Analysis of pulsating variable stars using the visibility graph algorithm

We study the light curves of pulsating variable stars using a complex network approach to build visibility graphs. We consider various types of variables stars (e.g., Cepheids, δ Scuti, RR Lyrae), build two types of graphs (the normal visibility graph (VG) and the horizontal visibility graph (HVG)),...

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Autores principales: Víctor Muñoz, N. Elizabeth Garcés
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Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2021
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Acceso en línea:https://doaj.org/article/62af3a932db548579881e6b645bb70ca
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spelling oai:doaj.org-article:62af3a932db548579881e6b645bb70ca2021-11-25T06:19:46ZAnalysis of pulsating variable stars using the visibility graph algorithm1932-6203https://doaj.org/article/62af3a932db548579881e6b645bb70ca2021-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8598052/?tool=EBIhttps://doaj.org/toc/1932-6203We study the light curves of pulsating variable stars using a complex network approach to build visibility graphs. We consider various types of variables stars (e.g., Cepheids, δ Scuti, RR Lyrae), build two types of graphs (the normal visibility graph (VG) and the horizontal visibility graph (HVG)), and calculate various metrics for the resulting networks. We find that all networks have a power-law degree distribution for the VG and an exponential distribution for the HVG, suggesting that it is a universal feature, regardless of the pulsation features. Metrics such as the average degree, the clustering coefficient and the transitivity coefficient, can distinguish between some star types. We also observe that the results are not strongly affected by the presence of observation gaps in the light curves. These findings suggest that the visibility graph algorithm may be a useful technique to study variability in stars.Víctor MuñozN. Elizabeth GarcésPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 11 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Víctor Muñoz
N. Elizabeth Garcés
Analysis of pulsating variable stars using the visibility graph algorithm
description We study the light curves of pulsating variable stars using a complex network approach to build visibility graphs. We consider various types of variables stars (e.g., Cepheids, δ Scuti, RR Lyrae), build two types of graphs (the normal visibility graph (VG) and the horizontal visibility graph (HVG)), and calculate various metrics for the resulting networks. We find that all networks have a power-law degree distribution for the VG and an exponential distribution for the HVG, suggesting that it is a universal feature, regardless of the pulsation features. Metrics such as the average degree, the clustering coefficient and the transitivity coefficient, can distinguish between some star types. We also observe that the results are not strongly affected by the presence of observation gaps in the light curves. These findings suggest that the visibility graph algorithm may be a useful technique to study variability in stars.
format article
author Víctor Muñoz
N. Elizabeth Garcés
author_facet Víctor Muñoz
N. Elizabeth Garcés
author_sort Víctor Muñoz
title Analysis of pulsating variable stars using the visibility graph algorithm
title_short Analysis of pulsating variable stars using the visibility graph algorithm
title_full Analysis of pulsating variable stars using the visibility graph algorithm
title_fullStr Analysis of pulsating variable stars using the visibility graph algorithm
title_full_unstemmed Analysis of pulsating variable stars using the visibility graph algorithm
title_sort analysis of pulsating variable stars using the visibility graph algorithm
publisher Public Library of Science (PLoS)
publishDate 2021
url https://doaj.org/article/62af3a932db548579881e6b645bb70ca
work_keys_str_mv AT victormunoz analysisofpulsatingvariablestarsusingthevisibilitygraphalgorithm
AT nelizabethgarces analysisofpulsatingvariablestarsusingthevisibilitygraphalgorithm
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