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AutoTAB: An Algorithm to Track Bipolar Magnetic Regions and Initial results from the Tracked BMRs

Published online by Cambridge University Press:  23 December 2024

Anu Sreedevi Open the ORCID record for Anu Sreedevi [Opens in a new window] ,
Bibhuti Kumar Jha ,
Bidya Binay Karak  and
Dipankar Banerjee
Anu Sreedevi*
Affiliation:
Department of Physics, Indian Institute of Technology (Banaras Hindu University), Varanasi 221005, India
Bibhuti Kumar Jha
Affiliation:
Southwest Research Institute, Boulder 80302, USA
Bidya Binay Karak
Affiliation:
Department of Physics, Indian Institute of Technology (Banaras Hindu University), Varanasi 221005, India
Dipankar Banerjee
Affiliation:
Aryabhatta Research Institute of Observational Sciences, Nainital 263002, Uttarakhand, India
*
email: [email protected]
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Abstract

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AutoTAB is a state-of-the-art, fully automatic algorithm that tracks the Bipolar Magnetic Regions (BMRs) in magnetogram observations. AutoTAB employs identified BMR regions from Line-of-Sight magnetograms from MDI and HMI (1996–2022) to track the BMRs through their evolution on the nearside of the Sun. AutoTAB enables us to create a comprehensive and unique catalog of tracked information of 9232 BMRs in the mentioned time period. This dataset is used to study the collective statistical properties of BMRs and particularly to identify the correct theory for the BMR formation. Here, we discuss the algorithm’s functionality and the initial findings obtained from the AutoTAB BMRs catalog.

Keywords

Bipolar Magnetic RegionsSunspot GroupsSolar CycleJoy’s Law
Type
Contributed Paper
Information
Proceedings of the International Astronomical Union , Volume 19 , Symposium S365: Dynamics of Solar and Stellar Convection Zones and Atmospheres , December 2023 , pp. 332 - 339
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Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of International Astronomical Union

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