6 papers
Overlap-aware segmentation for topological reconstruction of obscured objects
J. Schueler, H. M. Araújo, S. N. Balashov +30
The separation of overlapping objects presents a significant challenge in scientific imaging. While deep learning segmentation-regression algorithms can predict pixel-wise intensit…
Description of CRESST-III lithium aluminate data
G. Angloher, S. Banik, G. Benato +58
Two detector modules with lithium aluminate targets were operated in the CRESST underground setup between February and June 2021. The data collected in this period was used to set…
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…
The CRESST experiment: towards the next-generation of sub-GeV direct dark matter detection
G. Angloher, S. Banik, A. Bento +54
Direct detection experiments have established the most stringent constraints on potential interactions between particle candidates for relic, thermal dark matter and Standard Model…
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…