13 citations · 19 across the 3 of their papers we have counts for
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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…
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…
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…