Abstract
6LQFH6RODU)ODUHVDUHDVVRFLDWHGZLWKWKHVXQVSRWV 6RODUÀDUHVKDYHGLIIHUHQWOHQJWK GXUDWLRQ and peakness in different intervals as sunspots have. The Solar Flares index data starting from 1966 to 2008 (Monthly Flare Index Cycles "20, 21, 22, 23") in both North and South hemisphere separately along with total Solar Flares data. This paper compared the North, South and total hemispheric Solar Flares data in perspective of probability distributions such as Gamma, Log-Gamma and Chi-square which tested by Kolmogrove-Smirnov D-test and then their persistency by using fractal dimension. Further we estimate the Hurst exponent with the help of fractal dimension. Fractal dimension shows complex of the data while Hurst exponent represents smoothness of the data. All the tested probability distributions in this paper show persistency and positively correlated. The use of probability distributions allows to represents the XQFHUWDLQWLHVLQWKHVRODUÀDUHVGDWD 7KLVVWXG\ZLOOEHKHOSIXOWRYHULI\WKHORQJWHUPVPRRWKQHVVRIGDWD trends and conclude the results will be present so forecast values will be more accurate.

Danish Hassan, Shaheen Abbas, M.R.K Ansari, Bulbul Jan. (2014) Solar Flares Data Analysis on application of Probability Distributions and Fractal Dimensions and a comparative analysis of North-South Hemispheric Solar Flares Data Behavior , , Volume 51, Issue 4.
  • Views 214
  • Downloads
Previous Article 

Article Details

Volume
Issue
Type
Language