Virtual sunspots help AI find rare magnetic matches in vast solar archives‎

Research led by Southwest Research Institute (SwRI) has integrated three types of machine learning models to generate solar magnetic patches with physical properties and used those as a query to find matching patches in real observations. This elevates generative artificial intelligence (AI) from a means to produce artificial data to a novel tool for scientific data interrogation, supporting applicability beyond the heliophysics domain. The paper is published in The Astrophysical Journal Supplement Series.