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Searching for failed eruptions interacting with overlying magnetic field

Published online by Cambridge University Press:  09 September 2016

Dominik Gronkiewicz ,
Tomasz Mrozek ,
Sylwester Kołomański  and
Martyna Chruślińska
Dominik Gronkiewicz
Affiliation:
Nicolaus Copernicus Astronomical Center, Polish Academy of Sciences, ul. Bartycka 18, 00-716 Warsaw, Poland email: [email protected] Astronomical Institute, University of Wrocław, ul. Kopernika 11, 51-622 Wrocław, Poland
Tomasz Mrozek
Affiliation:
Astronomical Institute, University of Wrocław, ul. Kopernika 11, 51-622 Wrocław, Poland Space Research Centre, PAS, ul. Kopernika 11, 51-622 Wrocław, Poland
Sylwester Kołomański
Affiliation:
Astronomical Institute, University of Wrocław, ul. Kopernika 11, 51-622 Wrocław, Poland
Martyna Chruślińska
Affiliation:
Astronomical Observatory, University of Warsaw, Al. Ujazdowskie 4, 00-478 Warsaw, Poland
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Abstract

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It is well known that not all solar flares are connected with eruptions followed by coronal mass ejection (CME). Even strongest X-class flares may not be accompanied by eruptions or are accompanied by failed eruptions. One of important factor that prevent eruption from developing into CME is strength of the magnetic field overlying flare site. Few observations show that active regions with specific magnetic configuration may produce many CME-less solar flares. Therefore, forecasts of geoeffective events based on active region properties have to take into account probability of confining solar eruptions. Present observations of SDO/AIA give a chance for deep statistical analysis of properties of an active region which may lead to confining an eruption. We developed automated method which can recognize eruptions in AIA images. With this tool we will be able to analyze statistical properties of failed eruptions observed by AIA telescope.

Keywords

Sun: coronaSun: atmospheric motionsmethods: data analysistechniques: image processing
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 11 , Symposium S320: Solar and Stellar Flares and their Effects on Planets , August 2015 , pp. 221 - 223
Copyright
Copyright © International Astronomical Union 2016 

References

Amari, T. & Luciani, J. F. 1999, ApJL, 515, L81 Google Scholar
Archontis, V. and Török, T. 2008, A&A, 492, L35 Google Scholar
Gilbert, H. R., Alexander, D., & Liu, R. 2007, Sol. Phys., 245, 287 Google Scholar
Hurlburt, N., Cheung, M., & Schrijver, C., et al. 2012, Sol. Phys. 275 67–78 Google Scholar
Hurlburt, N. 2015, arXiv preprint, 1504.03395Google Scholar
Ji, H., Wang, H., Schmahl, E. J., Moon, Y.-J., & Jiang, Y. 2003, ApJL, 595, L135 Google Scholar
Kushwaha, U., Joshi, B., Veronig, A. M., & Moon, Y.-J. 2015, arXiv preprint, 1504.01888Google Scholar
Mrozek, T. 2011, Sol. Phys., 270, 191 CrossRefGoogle Scholar
Netzel, A., Mrozek, T., Kołomański, S., & Gburek, S. 2012, A&A, 548, A89 Google Scholar
Song, H. Q., Zhang, Jie., & Cheng, Xin., et al. 2014, ApJ, 784, 48 CrossRefGoogle Scholar
Török, T. & Kliem, B. 2005, ApJL, 630, L97 Google Scholar
Vršnak, B. 1990, Sol. Phys., 129, 295 Google Scholar
Wang, Y. and Zhang, J. 2007, ApJ, 665, 1428 Google Scholar