Investigating the Efficacy of Topologically Derived Time Series for Flare Forecasting. II. XGBoost Model

Solar flares are a primary driver of space weather, and forecasting their occurrence remains a significant challenge. This paper presents a novel flare prediction model based on topologically derived photospheric magnetic parameters. We employ the ARTop framework to compute the time-dependent input...

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Autors principals:	Thomas Williams, Christopher B. Prior, David MacTaggart, O. P. M. Aslam, D. Shaun Bloomfield
Format:	Artigo
Idioma:	Inglês
Publicat:	IOP Publishing 2026-01-01
Col·lecció:	The Astrophysical Journal
Matèries:	Solar flares Space weather Solar active region magnetic fields Astronomy databases Classification Neural networks
Accés en línia:	https://doi.org/10.3847/1538-4357/ae3f26
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