2019
DOI: 10.3847/1538-4357/ab2a0c
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New Suns in the Cosmos. V. Stellar Rotation and Multifractality in Active Kepler Stars

Abstract: In the present study, high-precision time series photometry for the active Kepler stars is described in the language of multifractals. We explore the potential of using the rescaled range analysis (R/S) and multifractal detrended moving average analysis (MFDMA) methods to characterize the multiscale structure of the observed time series from a sample of ∼40 000 active stars. Among these stars, 6486 have surface differential rotation measurement, whereas 1846 have no signature of differential rotation. As a res… Show more

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Cited by 5 publications
(10 citation statements)
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References 78 publications
(99 reference statements)
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“…In the latter case, the PDC and SAP timeseries, as well as the difference RTS data, are examined considering the generalized dependence of the local Hurst exponent on the timescale τ by means of the surface h(q, τ). We also consider the impact of the rotational modulation on the characterization of the multifractal properties of the light fluctuations, as already investigated by de Freitas et al (2013bde Freitas et al ( , 2016de Freitas et al ( , 2017de Freitas et al ( , 2019a, and show that such an impact depends on the timescale. Furthermore, we applied a maximum entropy spot modelling to extract information on the longitude, the area variation, and the evolutionary timescales of the active regions responsible for the rotational modulation of the stellar flux.…”
Section: Discussionmentioning
confidence: 84%
See 2 more Smart Citations
“…In the latter case, the PDC and SAP timeseries, as well as the difference RTS data, are examined considering the generalized dependence of the local Hurst exponent on the timescale τ by means of the surface h(q, τ). We also consider the impact of the rotational modulation on the characterization of the multifractal properties of the light fluctuations, as already investigated by de Freitas et al (2013bde Freitas et al ( , 2016de Freitas et al ( , 2017de Freitas et al ( , 2019a, and show that such an impact depends on the timescale. Furthermore, we applied a maximum entropy spot modelling to extract information on the longitude, the area variation, and the evolutionary timescales of the active regions responsible for the rotational modulation of the stellar flux.…”
Section: Discussionmentioning
confidence: 84%
“…Recently, de Freitas et al (2019a,b) extended the field of application to timeseries showing more than one significant rotational periodicity, which can be considered as an indication of stellar differential rotation. Using a large sample of Kepler active stars, de Freitas et al (2019a) showed that in the relationship between the Hurst exponent and the relative amplitude of the differential rotation ∆P/P a strong trend of increasing ∆P/P toward larger H-index is observed. In addition, the study shows that the correlation is stronger for the most active stars in the sample.…”
Section: Origins Of Multifractality and The Impact Of Quasi-periodic ...mentioning
confidence: 99%
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“…Over recent years, several methods have been applied to investigate the (multi)fractal structure of time-series in astrophysical systems (e.g. de Freitas et al 2016de Freitas et al , 2017de Freitas et al , 2019aBelete et al 2018;de Franciscis et al 2019). The estimation of local fluctuations and long-term dependency of astrophysical timeseries is a problem that has recently been studied to understand the effect of long-memory processes caused by stellar rotation (de Freitas et al 2019a,b).…”
Section: Introductionmentioning
confidence: 99%
“…As discussed by de Freitas et al (2013a), the global Hurst exponent (Hurst 1951) is a powerful (multi)fractal indicator for analysing CoRoT and Kepler timeseries, which is mainly used to elucidate the persistence due to rotational modulation in the series themselves. Recently, a novel technique proposed by Gu & Zhou (2010), known as the multifractal detrended moving average (MFDMA) method, was applied for the multifractal characterisation of Kepler time-series (de Freitas et al 2017(de Freitas et al , 2019a. The MFDMA method filters out the local trends of non-stationary series by subtracting the local means.…”
Section: Introductionmentioning
confidence: 99%