scholarly journals A statistical analysis of current helicity and twist in solar active regions over the phases of the solar cycle using the spectro-polarimeter data of Hinode

2014 ◽  
Vol 67 (1) ◽  
pp. 6-6 ◽  
Author(s):  
K. Otsuji ◽  
T. Sakurai ◽  
K. Kuzanyan
Keyword(s):  
Statistical Analysis ◽  
Solar Cycle ◽  
Active Regions ◽  
Solar Active Regions ◽  
Current Helicity

scholarly journals Flare Occurrence in the Solar Active Regions with Reversed Helicity Sign

2001 ◽  
Vol 203 ◽  
pp. 247-250
Author(s):  
S. D. Bao ◽  
G. X. Ai ◽  
H. Q. Zhang
Keyword(s):  
Solar Cycle ◽  
Southern Hemisphere ◽  
Northern Hemisphere ◽  
Relative Number ◽  
Active Regions ◽  
Flare Activity ◽  
Sunspot Maximum ◽  
Solar Active Regions ◽  
Current Helicity

Based on the Huairou Solar Observing Station dataset, we computed the current helicity for several hundreds of active regions and found that: (1) Active regions that do not follow the hemispheric helicity sign rule show more flare activity than normal active regions. (2) The relative number of active regions with reversed helicity sign is higher near sunspot maximum. (3) It appears that during solar cycle 22 the southern hemisphere has more the reversed-sign active regions and stronger flare activity than the northern hemisphere.

The Hemispheric Sign Rule of Current Helicity during the Rising Phase of Cycle 23

2000 ◽  
Vol 179 ◽  
pp. 303-306
Author(s):  
S. D. Bao ◽  
G. X. Ai ◽  
H. Q. Zhang
Keyword(s):  
Solar Cycle ◽  
Southern Hemisphere ◽  
Northern Hemisphere ◽  
Active Regions ◽  
Hemispheric Preference ◽  
Current Helicity

AbstractWe compute the signs of two different current helicity parameters (i.e., αbestandHc) for 87 active regions during the rise of cycle 23. The results indicate that 59% of the active regions in the northern hemisphere have negative αbestand 65% in the southern hemisphere have positive. This is consistent with that of the cycle 22. However, the helicity parameterHcshows a weaker opposite hemispheric preference in the new solar cycle. Possible reasons are discussed.

scholarly journals Intermittency spectra of current helicity in solar active regions

2018 ◽  
Vol 480 (3) ◽  
pp. 3780-3787 ◽  
Author(s):  
A S Kutsenko ◽  
V I Abramenko ◽  
K M Kuzanyan ◽  
Haiqing Xu ◽  
Hongqi Zhang
Keyword(s):  
Active Regions ◽  
Solar Active Regions ◽  
Current Helicity

scholarly journals Extended statistical analysis of emerging solar active regions

2019 ◽  
Vol 484 (3) ◽  
pp. 4393-4400
Author(s):  
Alexander S Kutsenko ◽  
Valentina I Abramenko ◽  
Alexei A Pevtsov
Keyword(s):  
Statistical Analysis ◽  
Active Regions ◽  
Solar Active Regions

scholarly journals Current helicity and magnetic field anisotropy in solar active regions

2015 ◽  
Vol 454 (2) ◽  
pp. 1921-1930 ◽  
Author(s):  
H. Xu ◽  
R. Stepanov ◽  
K. Kuzanyan ◽  
D. Sokoloff ◽  
H. Zhang ◽  
...  
Keyword(s):  
Magnetic Field ◽  
Active Regions ◽  
Solar Active Regions ◽  
Current Helicity

scholarly journals Statistical Analysis of Acoustic Wave Power and Flows around Solar Active Regions

2018 ◽  
Vol 859 (1) ◽  
pp. 7 ◽  
Author(s):  
M. Cristina Rabello-Soares ◽  
Richard S. Bogart ◽  
Philip H. Scherrer
Keyword(s):  
Statistical Analysis ◽  
Acoustic Wave ◽  
Active Regions ◽  
Wave Power ◽  
Solar Active Regions

scholarly journals STATISTICAL ANALYSIS OF ACOUSTIC WAVE PARAMETERS NEAR SOLAR ACTIVE REGIONS

2016 ◽  
Vol 827 (2) ◽  
pp. 140 ◽  
Author(s):  
M. Cristina Rabello-Soares ◽  
Richard S. Bogart ◽  
Philip H. Scherrer
Keyword(s):  
Statistical Analysis ◽  
Acoustic Wave ◽  
Active Regions ◽  
Wave Parameters ◽  
Solar Active Regions

scholarly journals Statistical distribution of current helicity in solar active regions over the magnetic cycle

2013 ◽  
Vol 433 (2) ◽  
pp. 1648-1658 ◽  
Author(s):  
Y. Gao ◽  
T. Sakurai ◽  
H. Zhang ◽  
K. M. Kuzanyan ◽  
D. Sokoloff
Keyword(s):  
Active Regions ◽  
Statistical Distribution ◽  
Magnetic Cycle ◽  
Solar Active Regions ◽  
Current Helicity

Statistical Analysis of Individual Solar Active Regions

2017 ◽  
Vol 13 (S335) ◽  
pp. 3-6
Author(s):  
Garyfallia Kromyda ◽  
Loukas Vlahos
Keyword(s):  
Statistical Analysis ◽  
Power Law ◽  
Active Regions ◽  
The Other ◽  
Computational Studies ◽  
Power Law Distribution ◽  
Solar Active Regions ◽  
Single Power

AbstractIn the last decades, numerous observational and computational studies have shown that the global flare distribution is a power-law with a slope less than 2. In these studies, active regions are treated as statistically indistinguishable. To test this, we identify and separately analyze the flares produced by ten individual active regions (2006-2016). In five regions, we find a single power-law distribution, with a slope of a < 2. In the other five, we find a broken double power-law distribution, with slopes a1 < 2 and a2 > 2.

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