2019
DOI: 10.48550/arxiv.1908.09016
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Density distribution of photospheric vertical electric currents in flare active regions of the Sun

Abstract: Solar active regions contain electric currents. Information on the distribution of currents is important for understanding the processes of energy release on the surface of the Sun and in the overlying layers. The paper presents an analysis of the probability density function (PDF) of the absolute value of the photospheric vertical electric current density (|j z |) in 48 active regions before and after flares in 2010-2017. Calculation of |j z | is performed by applying the differential form of Ampere's circuit… Show more

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Cited by 1 publication
(2 citation statements)
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“…To determine the noise level, for each SHARP data set we selected a 'background box' in a quiet Sun region without significant magnetic fields, constructed and plotted the distribution of |j r | for this 'background box'. As shown in Zimovets et al (2019), for all the considered 48 active regions the j r -distribution below the threshold value of j thr r ≈ 10 4 statampere cm −2 can be well approximated by a Gaussian function, while it has a powerlaw shape above this threshold. It was argued that the Gaussian part of j r -distribution represent data noise, but the power-law part can contain physically meaningful information.…”
Section: Calculation Of Pvec and Combination With Hxr Mapsmentioning
confidence: 79%
See 1 more Smart Citation
“…To determine the noise level, for each SHARP data set we selected a 'background box' in a quiet Sun region without significant magnetic fields, constructed and plotted the distribution of |j r | for this 'background box'. As shown in Zimovets et al (2019), for all the considered 48 active regions the j r -distribution below the threshold value of j thr r ≈ 10 4 statampere cm −2 can be well approximated by a Gaussian function, while it has a powerlaw shape above this threshold. It was argued that the Gaussian part of j r -distribution represent data noise, but the power-law part can contain physically meaningful information.…”
Section: Calculation Of Pvec and Combination With Hxr Mapsmentioning
confidence: 79%
“…The choice of this specific value of j thr r is determined by the shape of j r -distributions obtained with the SHARP data series. As it was shown inZimovets et al (2019), the j r -distributions below j thr r have a Gaussian shape and can be composed mainly from data noise. Above this threshold value, the j r -distributions have a power-law shape, which can be physically meaningful, representing some real processes of formation and distribution of PVECs in active regions.…”
mentioning
confidence: 85%