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dataset-arxiv:2406.10372

<p>Dataset for Insights into Dark Matter Direct Detection Experiments: Decision Trees versus Deep Learning,&nbsp; https://arxiv.org/abs/2406.10372</p> <p>&nbsp;</p> <p>Events simulating the response of XENON1T for dark matter direct detection studies.</p> <p>Includes several backgrounds (ER, surface events, radiogenic neutrons, CEvNS, accidental coincidences) and DM signal events for WIMPs (Spin Independent DM-nucleon interactions) with masses 10, 20, 35, 50, 100, 200, 500 GeV.</p> <p>Each event is stored in 4 different data representations: Images (as .h5 file into each source folder and also into 00-images folder), Arrays (as .h5 file into each source folder), Resumed features (as 4 .txt files into each source folder), cS1-cS2 (as .txt files into cs1cs2 folder).</p> <p>Generated with PaX: https://github.com/XENON1T/pax</p> <p>&nbsp;</p> <p>For more details about the dataset and how to use it: https://github.com/AndresDanielPerez/Insights-into-Dark-Matter-Direct-Detection-Experiments</p>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
8
Access
16
Reuse readiness
8
Engagement
0