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Deep learning based pulse shape discrimination for germanium detectors

Deep learning based pulse shape discrimination for germanium detectors

4 March 2019
Philipp Holl
L. Hauertmann
B. Majorovits
O. Schulz
M. Schuster
A. Zsigmond
ArXivPDFHTML

Papers citing "Deep learning based pulse shape discrimination for germanium detectors"

4 / 4 papers shown
Title
Data-driven detector signal characterization with constrained bottleneck
  autoencoders
Data-driven detector signal characterization with constrained bottleneck autoencoders
C. Jesús-Valls
Thorsten Lux
Federico Sánchez
13
1
0
09 Mar 2022
Machine Learning in the Search for New Fundamental Physics
Machine Learning in the Search for New Fundamental Physics
G. Karagiorgi
Gregor Kasieczka
S. Kravitz
Benjamin Nachman
David Shih
AI4CE
42
113
0
07 Dec 2021
Machine Learning in Nuclear Physics
Machine Learning in Nuclear Physics
A. Boehnlein
M. Diefenthaler
C. Fanelli
M. Hjorth-Jensen
T. Horn
...
M. Schram
A. Scheinker
Michael S. Smith
Xin-Nian Wang
Veronique Ziegler
AI4CE
37
41
0
04 Dec 2021
Efficient Machine Learning Approach for Optimizing the Timing Resolution
  of a High Purity Germanium Detector
Efficient Machine Learning Approach for Optimizing the Timing Resolution of a High Purity Germanium Detector
R. Gladen
V. Chirayath
A. Fairchild
M. Manry
A. R. Koymen
A. Weiss
19
11
0
31 Mar 2020
1