Extraction of the muon signals recorded with the surface detector of the Pierre Auger Observatory using recurrent neural networks

Autores
Freire, M. M.; The Pierre Auger collaboration
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Fil: Fil: Freire, M. M. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Física de Rosario (IFIR-CONICET). Argentina.
Materia
Analysis and statistical methods
Cherenkov detectors
Large detector systems for particle and astroparticle physics
Pattern recognition, cluster finding, calibration and fitting methods
Nivel de accesibilidad
acceso abierto
Condiciones de uso
Atribución 3.0 No portada (CC BY 3.0)
Repositorio
RepHipUNR (UNR)
Institución
Universidad Nacional de Rosario
OAI Identificador
oai:rephip.unr.edu.ar:2133/23413

id RepHipUNR_b279e8cbd226f1517c783580cbb4f181
oai_identifier_str oai:rephip.unr.edu.ar:2133/23413
network_acronym_str RepHipUNR
repository_id_str 1550
network_name_str RepHipUNR (UNR)
spelling Extraction of the muon signals recorded with the surface detector of the Pierre Auger Observatory using recurrent neural networksFreire, M. M.The Pierre Auger collaboration Analysis and statistical methodsCherenkov detectorsLarge detector systems for particle and astroparticle physicsPattern recognition, cluster finding, calibration and fitting methodsFil: Fil: Freire, M. M. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Física de Rosario (IFIR-CONICET). Argentina.IOP Publishing2021-07-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/2133/23413urn:issn: 1748-0221enghttps://iopscience.iop.org/article/10.1088/1748-0221/16/07/P07016https://doi.org/10.1088/1748-0221/16/07/P07016info:eu-repo/semantics/openAccessAtribución 3.0 No portada (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/deed.esLicencia RepHipreponame:RepHipUNR (UNR)instname:Universidad Nacional de Rosario2025-09-29T13:42:09Zoai:rephip.unr.edu.ar:2133/23413instacron:UNRInstitucionalhttps://rephip.unr.edu.ar/Universidad públicaNo correspondehttps://rephip.unr.edu.ar/oai/requestrephip@unr.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:15502025-09-29 13:42:10.124RepHipUNR (UNR) - Universidad Nacional de Rosariofalse
dc.title.none.fl_str_mv Extraction of the muon signals recorded with the surface detector of the Pierre Auger Observatory using recurrent neural networks
title Extraction of the muon signals recorded with the surface detector of the Pierre Auger Observatory using recurrent neural networks
spellingShingle Extraction of the muon signals recorded with the surface detector of the Pierre Auger Observatory using recurrent neural networks
Freire, M. M.
Analysis and statistical methods
Cherenkov detectors
Large detector systems for particle and astroparticle physics
Pattern recognition, cluster finding, calibration and fitting methods
title_short Extraction of the muon signals recorded with the surface detector of the Pierre Auger Observatory using recurrent neural networks
title_full Extraction of the muon signals recorded with the surface detector of the Pierre Auger Observatory using recurrent neural networks
title_fullStr Extraction of the muon signals recorded with the surface detector of the Pierre Auger Observatory using recurrent neural networks
title_full_unstemmed Extraction of the muon signals recorded with the surface detector of the Pierre Auger Observatory using recurrent neural networks
title_sort Extraction of the muon signals recorded with the surface detector of the Pierre Auger Observatory using recurrent neural networks
dc.creator.none.fl_str_mv Freire, M. M.
The Pierre Auger collaboration
author Freire, M. M.
author_facet Freire, M. M.
The Pierre Auger collaboration
author_role author
author2 The Pierre Auger collaboration
author2_role author
dc.subject.none.fl_str_mv Analysis and statistical methods
Cherenkov detectors
Large detector systems for particle and astroparticle physics
Pattern recognition, cluster finding, calibration and fitting methods
topic Analysis and statistical methods
Cherenkov detectors
Large detector systems for particle and astroparticle physics
Pattern recognition, cluster finding, calibration and fitting methods
dc.description.none.fl_txt_mv Fil: Fil: Freire, M. M. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Física de Rosario (IFIR-CONICET). Argentina.
description Fil: Fil: Freire, M. M. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Física de Rosario (IFIR-CONICET). Argentina.
publishDate 2021
dc.date.none.fl_str_mv 2021-07-12
dc.type.none.fl_str_mv
info:eu-repo/semantics/article

info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/2133/23413
urn:issn: 1748-0221
url http://hdl.handle.net/2133/23413
identifier_str_mv urn:issn: 1748-0221
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://iopscience.iop.org/article/10.1088/1748-0221/16/07/P07016
https://doi.org/10.1088/1748-0221/16/07/P07016
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
Atribución 3.0 No portada (CC BY 3.0)
https://creativecommons.org/licenses/by/3.0/deed.es
Licencia RepHip
eu_rights_str_mv openAccess
rights_invalid_str_mv Atribución 3.0 No portada (CC BY 3.0)
https://creativecommons.org/licenses/by/3.0/deed.es
Licencia RepHip
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv IOP Publishing
publisher.none.fl_str_mv IOP Publishing
dc.source.none.fl_str_mv reponame:RepHipUNR (UNR)
instname:Universidad Nacional de Rosario
reponame_str RepHipUNR (UNR)
collection RepHipUNR (UNR)
instname_str Universidad Nacional de Rosario
repository.name.fl_str_mv RepHipUNR (UNR) - Universidad Nacional de Rosario
repository.mail.fl_str_mv rephip@unr.edu.ar
_version_ 1844618797287211008
score 13.070432