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Towards an automated data cleaning with deep learning in CRESST.
Eur Phys J Plus. 2023;138(1):100. doi: 10.1140/epjp/s13360-023-03674-2. Epub 2023 Jan 30.
Eur Phys J Plus. 2023.
PMID: 36741916
Free PMC article.
Secular equilibrium assessment in a CaWO4 target crystal from the dark matter experiment CRESST using Bayesian likelihood normalisation.
Angloher G, Banik S, 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 FV, Ferreiro Iachellini N, Fichtinger S, Fuchs D, Fuss A, Garai A, Ghete VM, Gorla P, Gupta S, Hauff D, Ješkovský M, Jochum J, Kaznacheeva M, Kinast A, Kluck H, Kraus H, Langenkämper A, Mancuso M, Marini 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, 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; CRESST Collaboration; Ferella F, Laubenstein M, Nisi S.
Angloher G, et al.
Appl Radiat Isot. 2023 Apr;194:110670. doi: 10.1016/j.apradiso.2023.110670. Epub 2023 Jan 21.
Appl Radiat Isot. 2023.
PMID: 36696751
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