43 citations · 128 across the 5 of their papers we have counts for
Showing physics.ins-detShow all
2 papers · 1 filter
physics.ins-det2023★ 9 cited
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…
physics.ins-det2022★ 13 cited
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…