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Description of CRESST-II and CRESST-III pulse shape data

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arxiv 2508.03078 v1 pith:4AN6BO7B submitted 2025-08-05 physics.ins-det astro-ph.CO

Description of CRESST-II and CRESST-III pulse shape data

G. Angloher , S. Banik , D. Bartolot , G. Benato , A. Bento , A. Bertolini , R. Breier , C. Bucci
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J. Burkhart L. Canonica A. D'Addabbo S. Di Lorenzo L. Einfalt A. Erb F. v. Feilitzsch N. Ferreiro Iachellini S. Fichtinger D. Fuchs A. Fuss A. Garai V.M. Ghete P. Gorla P.V. Guillaumon S. Gupta D. Hauff M. Je\v{s}kovsk\'y J. Jochum M. Kaznacheeva A. Kinast H. Kluck S. Kuckuk H. Kraus M. Lackner A. Langenk\"amper M. Mancuso L. Marini L. Meyer V. Mokina P. Murali A. Nilima M. Olmi T. Ortmann C. Pagliarone L. Pattavina F. Petricca W. Potzel P. Povinec F. Pr\"obst F. Pucci F. Reindl D. Rizvanovic J. Rothe K. Sch\"affner J. Schieck D. Schmiedmayer S. Sch\"onert C. Schwertner M. Stahlberg L. Stodolsky C. Strandhagen R. Strauss I. Usherov F. Wagner M. Willers V. Zema (CRESST Collaboration)
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classification physics.ins-det astro-ph.CO
keywords datamodelsappliedavailablebinaryclassifierscleaningcollected
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A set of data from 68 cryogenic detectors operated in the CRESST dark matter search experiment between 2013 and 2019 was collected and labeled to train binary classifiers for data cleaning. Here, we describe the data set and how the trained models can be applied to new data. The data and models are available online.

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