Identification of patterns in cosmic-ray arrival directions using dynamic graph convolutional 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%3A00539716" target="_blank" >RIV/68378271:_____/21:00539716 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1016/j.astropartphys.2020.102527" target="_blank" >https://doi.org/10.1016/j.astropartphys.2020.102527</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.astropartphys.2020.102527" target="_blank" >10.1016/j.astropartphys.2020.102527</a>
Alternative languages
Result language
angličtina
Original language name
Identification of patterns in cosmic-ray arrival directions using dynamic graph convolutional neural networks
Original language description
We present a new approach for the identification of ultra-high energy cosmic rays from sources using dynamic graph convolutional neural networks. These networks are designed to handle sparsely arranged objects and to exploit their short- and long-range correlations. Our method searches for patterns in the arrival directions of cosmic rays, which are expected to result from coherent deflections in cosmic magnetic fields. The network discriminates astrophysical scenarios with source signatures from those with only isotropically distributed cosmic rays and allows for the identification of cosmic rays that belong to a deflection pattern. We use simulated astrophysical scenarios where the source density is the only free parameter to show how density limits can be derived. We apply this method to a public data set from the AGASA Observatory.
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
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Continuities
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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
Astroparticle Physics
ISSN
0927-6505
e-ISSN
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Volume of the periodical
126
Issue of the periodical within the volume
Mar
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
10
Pages from-to
1-10
UT code for WoS article
000600571200006
EID of the result in the Scopus database
2-s2.0-85096862548