Open AccessAnalysis of HD 73045 light curve data
Author(s) -
Mrinal K. Das,
Naveen Kumar Bhatraju,
Santosh Joshi
Publication year - 2018
Publication title -
bulletin de la société royale des sciences de liège
Language(s) - English
Resource type - Journals
ISSN - 1783-5720
DOI - 10.25518/0037-9565.7616
Subject(s) - wavelet , detrended fluctuation analysis , spectral density , wavelet transform , multifractal system , mathematics , light curve , entropy (arrow of time) , visibility graph , time series , sample entropy , statistics , statistical physics , scaling , computer science , physics , mathematical analysis , fractal , artificial intelligence , geometry , quantum mechanics , regular polygon , astrophysics
In this work we analyzed the Kepler light curve data of HD 73045. The raw data has been smoothened using standard filters. The power spectrum has been obtained by using a fast Fourier transform routine. It shows the presence of more than one period. In order to take care of any non-stationary behavior, we carried out a wavelet analysis to obtain the wavelet power spectrum. In addition, to identify the scale invariant structure, the data has been analyzed using a multifractal detrended fluctuation analysis. Further to characterize the diversity of embedded patterns in the HD 73045 flux time series, we computed various entropy-based complexity measures e.g. sample entropy, spectral entropy and permutation entropy. The presence of periodic structure in the time series was further analyzed using the visibility network and horizontal visibility network model of the time series. The degree distributions in the two network models confirm such structures.