A Systematic Magnetic Polarity Inversion Line Data Set from SDO/HMI Magnetograms

Magnetic polarity inversion lines (PILs) detected in solar active regions have long been recognized as arguably the most essential feature for triggering instabilities such as flares and eruptive events (i.e., eruptive flares and coronal mass ejections). In recent years, efforts have been focused on...

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Bibliographic Details
Published in:The Astrophysical journal. Supplement series 2023-03, Vol.265 (1), p.28
Main Authors: Ji, Anli, Cai, Xumin, Khasayeva, Nigar, Georgoulis, Manolis K., Martens, Petrus C., Angryk, Rafal A., Aydin, Berkay
Format: Article
Language:English
Subjects:
Astronomy software
Convexity
Coronal mass ejection
Data analysis
Datasets
Eruptions
Flares
Inversion
Line of sight
Magnetic fields
Masks
Metadata
Polarity
Solar activity
Solar activity regions
Solar cycle
Solar observatories
Space weather
Spatial analysis
Time series
Weather forecasting
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Summary:Magnetic polarity inversion lines (PILs) detected in solar active regions have long been recognized as arguably the most essential feature for triggering instabilities such as flares and eruptive events (i.e., eruptive flares and coronal mass ejections). In recent years, efforts have been focused on using features engineered from PILs for solar eruption prediction. However, PIL rasters and metadata are often generated as by-products and are not accessible for public use, which limits their utilization in data-intensive space weather analytics applications. We introduce a large-scale publicly available PIL data set covering practically the entire solar cycle 24 for applying to various space weather forecasting and analytics tasks. The data set is created using both radial magnetic field ( B _r) and line-of-sight ( B _LoS) magnetograms from the Solar Dynamics Observatory’s Helioseismic and Magnetic Imager Active Region Patches (HARP) that involve 4090 HARP series ranging from 2010 May to 2019 March. This data set includes three PIL-related binary masks of rasters: the actual PILs as per the spatial analysis of the magnetograms, the region of polarity inversion, and the convex hull of PILs, along with time-series-structured metadata extracted from these masks. We also provide a preliminary exploratory analysis of selected features aiming to correlate time series of feature metadata and eruptive activity originating from active regions. We envision that this comprehensive PIL data set will complement existing data sets used for space weather forecasting and benefit research in related areas, specifically in better understanding the PIL structure, evolution, and role in eruptions.
ISSN:0067-0049
1538-4365
DOI:10.3847/1538-4365/acb43a