Multifractality signatures in quasars time series – I. 3C 273
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , |
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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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 |
format |
article |
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) |
url |
https://repositorio.ufrn.br/jspui/handle/123456789/29407 http://dx.doi.org/10.1093/mnras/sty1316 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
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openAccess |
dc.publisher.none.fl_str_mv |
Oxford University Press (OUP) |
publisher.none.fl_str_mv |
Oxford University Press (OUP) |
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reponame:Repositório Institucional da UFRN instname:Universidade Federal do Rio Grande do Norte (UFRN) instacron:UFRN |
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Universidade Federal do Rio Grande do Norte (UFRN) |
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UFRN |
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UFRN |
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Repositório Institucional da UFRN |
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Repositório Institucional da UFRN |
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