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Schwertner, C.
176
results:
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1
Light Dark Matter Search Using a Diamond Cryogenic Detector:
CRESST Collaboration
;
Angloher, G
;
Banik, S
...
http://arxiv.org/abs/2310.05815. , 2023
Link:
http://arxiv.org/abs/231..
?
2
Optimal operation of cryogenic calorimeters through deep re..:
Angloher, G
;
Banik, S
;
Benato, G
...
http://arxiv.org/abs/2311.15147. , 2023
Link:
http://arxiv.org/abs/231..
?
3
Deep-underground dark matter search with a COSINUS detector..:
The COSINUS Collaboration
;
Angloher, G
;
Bharadwaj, M. R
...
http://arxiv.org/abs/2307.11139. , 2023
Link:
http://arxiv.org/abs/230..
?
4
Towards an automated data cleaning with deep learning in CR..:
Angloher, G
;
Banik, S
;
Bartolot, D
...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9886615/. , 2023
Link:
http://www.ncbi.nlm.nih...
?
5
Particle discrimination in a NaI crystal using the COSINUS ..:
COSINUS Collaboration
;
Angloher, G
;
Bharadwaj, M. R
...
http://arxiv.org/abs/2307.11066. , 2023
Link:
http://arxiv.org/abs/230..
?
6
Observation of a low energy nuclear recoil peak in the neut..:
CRESST Collaboration
;
Angloher, G
;
Banik, S
...
http://arxiv.org/abs/2303.15315. , 2023
Link:
http://arxiv.org/abs/230..
?
7
Detector development for the CRESST experiment:
Angloher, G
;
Banik, S
;
Benato, G
...
http://arxiv.org/abs/2311.07318. , 2023
Link:
http://arxiv.org/abs/231..
?
8
High-Dimensional Bayesian Likelihood Normalisation for CRES..:
Angloher, G
;
Banik, S
;
Benato, G
...
http://arxiv.org/abs/2307.12991. , 2023
Link:
http://arxiv.org/abs/230..
?
9
A Plastic Scintillation Muon Veto for Sub-Kelvin Temperatur..:
Erhart, A
;
Wagner, V
;
Wex, A
...
http://arxiv.org/abs/2310.08457. , 2023
Link:
http://arxiv.org/abs/231..
?
10
Development of a compact muon veto for the NUCLEUS experime..:
Wagner, V
;
Rogly, R
;
Erhart, A
...
http://arxiv.org/abs/2202.03991. , 2022
Link:
http://arxiv.org/abs/220..
?
11
Latest observations on the low energy excess in CRESST-III:
Angloher, G
;
Banik, S
;
Benato, G
...
http://arxiv.org/abs/2207.09375. , 2022
Link:
http://arxiv.org/abs/220..
?
12
Towards an automated data cleaning with deep learning in CR..:
Angloher, G
;
Banik, S
;
Bartolot, D
...
http://arxiv.org/abs/2211.00564. , 2022
Link:
http://arxiv.org/abs/221..
?
13
Testing spin-dependent dark matter interactions with lithiu..:
Angloher, G
;
Banik, S
;
Benato, G
...
http://arxiv.org/abs/2207.07640. , 2022
Link:
http://arxiv.org/abs/220..
?
14
Simulation-based design study for the passive shielding of ..:
Angloher, G
;
Dafinei, I
;
Marco, N. Di
...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8940824/. , 2022
Link:
http://www.ncbi.nlm.nih...
?
15
Development of a compact muon veto for the Nucleus experime..:
Wagner, V
;
Rogly, R
;
Erhart, A
...
https://mediatum.ub.tum.de/1663183. , 2022
Link:
https://mediatum.ub.tum...
1-15
