradient | 0.420 | 17.39 | 0.47 | 0.79 | ✓ Certified | Transient absorption DL, 2023 |
Dataset
Scenes: 5
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%