168 citations · 280 across the 17 of their papers we have counts for
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ImpCresst -- A versatile simulation tool focusing on solid-state detectors at keV energies
G. Angloher, S. Banik, A. Bento +57
We present ImpCresst, a Geant4-based Monte Carlo tool to simulate backgrounds from natural and cosmogenic radionuclides, and calibration signals in solid-state detectors and their…
Description of CRESST-II and CRESST-III pulse shape data
G. Angloher, S. Banik, D. Bartolot +62
A set of data from 68 cryogenic detectors operated in the CRESST dark matter search experiment between 2013 and 2019 was collected and labeled to train binary classifiers for data…
Observation of a low energy nuclear recoil peak in the neutron calibration data of an AlO crystal in CRESST-III
CRESST Collaboration, G. Angloher, S. Banik +59
The current generation of cryogenic solid state detectors used in direct dark matter and CE\textnu NS searches typically reach energy thresholds of (10)eV for nucl…
DoubleTES detectors to investigate the CRESST low energy background: results from above-ground prototypes
G. Angloher, S. Banik, G. Benato +55
In recent times, the sensitivity of low-mass direct dark matter searches has been limited by unknown low energy backgrounds close to the energy threshold of the experiments known a…
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…
Towards an automated data cleaning with deep learning in CRESST
G. Angloher, S. Banik, D. Bartolot +62
The CRESST experiment employs cryogenic calorimeters for the sensitive measurement of nuclear recoils induced by dark matter particles. The recorded signals need to undergo a caref…