Optimal Operation of Cryogenic Calorimeters Through Deep Reinforcement Learning

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: Optimal Operation of Cryogenic Calorimeters Through Deep Reinforcement Learning ; volume:8 ; number:1 ; day:22 ; month:5 ; year:2024 ; pages:1-25 ; date:12.2024
Computing and software for big science ; 8, Heft 1 (22.5.2024), 1-25, 12.2024

Creator: Angloher, G.
Banik, S.
Benato, G.
Bento, A.
Bertolini, A.
Breier, R.
Bucci, C.
Burkhart, J.
Canonica, L.
D’Addabbo, A.
Lorenzo, S. Di
Einfalt, L.
Erb, A.
v. Feilitzsch, F.
Fichtinger, S.
Fuchs, D.
Garai, A.
Ghete, V. M.
Gorla, P.
Guillaumon, P. V.
Gupta, S.
Hauff, D.
Ješkovský, M.
Jochum, J.
Kaznacheeva, M.
Kinast, A.
Kuckuk, S.
Kluck, H.
Kraus, H.
Langenkämper, A.
Mancuso, M.
Marini, L.
Mauri, B.
Meyer, L.
Mokina, V.
Niedermayer, K.
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.
Schönert, S.
Schwertner, C.
Stahlberg, M.
Stodolsky, L.
Strandhagen, C.
Strauss, R.
Usherov, I.
Wagner, F.
Wagner, V.
Willers, M.
Zema, V.
Heitzinger, C.
Waltenberger, W.

Contributor: SpringerLink (Online service)

DOI: 10.1007/s41781-024-00119-y

URN: urn:nbn:de:101:1-2408011346565.336260149388

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 11:00 AM CEST

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Associated

Angloher, G.
Banik, S.
Benato, G.
Bento, A.
Bertolini, A.
Breier, R.
Bucci, C.
Burkhart, J.
Canonica, L.
D’Addabbo, A.
Lorenzo, S. Di
Einfalt, L.
Erb, A.
v. Feilitzsch, F.
Fichtinger, S.
Fuchs, D.
Garai, A.
Ghete, V. M.
Gorla, P.
Guillaumon, P. V.
Gupta, S.
Hauff, D.
Ješkovský, M.
Jochum, J.
Kaznacheeva, M.
Kinast, A.
Kuckuk, S.
Kluck, H.
Kraus, H.
Langenkämper, A.
Mancuso, M.
Marini, L.
Mauri, B.
Meyer, L.
Mokina, V.
Niedermayer, K.
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.
Schönert, S.
Schwertner, C.
Stahlberg, M.
Stodolsky, L.
Strandhagen, C.
Strauss, R.
Usherov, I.
Wagner, F.
Wagner, V.
Willers, M.
Zema, V.
Heitzinger, C.
Waltenberger, W.
SpringerLink (Online service)

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Optimal Operation of Cryogenic Calorimeters Through Deep Reinforcement Learning

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