CANONICA LUCIA

Angloher, G., Banik, S., Benato, G., Bento, A., Bertolini, A., Breier, R., et al. (2024). Optimal Operation of Cryogenic Calorimeters Through Deep Reinforcement Learning. COMPUTING AND SOFTWARE FOR BIG SCIENCE, 8(1) [10.1007/s41781-024-00119-y]. Dettaglio

Angloher, G., Banik, S., Benato, G., Bento, A., Bertolini, A., Breier, R., et al. (2024). High-dimensional Bayesian likelihood normalisation for CRESST's background model. JOURNAL OF INSTRUMENTATION, 19(11) [10.1088/1748-0221/19/11/P11013]. Dettaglio

Banik, S., Angloher, G., Benato, G., Bento, A., Bertolini, A., Breier, R., et al. (2024). Background modeling and simulation of the calibration source for the CRESST dark matter search experiment. In 18th International Conference on Topics in Astroparticle and Underground Physics, TAUP 2023. Sissa Medialab Srl [10.22323/1.441.0071]. Dettaglio

Erhart, A., Wagner, V., Wex, A., Goupy, C., Lhuillier, D., Namuth, E., et al. (2024). A plastic scintillation muon veto for sub-Kelvin temperatures. THE EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS, 84(1) [10.1140/epjc/s10052-023-12375-0]. Dettaglio

Angloher, G., Banik, S., Benato, G., Bento, A., Bertolini, A., Breier, R., et al. (2024). Detector Development for the CRESST Experiment. JOURNAL OF LOW TEMPERATURE PHYSICS, 216(1-2), 393-401 [10.1007/s10909-024-03154-6]. Dettaglio