Towards an automated data cleaning with deep learning in CRESST

The CRESST experiment employs cryogenic calorimeters for the sensitive measurement of nuclear recoils induced by dark matter particles. The recorded signals need to undergo a careful cleaning process to avoid wrongly reconstructed recoil energies caused by pile-up and read-out artefacts. We frame th...

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Detalles Bibliográficos
Autores principales: 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., Gerster, S., Gorla, P., Guillaumon, P. V., Gupta, S., Hauff, D., Ješkovský, M., Jochum, J., Kaznacheeva, M., Kinast, A., Kluck, H., Kraus, H., Lackner, M., Langenkämper, A., Mancuso, M., Marini, L., Meyer, L., Mokina, V., 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., Waltenberger, W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Regular Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9886615/
https://www.ncbi.nlm.nih.gov/pubmed/36741916
http://dx.doi.org/10.1140/epjp/s13360-023-03674-2

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