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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.
Geant4-based electromagnetic background model for the CRESST dark matter experiment.
Abdelhameed AH, Angloher G, Bauer P, Bento A, Bertoldo E, Breier R, Bucci C, Canonica L, D'Addabbo A, Lorenzo SD, Erb A, Feilitzsch FV, Iachellini NF, Fichtinger S, Fuss A, Gorla P, Hauff D, Jes Kovský M, Jochum J, Kaizer J, Kinast A, Kluck H, Kraus H, Langenkämper A, Mancuso M, Mokina V, Mondragón E, Olmi M, Ortmann T, Pagliarone C, Palus Ová V, Pattavina L, Petricca F, Potzel W, Povinec P, Pröbst F, Reindl F, Rothe J, Schäffner K, Schieck J, Schipperges V, Schmiedmayer D, Schönert S, Schwertner C, Stahlberg M, Stodolsky L, Strandhagen C, Strauss R, Türkoğlu C, Usherov I, Willers M, Zema V, Zeman J.
Abdelhameed AH, et al. Among authors: iachellini nf.
Eur Phys J C Part Fields. 2019;79(10):881. doi: 10.1140/epjc/s10052-019-7385-0. Epub 2019 Oct 26.
Eur Phys J C Part Fields. 2019.
PMID: 31708682
Free PMC article.
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