Fractal analysis applied to light curves of δ Scuti stars

DOI: 
10.1093/mnras/sty2496
Publication date: 
01/09/2018
Main author: 
de Franciscis, S.
IAA authors: 
de Franciscis, S.;Pascual-Granado, J.;Suárez, J. C.;Garrido, R.
Authors: 
de Franciscis, S.;Pascual-Granado, J.;Suárez, J. C.;García Hernández, A.;Garrido, R.
Journal: 
Monthly Notices of the Royal Astronomical Society
Refereed: 
Yes
Publication type: 
Article
Pages: 
2382
Abstract: 
Fractal behaviour, i.e. scale invariance in spatio-temporal dynamics, have been found to describe and model many systems in nature, in particular fluid mechanics and geophysical related geometrical objects, like the convective boundary layer of cumulus cloud fields, topographic landscapes, solar granulation patterns, and observational astrophysical time series, like light curves of pulsating stars. The main interest in the study of fractal properties in such physical phenomena lies in the close relationships they have with chaotic and turbulent dynamic. In this work we introduce some statistical tools for fractal analysis of light curves: Rescaled Range Analysis (R/S), Multifractal Spectra Analysis, and Coarse Graining Spectral Analysis (CGSA), an FFT based algorithm, which can discriminate in a time series the stochastic fractal power spectra from the harmonic one. An interesting application of fractal analysis in asteroseismology concerns the joint use of all these tools in order to develop classification criteria and algorithms for δ-Scuti pulsating stars. In fact from the fractal and multi-fractal fingerprints in the background noise of the light curves we could infer properties of different mechanism of stellar dynamic, among them rotation, modes excitation and magnetic activity.
Database: 
ADS
URL: 
https://ui.adsabs.harvard.edu/#abs/2018MNRAS.481.4637D/abstract
ADS Bibcode: 
2018MNRAS.481.4637D
Keywords: 
stars: oscillations;stars: variables: δ-Scuti;stars: activity;Astrophysics - Solar and Stellar Astrophysics