Extraction of the muon signals recorded with the surface detector of the Pierre Auger Observatory using recurrent neural networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378271%3A_____%2F21%3A00550820" target="_blank" >RIV/68378271:_____/21:00550820 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11320/21:10439713 RIV/61989592:15310/21:73608957
Result on the web
<a href="https://doi.org/10.1088/1748-0221/16/07/P07016" target="_blank" >https://doi.org/10.1088/1748-0221/16/07/P07016</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1088/1748-0221/16/07/P07016" target="_blank" >10.1088/1748-0221/16/07/P07016</a>
Alternative languages
Result language
angličtina
Original language name
Extraction of the muon signals recorded with the surface detector of the Pierre Auger Observatory using recurrent neural networks
Original language description
The Pierre Auger Observatory, at present the largest cosmic-ray observatory ever built, is instrumented with a ground array of 1600 water-Cherenkov detectors, known as the Surface Detector (SD). The SD samples the secondary particle content (mostly photons, electrons, positrons and muons) of extensive air showers initiated by cosmic rays with energies ranging from 10(17) eV up to more than 10(20) eV. Measuring the independent contribution of the muon component to the total registered signal is crucial to enhance the capability of the Observatory to estimate the mass of the cosmic rays on an event-by-event basis. However, with the current design of the SD, it is difficult to straightforwardly separate the contributions of muons to the SD time traces from those of photons, electrons and positrons. In this paper, we present a method aimed at extracting the muon component of the time traces registered with each individual detector of the SD using Recurrent Neural Networks.n
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
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Instrumentation
ISSN
1748-0221
e-ISSN
1748-0221
Volume of the periodical
16
Issue of the periodical within the volume
7
Country of publishing house
GB - UNITED KINGDOM
Number of pages
22
Pages from-to
P07016
UT code for WoS article
000702560000001
EID of the result in the Scopus database
2-s2.0-85110748213