Datasets and model checkpoints for overlapping-sparse neutrino interaction decomposition
<p>Datasets and model checkpoints corresponding to the article: "Deep-learning-based decomposition of overlapping-sparse images: application at the vertex of neutrino interactions." (https://arxiv.org/abs/2310.19695):</p><ul><li><strong>dataset_p.tar.gz</strong>: proton dataset.</li><li><strong>dataset_mu.tar.gz</strong>: muon dataset.</li><li><strong>dataset_D+.tar.gz</strong>: deuterium dataset.</li><li><strong>dataset_T+.tar.gz</strong>: tritium dataset.</li><li><strong>metadata.tar.gz</strong>: datasets metadata.</li><li><strong>checkpoints.tar.gz</strong>: checkpoints for the trained neural network models.</li></ul><p> </p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 4