Giagkiozis, I., Fedun, V. orcid.org/0000-0002-0893-7346, Scullion, E. et al. (2 more authors) (2018) Vortex flows in the solar atmoshpere: automated identification and statistical analysis. Astrophysical Journal, 869 (2). 169. ISSN 0004-637X
Abstract
Vortices on the photosphere are fundamentally important as these coherent flows have the potential to form coherent magnetic field structures in the solar atmosphere, e.g., twisted magnetic flux tubes. These flows have traditionally been identified by tracking magnetic bright points (BPs) using primarily visual inspection. This approach has the shortcoming that it introduces bias into the statistical analyses. In this work we fully automate the process of vortex identification using an established method from hydrodynamics for the study of eddies in turbulent flows. For the first time, we apply this to detect intergranular photospheric intensity vortices. Using this automated approach, we find that the expected lifetime of intensity vortices is much shorter (≈17 s) compared with previously observed magnetic BP swirls. We suggest that at any time there are 1.48 × 106 such small-scale intensity vortices covering about 2.8% of the total surface of the solar photosphere. Lastly, we compare our results with previous works and speculate what this could imply with regards to estimating the global energy flux due magnetic tornadoes in the solar atmosphere with future higher resolution instrumentation.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 The American Astronomical Society. Original content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence (https://creativecommons.org/licenses/by/3.0/). Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. |
Keywords: | Sun: atmosphere; Sun: oscillations; Sun: photosphere |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) The University of Sheffield > Faculty of Science (Sheffield) > School of Mathematics and Statistics (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 21 Jul 2017 14:09 |
Last Modified: | 03 Jan 2019 13:05 |
Published Version: | https://doi.org/10.3847/1538-4357/aaf797 |
Status: | Published |
Publisher: | American Astronomical Society |
Refereed: | Yes |
Identification Number: | 10.3847/1538-4357/aaf797 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:119326 |