Hostname: page-component-7b7567c8c-lpg2g Total loading time: 0 Render date: 2026-11-15T12:59:03.668Z Has data issue: false hasContentIssue false

Automatic Algorithm for Tracking Bipolar Magnetic Regions

Published online by Cambridge University Press:  28 September 2023

Anu B. Sreedevi
Affiliation:
Department of Physics, Indian Institute of Technology (Banaras Hindu University), Varanasi 221005, India email: anubsreedevi.rs.phy20@itbhu.ac.in
Bibhuti Kumar Jha
Affiliation:
Aryabhatta Research Institute of Observational Sciences, Nainital-263001, India
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the 'Save PDF' action button.

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.

Information

Type
Poster Paper
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of International Astronomical Union