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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • 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