Characterizing long-term cosmic ray time series with geometric network curvature metrics

This study investigates the relationship between geometry and nonlinear dynamics in time series of cosmic ray counts recorded at neutron monitors at ground stations. Using advanced geometric and topological analysis techniques, we construct complex networks from the time series and calculate curvatu...

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Autores:
Sierra Porta, David
Tipo de recurso:
Article of investigation
Fecha de publicación:
2025
Institución:
Universidad Tecnológica de Bolívar
Repositorio:
Repositorio Institucional UTB
Idioma:
eng
OAI Identifier:
oai:repositorio.utb.edu.co:20.500.12585/13222
Acceso en línea:
https://hdl.handle.net/20.500.12585/13222
Palabra clave:
Geomagnetic rigidity cutoff
Cosmic rays
Space weather
Topological data analysis
LEMB
Rights
openAccess
License
http://purl.org/coar/access_right/c_abf2
id UTB2_9d8face538ec2b754809bb1aec90da6b
oai_identifier_str oai:repositorio.utb.edu.co:20.500.12585/13222
network_acronym_str UTB2
network_name_str Repositorio Institucional UTB
repository_id_str
dc.title.spa.fl_str_mv Characterizing long-term cosmic ray time series with geometric network curvature metrics
title Characterizing long-term cosmic ray time series with geometric network curvature metrics
spellingShingle Characterizing long-term cosmic ray time series with geometric network curvature metrics
Geomagnetic rigidity cutoff
Cosmic rays
Space weather
Topological data analysis
LEMB
title_short Characterizing long-term cosmic ray time series with geometric network curvature metrics
title_full Characterizing long-term cosmic ray time series with geometric network curvature metrics
title_fullStr Characterizing long-term cosmic ray time series with geometric network curvature metrics
title_full_unstemmed Characterizing long-term cosmic ray time series with geometric network curvature metrics
title_sort Characterizing long-term cosmic ray time series with geometric network curvature metrics
dc.creator.fl_str_mv Sierra Porta, David
dc.contributor.author.none.fl_str_mv Sierra Porta, David
dc.subject.keywords.spa.fl_str_mv Geomagnetic rigidity cutoff
Cosmic rays
Space weather
Topological data analysis
topic Geomagnetic rigidity cutoff
Cosmic rays
Space weather
Topological data analysis
LEMB
dc.subject.armarc.none.fl_str_mv LEMB
description This study investigates the relationship between geometry and nonlinear dynamics in time series of cosmic ray counts recorded at neutron monitors at ground stations. Using advanced geometric and topological analysis techniques, we construct complex networks from the time series and calculate curvature measures such as Ollivier-Ricci curvature, Forman-Ricci curvature, and Ricci flow for each series. The analysis reveals significant correlations between these curvature metrics and key parameters such as geomagnetic cutoff rigidity and detector latitude. In particular, Forman-Ricci curvature exhibits a robust negative correlation with cutoff rigidity (Pearson , Spearman , -value ), while Ricci flow also shows a strong and highly significant inverse relationship with cutoff rigidity (Pearson , Spearman , -value ). These results suggest that the geometrical structure of the networks, influenced by geomagnetic conditions, plays a crucial role in the variability, complexity, and fractality of cosmic ray time series. Furthermore, the study underscores the importance of considering network topology and curvature metrics in the analysis of cosmic ray data, offering new perspectives for understanding space weather phenomena and improving predictive models. This integrative approach not only advances our knowledge of cosmic ray dynamics, but also has important implications for mitigating risks associated with space weather conditions on Earth.
publishDate 2025
dc.date.accessioned.none.fl_str_mv 2025-01-13T18:28:15Z
dc.date.available.none.fl_str_mv 2025-01-13T18:28:15Z
dc.date.issued.none.fl_str_mv 2025-01-13
dc.date.submitted.none.fl_str_mv 2025-01-13
dc.type.spa.fl_str_mv Artículo de revista
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dc.identifier.citation.spa.fl_str_mv Sierra-Porta, D. (2025). Characterizing long-term cosmic ray time series with geometric network curvature metrics. Journal of Atmospheric and Solar-Terrestrial Physics, 268, 106418. https://doi.org/10.1016/j.jastp.2025.106418
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12585/13222
dc.identifier.doi.none.fl_str_mv 10.1016/j.jastp.2025.106418
dc.identifier.instname.spa.fl_str_mv Universidad Tecnológica de Bolívar
dc.identifier.reponame.spa.fl_str_mv Repositorio Universidad Tecnológica de Bolívar
identifier_str_mv Sierra-Porta, D. (2025). Characterizing long-term cosmic ray time series with geometric network curvature metrics. Journal of Atmospheric and Solar-Terrestrial Physics, 268, 106418. https://doi.org/10.1016/j.jastp.2025.106418
10.1016/j.jastp.2025.106418
Universidad Tecnológica de Bolívar
Repositorio Universidad Tecnológica de Bolívar
url https://hdl.handle.net/20.500.12585/13222
dc.language.iso.spa.fl_str_mv eng
language eng
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dc.format.extent.none.fl_str_mv 11 pag.
