Optimal Operation of Cryogenic Calorimeters Through Deep Reinforcement Learning

Optimal Operation of Cryogenic Calorimeters Through Deep Reinforcement Learning

Cryogenic phonon detectors with transition-edge sensors achieve the best sensitivity to sub-GeV/c2 dark matter interactions with nuclei in current direct detection experiments. In such devices, the temperature of the thermometer and the bias current in its readout circuit need careful optimization t...

Descripció completa

Dades bibliogràfiques
Autors principals: 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, v. Feilitzsch, F, Fichtinger, S, Fuchs, D, Garai, A, Ghete, VM, Gorla, P, Guillaumon, PV, Gupta, S, Hauff, D, Ješkovský, M, Jochum, J, Kraus, H
Format: Journal article
Idioma:English
Publicat: Springer 2024

Ítems similars