Separation of track- and shower-like energy deposits in ProtoDUNE-SP using a convolutional neural network
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378271%3A_____%2F22%3A00563954" target="_blank" >RIV/68378271:_____/22:00563954 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11320/22:10455169 RIV/68407700:21340/22:00361096
Result on the web
<a href="https://hdl.handle.net/11104/0335738" target="_blank" >https://hdl.handle.net/11104/0335738</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1140/epjc/s10052-022-10791-2" target="_blank" >10.1140/epjc/s10052-022-10791-2</a>
Alternative languages
Result language
angličtina
Original language name
Separation of track- and shower-like energy deposits in ProtoDUNE-SP using a convolutional neural network
Original language description
Liquid argon time projection chamber detector technology provides high spatial and calorimetric resolutions on the charged particles traversing liquid argon. As a result, the technology has been used in a number of recent neutrino experiments, and is the technology of choice for the Deep Underground Neutrino Experiment (DUNE). In order to perform high precision measurements of neutrinos in the detector, final state particles need to be effectively identified, and their energy accurately reconstructed. This article proposes an algorithm based on a convolutional neural network to perform the classification of energy deposits and reconstructed particles as track-like or arising from electromagnetic cascades. Results from testing the algorithm on experimental data from ProtoDUNE-SP, a prototype of the DUNE far detector, are presented.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10303 - Particles and field physics
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
European Physical Journal C
ISSN
1434-6044
e-ISSN
1434-6052
Volume of the periodical
82
Issue of the periodical within the volume
10
Country of publishing house
DE - GERMANY
Number of pages
19
Pages from-to
903
UT code for WoS article
000866503200001
EID of the result in the Scopus database
2-s2.0-85139783137