Multifractality signatures in quasars time series – I. 3C 273

Detalhes bibliográficos
Autor(a) principal: Martins, Bruno Leonardo Canto
Data de Publicação: 2018
Outros Autores: Belete, A. Bewketu, Bravo, J. P., Leão, I. C., Araujo, J. M. de, Medeiros, J.R. de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFRN
Texto Completo: https://repositorio.ufrn.br/jspui/handle/123456789/29407
http://dx.doi.org/10.1093/mnras/sty1316
Resumo: The presence of multifractality in a time series shows different correlations for different timescales as well as intermittent behaviour that cannot be captured by a single scaling exponent. The identification of a multifractal nature allows for a characterization of the dynamics and of the intermittency of the fluctuations in non-linear and complex systems. In this study, we search for a possible multifractal structure (multifractality signature) of the flux variability in the quasar 3C 273 time series for all electromagnetic wavebands at different observation points, and the origins for the observed multifractality. This study is intended to highlight how the scaling behaves across the different bands of the selected candidate, which can be used as an additional new technique to group quasars based on the fractal signature observed in their time series and determine whether quasars are non-linear physical systems or not. The multifractal detrended moving average algorithm (MFDMA) has been used to study the scaling in non-linear, complex, and dynamic systems. To achieve this goal, we applied the backward (θ = 0) MFDMA method for one-dimensional signals. We observe weak multifractal (close to monofractal) behaviour in some of the time series of our candidate except in the mm, UV and X-ray bands. The non-linear temporal correlation is the main source of the observed multifractality in the time series whereas the heaviness of the distribution contributes less.
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spelling Martins, Bruno Leonardo CantoBelete, A. BewketuBravo, J. P.Leão, I. C.Araujo, J. M. deMedeiros, J.R. de2020-07-02T21:15:23Z2020-07-02T21:15:23Z2018-05-18BELETE, A Bewketu; BRAVO, J. P.; MARTINS, Bruno Leonardo Canto; LEÃO, I. C.; ARAUJO, J. M. de; MEDEIROS, J. R. de. Multifractality signatures in quasars time series – I. 3C 273. Monthly Notices Of The Royal Astronomical Society, [s.l.], v. 478, n. 3, p. 3976-3986, 18 maio 2018. ISSN 1365-2966 versão online. Disponível em: https://academic.oup.com/mnras/article-abstract/478/3/3976/4999923?redirectedFrom=fulltext. Acesso em: 02 jul. 2020. http://dx.doi.org/10.1093/mnras/sty1316.0035-8711 (print), 1365-2966 (online)https://repositorio.ufrn.br/jspui/handle/123456789/29407http://dx.doi.org/10.1093/mnras/sty1316Oxford University Press (OUP)Methods: statisticalGalaxies: activeQuasars: individual: 3C 273.Multifractality signatures in quasars time series – I. 3C 273info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleThe presence of multifractality in a time series shows different correlations for different timescales as well as intermittent behaviour that cannot be captured by a single scaling exponent. The identification of a multifractal nature allows for a characterization of the dynamics and of the intermittency of the fluctuations in non-linear and complex systems. In this study, we search for a possible multifractal structure (multifractality signature) of the flux variability in the quasar 3C 273 time series for all electromagnetic wavebands at different observation points, and the origins for the observed multifractality. This study is intended to highlight how the scaling behaves across the different bands of the selected candidate, which can be used as an additional new technique to group quasars based on the fractal signature observed in their time series and determine whether quasars are non-linear physical systems or not. The multifractal detrended moving average algorithm (MFDMA) has been used to study the scaling in non-linear, complex, and dynamic systems. To achieve this goal, we applied the backward (θ = 0) MFDMA method for one-dimensional signals. We observe weak multifractal (close to monofractal) behaviour in some of the time series of our candidate except in the mm, UV and X-ray bands. The non-linear temporal correlation is the main source of the observed multifractality in the time series whereas the heaviness of the distribution contributes less.engreponame:Repositório Institucional da UFRNinstname:Universidade Federal do Rio Grande do Norte (UFRN)instacron:UFRNinfo:eu-repo/semantics/openAccessORIGINALMultifractality signatures in quasars time series – I. 3C 273_2018.pdfMultifractality signatures in quasars time series – I. 3C 273_2018.pdfapplication/pdf3201990https://repositorio.ufrn.br/bitstream/123456789/29407/1/Multifractality%20signatures%20in%20quasars%20time%20series%20%e2%80%93%20I.%203C%20273_2018.pdf7abceb6e9d748a887e7b1fae4a543de5MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81484https://repositorio.ufrn.br/bitstream/123456789/29407/2/license.txte9597aa2854d128fd968be5edc8a28d9MD52TEXTMultifractality signatures in quasars time series – I. 3C 273_2018.pdf.txtMultifractality signatures in quasars time series – I. 3C 273_2018.pdf.txtExtracted texttext/plain57508https://repositorio.ufrn.br/bitstream/123456789/29407/3/Multifractality%20signatures%20in%20quasars%20time%20series%20%e2%80%93%20I.%203C%20273_2018.pdf.txtce53547c450a68d9be70615cc3ba1fcaMD53THUMBNAILMultifractality signatures in quasars time series – I. 3C 273_2018.pdf.jpgMultifractality signatures in quasars time series – I. 3C 273_2018.pdf.jpgGenerated Thumbnailimage/jpeg1692https://repositorio.ufrn.br/bitstream/123456789/29407/4/Multifractality%20signatures%20in%20quasars%20time%20series%20%e2%80%93%20I.%203C%20273_2018.pdf.jpgfca9d2387268387f635eddff0eb0a39eMD54123456789/294072020-07-05 04:47:02.321oai:https://repositorio.ufrn.br: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Repositório de PublicaçõesPUBhttp://repositorio.ufrn.br/oai/opendoar:2020-07-05T07:47:02Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN)false
dc.title.pt_BR.fl_str_mv Multifractality signatures in quasars time series – I. 3C 273
title Multifractality signatures in quasars time series – I. 3C 273
spellingShingle Multifractality signatures in quasars time series – I. 3C 273
Martins, Bruno Leonardo Canto
Methods: statistical
Galaxies: active
Quasars: individual: 3C 273.
