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physics.ins-det2023
Optimal operation of cryogenic calorimeters through deep reinforcement learning
G. Angloher, S. Banik, G. Benato +59
Cryogenic phonon detectors with transition-edge sensors achieve the best sensitivity to light dark matter-nucleus scattering in current direct detection dark matter searches. In su…
physics.ins-det2023★ 6 cited
Detector development for the CRESST experiment
G. Angloher, S. Banik, G. Benato +55
Recently low-mass dark matter direct searches have been hindered by a low energy background, drastically reducing the physics reach of the experiments. In the CRESST-III experiment…
physics.ins-det2023
High-Dimensional Bayesian Likelihood Normalisation for CRESST's Background Model
G. Angloher, S. Banik, G. Benato +59
Using CaWO crystals as cryogenic calorimeters, the CRESST experiment searches for nuclear recoils caused by the scattering of potential Dark Matter particles. A reliable identi…