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
- Institución
- Universidad Nacional de Rosario
- OAI Identificador
- oai:rephip.unr.edu.ar:2133/23338
Ver los metadatos del registro completo
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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 Rosario2025-09-29T13:42:08Zoai: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:15502025-09-29 13:42:08.317RepHipUNR (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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1844618796920209408 |
score |
13.070432 |