title_short Multifractality signatures in quasars time series – I. 3C 273
title_full Multifractality signatures in quasars time series – I. 3C 273
title_fullStr Multifractality signatures in quasars time series – I. 3C 273
title_full_unstemmed Multifractality signatures in quasars time series – I. 3C 273
title_sort Multifractality signatures in quasars time series – I. 3C 273
author Martins, Bruno Leonardo Canto
author_facet Martins, Bruno Leonardo Canto
Belete, A. Bewketu
Bravo, J. P.
Leão, I. C.
Araujo, J. M. de
Medeiros, J.R. de
author_role author
author2 Belete, A. Bewketu
Bravo, J. P.
Leão, I. C.
Araujo, J. M. de
Medeiros, J.R. de
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Martins, Bruno Leonardo Canto
Belete, A. Bewketu
Bravo, J. P.
Leão, I. C.
Araujo, J. M. de
Medeiros, J.R. de
dc.subject.por.fl_str_mv Methods: statistical
Galaxies: active
Quasars: individual: 3C 273.
topic Methods: statistical
Galaxies: active
Quasars: individual: 3C 273.
description The presence of multifractality in a time series shows different correlations for different timescales as well as intermittent behaviour that cannot be captured by a single scaling exponent. The identification of a multifractal nature allows for a characterization of the dynamics and of the intermittency of the fluctuations in non-linear and complex systems. In this study, we search for a possible multifractal structure (multifractality signature) of the flux variability in the quasar 3C 273 time series for all electromagnetic wavebands at different observation points, and the origins for the observed multifractality. This study is intended to highlight how the scaling behaves across the different bands of the selected candidate, which can be used as an additional new technique to group quasars based on the fractal signature observed in their time series and determine whether quasars are non-linear physical systems or not. The multifractal detrended moving average algorithm (MFDMA) has been used to study the scaling in non-linear, complex, and dynamic systems. To achieve this goal, we applied the backward (θ = 0) MFDMA method for one-dimensional signals. We observe weak multifractal (close to monofractal) behaviour in some of the time series of our candidate except in the mm, UV and X-ray bands. The non-linear temporal correlation is the main source of the observed multifractality in the time series whereas the heaviness of the distribution contributes less.
publishDate 2018
dc.date.issued.fl_str_mv 2018-05-18
dc.date.accessioned.fl_str_mv 2020-07-02T21:15:23Z
dc.date.available.fl_str_mv 2020-07-02T21:15:23Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.citation.fl_str_mv BELETE, A Bewketu; BRAVO, J. P.; MARTINS, Bruno Leonardo Canto; LEÃO, I. C.; ARAUJO, J. M. de; MEDEIROS, J. R. de. Multifractality signatures in quasars time series – I. 3C 273. Monthly Notices Of The Royal Astronomical Society, [s.l.], v. 478, n. 3, p. 3976-3986, 18 maio 2018. ISSN 1365-2966 versão online. Disponível em: https://academic.oup.com/mnras/article-abstract/478/3/3976/4999923?redirectedFrom=fulltext. Acesso em: 02 jul. 2020. http://dx.doi.org/10.1093/mnras/sty1316.
dc.identifier.uri.fl_str_mv https://repositorio.ufrn.br/jspui/handle/123456789/29407
dc.identifier.issn.none.fl_str_mv 0035-8711 (print), 1365-2966 (online)
dc.identifier.doi.none.fl_str_mv http://dx.doi.org/10.1093/mnras/sty1316
identifier_str_mv BELETE, A Bewketu; BRAVO, J. P.; MARTINS, Bruno Leonardo Canto; LEÃO, I. C.; ARAUJO, J. M. de; MEDEIROS, J. R. de. Multifractality signatures in quasars time series – I. 3C 273. Monthly Notices Of The Royal Astronomical Society, [s.l.], v. 478, n. 3, p. 3976-3986, 18 maio 2018. ISSN 1365-2966 versão online. Disponível em: https://academic.oup.com/mnras/article-abstract/478/3/3976/4999923?redirectedFrom=fulltext. Acesso em: 02 jul. 2020. http://dx.doi.org/10.1093/mnras/sty1316.
0035-8711 (print), 1365-2966 (online)
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