43 citations · 73 across the 16 of their papers we have counts for
4 papers · 2 filters
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…
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…
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…
Observation of a low energy nuclear recoil peak in the neutron calibration data of the CRESST-III Experiment
CRESST Collaboration, G. Angloher, S. Banik +58
New-generation direct searches for low mass dark matter feature detection thresholds at energies well below 100 eV, much lower than the energies of commonly used X-ray calibration…