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A statistical study on photospheric active-region magnetic nonpotentiality and associated flares during solar cycles 22 – 23

Published online by Cambridge University Press:  18 July 2013

Xiao Yang
Affiliation:
KLSA, National Astronomical Observatories, Chinese Academy of Sciences, 20A Datun Road, Beijing 100012, China email: yangx@nao.cas.cn
HongQi Zhang
Affiliation:
KLSA, National Astronomical Observatories, Chinese Academy of Sciences, 20A Datun Road, Beijing 100012, China email: yangx@nao.cas.cn
GangHua Lin
Affiliation:
KLSA, National Astronomical Observatories, Chinese Academy of Sciences, 20A Datun Road, Beijing 100012, China email: yangx@nao.cas.cn
Yu Gao
Affiliation:
KLSA, National Astronomical Observatories, Chinese Academy of Sciences, 20A Datun Road, Beijing 100012, China email: yangx@nao.cas.cn
Juan Guo
Affiliation:
KLSA, National Astronomical Observatories, Chinese Academy of Sciences, 20A Datun Road, Beijing 100012, China email: yangx@nao.cas.cn
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Abstract

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Using photospheric data obtained by vector magnetograph in Huairou Solar Observing Station of China, we have statistically studied the strength evolution of several magnetic nonpotentiality measures, along with a quantified parameter characterizing the active-region magnetic complexity – effective distance, and their relationship with associated flares during the latest 22nd and 23rd solar cycles. And the flare-prediction performance of these magnetic nonpotentiality and complexity parameters is verified by a machine learning technique.

Type
Contributed Papers
Copyright
Copyright © International Astronomical Union 2013 

References

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