Multifractality signatures in quasars time series – I. 3C 273
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 interm...
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ri-123456789-294072020-07-05T07:47:02Z Multifractality signatures in quasars time series – I. 3C 273 Martins, Bruno Leonardo Canto Belete, A. Bewketu Bravo, J. P. Leão, I. C. Araujo, J. M. de Medeiros, J.R. de Methods: statistical Galaxies: active Quasars: individual: 3C 273. 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. 2020-07-02T21:15:23Z 2020-07-02T21:15:23Z 2018-05-18 article 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) https://repositorio.ufrn.br/jspui/handle/123456789/29407 http://dx.doi.org/10.1093/mnras/sty1316 en application/pdf Oxford University Press (OUP) |
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Methods: statistical Galaxies: active Quasars: individual: 3C 273. |
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Methods: statistical Galaxies: active Quasars: individual: 3C 273. Martins, Bruno Leonardo Canto Belete, A. Bewketu Bravo, J. P. Leão, I. C. Araujo, J. M. de Medeiros, J.R. de Multifractality signatures in quasars time series – I. 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. |
format |
article |
author |
Martins, Bruno Leonardo Canto Belete, A. Bewketu Bravo, J. P. Leão, I. C. Araujo, J. M. de Medeiros, J.R. de |
author_facet |
Martins, Bruno Leonardo Canto Belete, A. Bewketu Bravo, J. P. Leão, I. C. Araujo, J. M. de Medeiros, J.R. de |
author_sort |
Martins, Bruno Leonardo Canto |
title |
Multifractality signatures in quasars time series – I. 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 |
publisher |
Oxford University Press (OUP) |
publishDate |
2020 |
url |
https://repositorio.ufrn.br/jspui/handle/123456789/29407 http://dx.doi.org/10.1093/mnras/sty1316 |
work_keys_str_mv |
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