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
- Institución
- Universidad Nacional de Rosario
- OAI Identificador
- oai:rephip.unr.edu.ar:2133/23413
Ver los metadatos del registro completo
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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 |
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1844618797287211008 |
score |
13.070432 |