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dc.coverage.spatial.none.fl_str_mv Colombia
dc.publisher.place.spa.fl_str_mv Cartagena de Indias
dc.publisher.faculty.spa.fl_str_mv Ciencias Básicas
dc.publisher.sede.spa.fl_str_mv Campus Tecnológico
dc.source.spa.fl_str_mv Journal of Atmospheric and Solar-Terrestrial Physics
institution Universidad Tecnológica de Bolívar
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spelling Sierra Porta, Davidvirtual::378-1Colombia2025-01-13T18:28:15Z2025-01-13T18:28:15Z2025-01-132025-01-13Sierra-Porta, D. (2025). Characterizing long-term cosmic ray time series with geometric network curvature metrics. Journal of Atmospheric and Solar-Terrestrial Physics, 268, 106418. https://doi.org/10.1016/j.jastp.2025.106418https://hdl.handle.net/20.500.12585/1322210.1016/j.jastp.2025.106418Universidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarThis study investigates the relationship between geometry and nonlinear dynamics in time series of cosmic ray counts recorded at neutron monitors at ground stations. Using advanced geometric and topological analysis techniques, we construct complex networks from the time series and calculate curvature measures such as Ollivier-Ricci curvature, Forman-Ricci curvature, and Ricci flow for each series. The analysis reveals significant correlations between these curvature metrics and key parameters such as geomagnetic cutoff rigidity and detector latitude. In particular, Forman-Ricci curvature exhibits a robust negative correlation with cutoff rigidity (Pearson , Spearman , -value ), while Ricci flow also shows a strong and highly significant inverse relationship with cutoff rigidity (Pearson , Spearman , -value ). These results suggest that the geometrical structure of the networks, influenced by geomagnetic conditions, plays a crucial role in the variability, complexity, and fractality of cosmic ray time series. Furthermore, the study underscores the importance of considering network topology and curvature metrics in the analysis of cosmic ray data, offering new perspectives for understanding space weather phenomena and improving predictive models. This integrative approach not only advances our knowledge of cosmic ray dynamics, but also has important implications for mitigating risks associated with space weather conditions on Earth.11 pag.Pdfapplication/pdfengJournal of Atmospheric and Solar-Terrestrial PhysicsCharacterizing long-term cosmic ray time series with geometric network curvature metricsArtículo de revistainfo:eu-repo/semantics/articleinfo:eu-repo/semantics/drafthttp://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_b1a7d7d4d402bcceGeomagnetic rigidity cutoffCosmic raysSpace weatherTopological data analysisLEMBinfo:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Cartagena de IndiasCiencias BásicasCampus TecnológicoPúblico generalP. K. Grieder, Cosmic rays at Earth, Elsevier, 2001. doi:https://ui.adsabs.harvard.edu/link_gateway/2001cre..book.....G/doi: 10.1016/B978-0-444-50710-5.X5000-3J. F. 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Kilcik, Analysis of the cosmic ray effects on sentinel-1 sar satellite data, Aerospace 8 (2021) 62. doi:https://doi.org/10.3390/aerospace8030062.http://purl.org/coar/resource_type/c_6501Publication996a607a-3eb1-4484-8978-ed736b9fc0b7virtual::378-1996a607a-3eb1-4484-8978-ed736b9fc0b7virtual::378-1ORIGINALRicci_neutron_monitors_rigidity_JASTP.pdfRicci_neutron_monitors_rigidity_JASTP.pdfapplication/pdf311986https://repositorio.utb.edu.co/bitstreams/b5813834-64e5-49bc-9e98-b7c98a8a8c09/download4fce317e993c148ea9a535470a2d2feaMD51trueAnonymousREADLICENSElicense.txtlicense.txttext/plain; charset=utf-83182https://repositorio.utb.edu.co/bitstreams/5fdd7fca-afc5-4b21-8750-1c576791dbd4/downloade20ad307a1c5f3f25af9304a7a7c86b6MD52falseAnonymousREADTEXTRicci_neutron_monitors_rigidity_JASTP.pdf.txtRicci_neutron_monitors_rigidity_JASTP.pdf.txtExtracted 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