6 citations · 14 across the 10 of their papers we have counts for
5 papers · 1 filter
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…
p-adaptive discontinuous Galerkin method for the shallow water equations on heterogeneous computing architectures
Sara Faghih-Naini, Vadym Aizinger, Sebastian Kuckuk +2
Heterogeneous computing and exploiting integrated CPU-GPU architectures has become a clear current trend since the flattening of Moore's Law. In this work, we propose a numerical a…
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…
Light Dark Matter Search Using a Diamond Cryogenic Detector
CRESST Collaboration, G. Angloher, S. Banik +56
Diamond operated as a cryogenic calorimeter is an excellent target for direct detection of low-mass dark matter candidates. Following the realization of the first low-threshold cry…
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…