Automatic Detection of Magnetic delta in Sunspot Groups
Sreejith Padinhatteeri, Paul A. Higgins, D. Shaun Bloomfield, Peter T., Gallagher

TL;DR
This paper introduces SMART-DF, an automated system that detects magnetic delta sunspot groups in near-real-time using SDO/HMI data, improving flare prediction by early identification of complex active regions.
Contribution
The paper presents a novel automated algorithm, SMART-DF, for detecting magnetic delta configurations in sunspot groups using magnetogram data, enhancing real-time flare forecasting capabilities.
Findings
Detected 21 of 23 NOAA-identified delta spots in 2011-2012.
Identified 5 delta regions not reported by NOAA.
Operates in near-real-time for early flare prediction.
Abstract
Large and magnetically complex sunspot groups are known to be associated with flares. To date, the Mount Wilson scheme has been used to classify sunspot groups based on their morphological and magnetic properties. The most flare prolific class, the delta sunspot-group, is characterised by opposite polarity umbrae within a common penumbra, separated by less than 2 degrees. In this article, we present a new system, called the Solar Monitor Active Region Tracker - Delta Finder (SMART-DF), that can be used to automatically detect and classify magnetic deltas in near-realtime. Using continuum images and magnetograms from the Helioseismic and Magnetic Imager (HMI) onboard NASA's Solar Dynamics Observatory (SDO), we first estimate distances between opposite polarity umbrae. Opposite polarity pairs having distances of less that 2 degrees are then identified, and if these pairs are found to…
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