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...

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Bibliographische Detailangaben
Hauptverfasser: 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
Sprache:English
Veröffentlicht: Springer 2024

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