Hostname: page-component-78c5997874-ndw9j Total loading time: 0 Render date: 2024-11-14T05:58:29.770Z Has data issue: false hasContentIssue false
  • English
  • Français

Application of Statistical Methods on Automated Recognition of Solar Activity Phenomena and Analysis of Their Correlation

Published online by Cambridge University Press:  01 July 2015

Ganghua Lin
Ganghua Lin*
Affiliation:
Key Laboratory of Solar Activity, Chinese Academy of Sciences National Astronomical Observatories, Chinese Academy of Sciences Datun Rd.20A, Chaoyang District, Beijing, China email: lgh@bao.ac.cn
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

The recent immense volume of observation data has urged us to recognize solar features and to analyze their correlation with automation methods, and many of these automation methods are closely related to statistical methods. Author investigations the extensive literatures to sum up the function of statistical methods and their advantages in recognizing automatically solar features and analyzing their correlation. The review lists the results and summarizes conclusions of the investigations. The results and conclusions will be helpful to promote the further automation processing.

Keywords

solar featurerecognitionautomationmethods: data analysisstatistics
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 10 , Symposium S306: Statistical Challenges in 21st Century Cosmology , May 2014 , pp. 313 - 315
Copyright
Copyright © International Astronomical Union 2015 

References

Biskri, S., Antoine, J.-P., Inhester, B., & Mekideche, F. 2010, SoPh., 373, 385Google Scholar
Colak, T. & Qahwaji, R. 2008, SoPh., 277, 296Google Scholar
Colak, T., Colak, , Tufan, , Qahwaji, , Rami, , Ipson, , Stan, , Ugail, , & Hassan, 2011, Advances in Space Research, 2092, 2104Google Scholar
Croat, T. K., Stadermann, F. J., & Bernatowicz, T. J. 2005, ApJ., 631, 976Google Scholar
Gonzlez-Gmez, D. I., Blanco-Cano, X., & Raga, A. C. 2010, SoPh., 337, 247Google Scholar
Higgins, P. A., Gallagher, P. T., McAteer, R. T. J., & Bloomfield, D. S. 2010, Advances in Space Research, 2105, 2117Google Scholar
Ireland, J., Marsh, M. S., Kucera, T. A., & Young, C. A. 2010, SoPh., 403, 431Google Scholar
Isabelle, F. Scholl & Habbal, Shadia Rifai 2007, SoPh., 403, 431Google Scholar
Lodders, K. & Fegley, B. 1998, Meteorit. Planet. Sci., 33, 871Google Scholar
Qu, Ming, Shih, Frank Y., Jing, Ju, & Wang, Haimin 2000, SoPh., 157, 172Google Scholar
Qu, Ming, Shih, Frank Y., Jing, Ju, & Wang, Haimin 2005, SoPh., 119, 135Google Scholar
Ott, U., Altmaier, M., Herpers, U., Kuhnhenn, J., Merchel, S., Michel, R., & Mohapatra, R. K. 2005, Meteorit. Planet. Sci., 40, 1635Google Scholar
Jie, Zhang, Wang, , Yuming, , Liu, , & Yang, 2010, ApJ., 1006, 1018Google Scholar
Zharkova, V. V. & Schetinin, V. 2005, SoPh., 137, 148Google Scholar
Zharkov, S. I., Zharkova, V. V., & Ipson, S. S. 2005, SoPh., 377, 397Google Scholar