Open Dataset Challenge

Water Cherenkov Particle Identification

Classify particle identity from Water Cherenkov event displays using ring topology, timing, and light-pattern features.

Muon particle tracks in a detector event
CategoryParticle identification
Detector typeWater Cherenkov
Technical methodComputer vision
TimeframeDataset definition pending
Dataset typeWater Cherenkov event-display records
Challenge typeOpen dataset benchmark
Technical problemRing-pattern classification

Protocol

Scope

This planned challenge will evaluate particle identification from Water Cherenkov detector images and timing summaries. The benchmark follows the basic detector setting of large optical Cherenkov experiments such as Super-Kamiokande (Fukuda et al. 2003), but the public record will use a simplified open dataset schema.

Protocol needs

The final protocol should define particle labels, calibration assumptions, train and hold-out splits, and class-balance handling. The primary metric is macro F1,

\[ F_{1,\mathrm{macro}} = \frac{1}{K}\sum_{k=1}^{K} \frac{2p_k r_k}{p_k + r_k}, \]

where \(p_k\) and \(r_k\) are precision and recall for class \(k\).

Leaderboard

The leaderboard is not open until the dataset record and baseline classifier are ready. The protocol should make detector-response assumptions visible, especially any timing smearing, dark-noise simulation, or event-display preprocessing.

References

Fukuda, S. et al. 2003. “The Super-Kamiokande Detector.” Nuclear Instruments and Methods in Physics Research Section A 501 (2-3): 418–62. https://doi.org/10.1016/S0168-9002(03)00425-X.

Baseline

Baseline solution

Repository location for the minimal reproducible script (MRS) used to reproduce the baseline score for this task.

View baseline source

Validation

Validation

Fetch the evaluation bundle for this dataset, then send an HDF5 submission shaped according to the dataset schema.

Submission schema
opendc eval get water-cherenkov-pid-v0
opendc eval send <submission.h5>