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arXiv · 1812.07258

Flare forecasting and feature ranking using SDO/HMI data

Michele Piana·Cristina Campi·Federico Benvenuto·Sabrina Guastavano·Anna Maria Massone
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Abstract

We describe here the application of a machine learning method for flare forecasting using vectors of properties extracted from images provided by the Helioseismic and Magnetic Imager in the Solar Dynamics Observatory (SDO/HMI). We also discuss how the method can be used to quantitatively assess the impact of such properties on the prediction process.

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Michele Piana, Cristina Campi, Federico Benvenuto, Sabrina Guastavano, Anna Maria Massone. 2018-12-18. Flare forecasting and feature ranking using SDO/HMI data. https://doi.org/10.1393/ncc%2Fi2019-19030-1

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