Vortex Flows in the Solar Atmosphere: Automated Identification and Statistical Analysis

Ioannis Giagkiozis, Viktor Fedun, Eamon Scullion, Gary Verth, David B. Jess

Research output: Contribution to journalArticlepeer-review

23 Citations (Scopus)
31 Downloads (Pure)


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 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 inter-granular photospheric intensity vortices. Using this approach, we find that the expected lifetime of intensity vortices is much shorter (17s) compared with previously observed magnetic bright point swirls. We suggest that at any time there are 1:4x106 such small-scale intensity vortices covering about 2:8% of the total surface of the solar photosphere. Lastly, we propose that if this increased number of vortices is reflected in proportion to the number of magnetic tornadoes, this would imply that more than 17% of the area of the lower corona has more than adequate energy flux to satisfy quiet Sun heating requirements within that area. Lastly, assuming a causal relation between intensity vortices and magnetic tornadoes, we find based on a Monte Carlo simulation that every ~ 1.5 minute at least 60% of the lower corona will be swept by tornadoes, implying that intensity vortices may offer an answer to the quiet Sun heating problem.
Original languageEnglish
Article number169
Number of pages9
JournalAstrophysical Journal
Issue number2
Publication statusPublished - 26 Dec 2018


Dive into the research topics of 'Vortex Flows in the Solar Atmosphere: Automated Identification and Statistical Analysis'. Together they form a unique fingerprint.

Cite this