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

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Angloher, G., Banik, S., Bartolot, D., Benato, G., Bento, A., Bertolini, A., Breier, R., Bucci, C., Burkhart, J., Canonica, L., D'Addabbo, A., Di Lorenzo, S., Einfalt, L., Erb, A., Feilitzsch, F. v., Iachellini, N. Ferreiro, Fichtinger, S., Fuchs, D., Fuss, A., Garai, A., Ghete, V. M., Gorla, P., Guillaumon, P. V., Gupta, S., Hauff, D., Ješkovský, M., Jochum, J., Kaznacheeva, M., Kinast, A., Kluck, H., Kuckuk, S., Kraus, H., Lackner, M., Langenkämper, A., Mancuso, M., Marini, L., Meyer, L., Mokina, V., Murali, P., Nilima, A., Olmi, M., Ortmann, T., Pagliarone, C., Pattavina, L., Petricca, F., Potzel, W., Povinec, P., Pröbst, F., Pucci, F., Reindl, F., Rizvanovic, D., Rothe, J., Schäffner, K., Schieck, J., Schmiedmayer, D., Schönert, S., Schwertner, C., Stahlberg, M., Stodolsky, L., Strandhagen, C., Strauss, R., Usherov, I., Wagner, F., Willers, M., Zema, V.
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Instrumentation and Detectors Cosmology and Nongalactic Astrophysics
Accesso online:	Acceder al recurso
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_version_	1866916881972068352
author	Angloher, G. Banik, S. Bartolot, D. Benato, G. Bento, A. Bertolini, A. Breier, R. Bucci, C. Burkhart, J. Canonica, L. D'Addabbo, A. Di Lorenzo, S. Einfalt, L. Erb, A. Feilitzsch, F. v. Iachellini, N. Ferreiro Fichtinger, S. Fuchs, D. Fuss, A. Garai, A. Ghete, V. M. Gorla, P. Guillaumon, P. V. Gupta, S. Hauff, D. Ješkovský, M. Jochum, J. Kaznacheeva, M. Kinast, A. Kluck, H. Kuckuk, S. Kraus, H. Lackner, M. Langenkämper, A. Mancuso, M. Marini, L. Meyer, L. Mokina, V. Murali, P. Nilima, A. Olmi, M. Ortmann, T. Pagliarone, C. Pattavina, L. Petricca, F. Potzel, W. Povinec, P. Pröbst, F. Pucci, F. Reindl, F. Rizvanovic, D. Rothe, J. Schäffner, K. Schieck, J. Schmiedmayer, D. Schönert, S. Schwertner, C. Stahlberg, M. Stodolsky, L. Strandhagen, C. Strauss, R. Usherov, I. Wagner, F. Willers, M. Zema, V.
author_facet	Angloher, G. Banik, S. Bartolot, D. Benato, G. Bento, A. Bertolini, A. Breier, R. Bucci, C. Burkhart, J. Canonica, L. D'Addabbo, A. Di Lorenzo, S. Einfalt, L. Erb, A. Feilitzsch, F. v. Iachellini, N. Ferreiro Fichtinger, S. Fuchs, D. Fuss, A. Garai, A. Ghete, V. M. Gorla, P. Guillaumon, P. V. Gupta, S. Hauff, D. Ješkovský, M. Jochum, J. Kaznacheeva, M. Kinast, A. Kluck, H. Kuckuk, S. Kraus, H. Lackner, M. Langenkämper, A. Mancuso, M. Marini, L. Meyer, L. Mokina, V. Murali, P. Nilima, A. Olmi, M. Ortmann, T. Pagliarone, C. Pattavina, L. Petricca, F. Potzel, W. Povinec, P. Pröbst, F. Pucci, F. Reindl, F. Rizvanovic, D. Rothe, J. Schäffner, K. Schieck, J. Schmiedmayer, D. Schönert, S. Schwertner, C. Stahlberg, M. Stodolsky, L. Strandhagen, C. Strauss, R. Usherov, I. Wagner, F. Willers, M. Zema, V.
contents	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.
format	Preprint
id	arxiv_https___arxiv_org_abs_2508_03078
institution	arXiv
publishDate	2025
record_format	arxiv
spellingShingle	Description of CRESST-II and CRESST-III pulse shape data Angloher, G. Banik, S. Bartolot, D. Benato, G. Bento, A. Bertolini, A. Breier, R. Bucci, C. Burkhart, J. Canonica, L. D'Addabbo, A. Di Lorenzo, S. Einfalt, L. Erb, A. Feilitzsch, F. v. Iachellini, N. Ferreiro Fichtinger, S. Fuchs, D. Fuss, A. Garai, A. Ghete, V. M. Gorla, P. Guillaumon, P. V. Gupta, S. Hauff, D. Ješkovský, M. Jochum, J. Kaznacheeva, M. Kinast, A. Kluck, H. Kuckuk, S. Kraus, H. Lackner, M. Langenkämper, A. Mancuso, M. Marini, L. Meyer, L. Mokina, V. Murali, P. Nilima, A. Olmi, M. Ortmann, T. Pagliarone, C. Pattavina, L. Petricca, F. Potzel, W. Povinec, P. Pröbst, F. Pucci, F. Reindl, F. Rizvanovic, D. Rothe, J. Schäffner, K. Schieck, J. Schmiedmayer, D. Schönert, S. Schwertner, C. Stahlberg, M. Stodolsky, L. Strandhagen, C. Strauss, R. Usherov, I. Wagner, F. Willers, M. Zema, V. Instrumentation and Detectors Cosmology and Nongalactic Astrophysics 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.
title	Description of CRESST-II and CRESST-III pulse shape data
topic	Instrumentation and Detectors Cosmology and Nongalactic Astrophysics
url	https://arxiv.org/abs/2508.03078