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Physical Science International Journal, ISSN: 2348-0130,Vol.: 13, Issue.: 4

Original-research-article

Study of Sunspot Time Series Using Wavelet-based Multifractal Analysis during Solar Cycle 23 and Ascending Phase of Cycle 24

 

S. K. Kasde1*, D. K. Sondhiya2 and A. K. Gwal3

1Space Science Research Laboratory, Department of Physics and Electronics, Barkatullah University, Bhopal 462 026, India.

2Department of Education in Science and Mathematics, Regional Institute of Education, Shyamla Hills, Bhopal 462013, India.

3AISECT University, Chiklod Road, Raisen, 464993, India.

Article Information
Editor(s):
(1) Kazuharu Bamba, Division of Human Support System, Faculty of Symbiotic Systems Science, Fukushima University, Japan.
(2) Stefano Moretti, School of Physics & Astronomy, University of Southampton, UK.
Reviewers:
(1) Jagdish Prakash, University of Botswana, Botswana.
(2) Samsul Ariffin Bin Abdul Karim, Universiti Teknologi Petronas, Malaysia.
(3) Loukas Zachilas, University of Thessaly, Greece.
Complete Peer review History: http://www.sciencedomain.org/review-history/18059

Abstracts

Wavelet based Multifractal analysis techniques provides a sophisticated statistical characterization of many complex dynamical phenomena related with Sun and its environment. In this work multifractal property of the Sunspot number time series, has been analyzed during Solar cycle 23 and ascending phase of Solar cycle 24 using Wavelet transform and wavelet based multifractal approach. Present analysis has been performed using the software FRACLAB, developed at INRIA and available online at http://www-rocq.inria.fr. It was found that the singularities spectrum for sunspot time series was well Gaussian in shape suggesting the multifractal characteristics of time series. Thus we conclude that the multifractal based approach provide the local and adaptive description of dynamical processes related with Sun and its climate and can be applied effectively in the study of solar activity.

Keywords :

Sunspot number; magnetic field; multifractal analysis and wavelet transform technique.

Full Article - PDF    Page 1-12

DOI : 10.9734/PSIJ/2017/30319

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