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Statistics of photospheric supergranular cells observed by SDO/HMI.

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Title: Statistics of photospheric supergranular cells observed by SDO/HMI.
Authors: Noori, Majedeh1 (AUTHOR), Javaherian, Mohsen1 (AUTHOR), Safari, Hossein1 (AUTHOR) safari@znu.ac.ir, Nadjari, Hamid1 (AUTHOR)
Source: Advances in Space Research. Jul2019, Vol. 64 Issue 2, p504-513. 10p.
Subjects: Solar surface, Plasma flow, Lognormal distribution, Image processing, Cell size
Abstract: The statistics of the photospheric supergranulation pattern were investigated using continuum images observed by Solar Dynamic Observatory (SDO)/Helioseismic and Magnetic Imager (HMI) taken at 6713 Å. The supergranular boundaries can be extracted by tracking photospheric velocity plasma flows. The ball-tracking method in combination with automatic recognition approach were employed to apply on the HMI data gathered over the years 2011–2015. Then, the edge sharpening techniques were exerted on the resultant image to precisely identify the cells borders. To study the fractal dimensionality (FD) of supergranulation, the box counting method was used. We found that the cell sizes follow the log-normal distribution with peak value about 400 Mm2. The five-year mean value of the cells number per unit area (10,000 Mm2) appeared in the solar surface was obtained to be about 19 ± 3. Distribution of the cells orientation presents the power-law behavior. The orientation of supergranular cells (O) and their size (S) follows a power-law function as | O | ∝ S 10.35 . We found that the non-roundish cells with smaller and larger sizes than about 650 Mm2 are aligned and perpendicular with the solar rotational velocity on the photosphere, respectively. The FD analysis shows that the supergranular cells form the self-similar patterns. [ABSTRACT FROM AUTHOR]
Copyright of Advances in Space Research is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Statistics of photospheric supergranular cells observed by SDO/HMI.
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  Data: <searchLink fieldCode="AR" term="%22Noori%2C+Majedeh%22">Noori, Majedeh</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Javaherian%2C+Mohsen%22">Javaherian, Mohsen</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Safari%2C+Hossein%22">Safari, Hossein</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> safari@znu.ac.ir</i><br /><searchLink fieldCode="AR" term="%22Nadjari%2C+Hamid%22">Nadjari, Hamid</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Advances+in+Space+Research%22">Advances in Space Research</searchLink>. Jul2019, Vol. 64 Issue 2, p504-513. 10p.
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  Data: <searchLink fieldCode="DE" term="%22Solar+surface%22">Solar surface</searchLink><br /><searchLink fieldCode="DE" term="%22Plasma+flow%22">Plasma flow</searchLink><br /><searchLink fieldCode="DE" term="%22Lognormal+distribution%22">Lognormal distribution</searchLink><br /><searchLink fieldCode="DE" term="%22Image+processing%22">Image processing</searchLink><br /><searchLink fieldCode="DE" term="%22Cell+size%22">Cell size</searchLink>
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  Label: Abstract
  Group: Ab
  Data: The statistics of the photospheric supergranulation pattern were investigated using continuum images observed by Solar Dynamic Observatory (SDO)/Helioseismic and Magnetic Imager (HMI) taken at 6713 Å. The supergranular boundaries can be extracted by tracking photospheric velocity plasma flows. The ball-tracking method in combination with automatic recognition approach were employed to apply on the HMI data gathered over the years 2011–2015. Then, the edge sharpening techniques were exerted on the resultant image to precisely identify the cells borders. To study the fractal dimensionality (FD) of supergranulation, the box counting method was used. We found that the cell sizes follow the log-normal distribution with peak value about 400 Mm2. The five-year mean value of the cells number per unit area (10,000 Mm2) appeared in the solar surface was obtained to be about 19 ± 3. Distribution of the cells orientation presents the power-law behavior. The orientation of supergranular cells (O) and their size (S) follows a power-law function as | O | ∝ S 10.35 . We found that the non-roundish cells with smaller and larger sizes than about 650 Mm2 are aligned and perpendicular with the solar rotational velocity on the photosphere, respectively. The FD analysis shows that the supergranular cells form the self-similar patterns. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Advances in Space Research is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1016/j.asr.2019.04.027
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      – Code: eng
        Text: English
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        PageCount: 10
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      – SubjectFull: Solar surface
        Type: general
      – SubjectFull: Plasma flow
        Type: general
      – SubjectFull: Lognormal distribution
        Type: general
      – SubjectFull: Image processing
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      – SubjectFull: Cell size
        Type: general
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      – TitleFull: Statistics of photospheric supergranular cells observed by SDO/HMI.
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            NameFull: Noori, Majedeh
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            NameFull: Javaherian, Mohsen
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            NameFull: Safari, Hossein
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            NameFull: Nadjari, Hamid
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              M: 07
              Text: Jul2019
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              Y: 2019
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            – TitleFull: Advances in Space Research
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