13 citations · 19 across the 3 of their papers we have counts for
3 papers
physics.ins-det2025
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…
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…
physics.ins-det2022★ 6 cited
Cait: analysis toolkit for cryogenic particle detectors in Python
Felix Wagner, Daniel Bartolot, Damir Rizvanovic +3
Cryogenic solid state detectors are widely used in dark matter and neutrino experiments, and require a sensible raw data analysis. For this purpose, we present Cait, an open source…