Deep-learning based reconstruction of the shower maximum Xmax using the water-Cherenkov detectors of the Pierre Auger Observatory

Autores
Freir, M. M.; Micheletti, M. I.; The Pierre Auger collaboration
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Fil: Fil: Freir, M. M. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Física de Rosario (IFIR-CONICET); Argentina.
Fil: Fil: Micheletti, M. I. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Física de Rosario (IFIR-CONICET); Argentina.
Materia
Data analysis
Pattern recognition
Cluster finding
Calibration and fitting methods
Large detector systems for particle and astroparticle physics
Particle identification methods
Nivel de accesibilidad
acceso abierto
Condiciones de uso
Attribution 4.0 International (CC BY 4.0)
Repositorio
RepHipUNR (UNR)
Institución
Universidad Nacional de Rosario
OAI Identificador
oai:rephip.unr.edu.ar:2133/23338
Acceder
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oai_identifier_str oai:rephip.unr.edu.ar:2133/23338
network_acronym_str RepHipUNR
repository_id_str 1550
network_name_str RepHipUNR (UNR)
spelling Deep-learning based reconstruction of the shower maximum Xmax using the water-Cherenkov detectors of the Pierre Auger ObservatoryFreir, M. M.Micheletti, M. I.The Pierre Auger collaborationData analysisPattern recognitionCluster findingCalibration and fitting methodsLarge detector systems for particle and astroparticle physicsParticle identification methodsFil: Fil: Freir, M. M. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Física de Rosario (IFIR-CONICET); Argentina.Fil: Fil: Micheletti, M. I. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Física de Rosario (IFIR-CONICET); Argentina.IOP Publishing2021-07-14info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/2133/23338urn:issn: 1748-0221enginfo:eu-repo/semantics/openAccessAttribution 4.0 International (CC BY 4.0)http://creativecommons.org/licenses/by/2.5/ar/Licencia RepHipreponame:RepHipUNR (UNR)instname:Universidad Nacional de Rosario2025-10-23T11:16:26Zoai:rephip.unr.edu.ar:2133/23338instacron:UNRInstitucionalhttps://rephip.unr.edu.ar/Universidad públicaNo correspondehttps://rephip.unr.edu.ar/oai/requestrephip@unr.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:15502025-10-23 11:16:26.743RepHipUNR (UNR) - Universidad Nacional de Rosariofalse
dc.title.none.fl_str_mv Deep-learning based reconstruction of the shower maximum Xmax using the water-Cherenkov detectors of the Pierre Auger Observatory
title Deep-learning based reconstruction of the shower maximum Xmax using the water-Cherenkov detectors of the Pierre Auger Observatory
spellingShingle Deep-learning based reconstruction of the shower maximum Xmax using the water-Cherenkov detectors of the Pierre Auger Observatory
Freir, M. M.
Data analysis
Pattern recognition
Cluster finding
Calibration and fitting methods
Large detector systems for particle and astroparticle physics
Particle identification methods
title_short Deep-learning based reconstruction of the shower maximum Xmax using the water-Cherenkov detectors of the Pierre Auger Observatory
title_full Deep-learning based reconstruction of the shower maximum Xmax using the water-Cherenkov detectors of the Pierre Auger Observatory
title_fullStr Deep-learning based reconstruction of the shower maximum Xmax using the water-Cherenkov detectors of the Pierre Auger Observatory
title_full_unstemmed Deep-learning based reconstruction of the shower maximum Xmax using the water-Cherenkov detectors of the Pierre Auger Observatory
title_sort Deep-learning based reconstruction of the shower maximum Xmax using the water-Cherenkov detectors of the Pierre Auger Observatory
dc.creator.none.fl_str_mv Freir, M. M.
Micheletti, M. I.
The Pierre Auger collaboration
author Freir, M. M.
author_facet Freir, M. M.
Micheletti, M. I.
The Pierre Auger collaboration
author_role author
author2 Micheletti, M. I.
The Pierre Auger collaboration
author2_role author
author
dc.subject.none.fl_str_mv Data analysis
Pattern recognition
Cluster finding
Calibration and fitting methods
Large detector systems for particle and astroparticle physics
Particle identification methods
topic Data analysis
Pattern recognition
Cluster finding
Calibration and fitting methods
Large detector systems for particle and astroparticle physics
Particle identification methods
dc.description.none.fl_txt_mv Fil: Fil: Freir, M. M. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Física de Rosario (IFIR-CONICET); Argentina.
Fil: Fil: Micheletti, M. I. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Física de Rosario (IFIR-CONICET); Argentina.
description Fil: Fil: Freir, 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 2021-07-14
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/2133/23338
urn:issn: 1748-0221
url http://hdl.handle.net/2133/23338
identifier_str_mv urn:issn: 1748-0221
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
Attribution 4.0 International (CC BY 4.0)
http://creativecommons.org/licenses/by/2.5/ar/
Licencia RepHip
eu_rights_str_mv openAccess
rights_invalid_str_mv Attribution 4.0 International (CC BY 4.0)
http://creativecommons.org/licenses/by/2.5/ar/
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
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score 12.982451

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