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Automatic Algorithm for Tracking Bipolar Magnetic Regions

Published online by Cambridge University Press:  28 September 2023

Anu B. Sreedevi Open the ORCID record for Anu B. Sreedevi [Opens in a new window]  and
Bibhuti Kumar Jha Open the ORCID record for Bibhuti Kumar Jha [Opens in a new window]
Anu B. Sreedevi
Affiliation:
Department of Physics, Indian Institute of Technology (Banaras Hindu University), Varanasi 221005, India email: [email protected]
Bibhuti Kumar Jha
Affiliation:
Aryabhatta Research Institute of Observational Sciences, Nainital-263001, India
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Abstract

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Properties of bipolar magnetic regions (BMRs), particularly, the tilt angle play critical roles in generating the observed polar magnetic field and its reversal. Hence, a long-term study of BMR over its lifetime is crucial not only to understand the solar dynamo but also to identify the origin of the properties of BMR. In our work, we have developed an automatic algorithm to detect and track the BMRs from the line-of-sight (LOS) magnetograms of Michelson Doppler Imager (MDI) for the period of Solar Cycle 23 over its lifetime/disk passage. Here, we present the details of our algorithm and the features of BMR, particularly the tilt angle, magnetic field strength and lifetime.

Keywords

Sun: activitySun: magnetic fields(Sun:) sunspotsSun: photosphere
Type
Poster Paper
Information
Proceedings of the International Astronomical Union , Volume 18 , Symposium S372: The Era of Multi-Messenger Solar Physics , August 2022 , pp. 97 - 99
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Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of International Astronomical Union

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