Flare forecasting and feature ranking using SDO/HMI data

Michele Piana; Cristina Campi; Federico Benvenuto; Sabrina Guastavano; Anna Maria Massone

doi:10.1393/ncc/i2019-19030-1

Flare forecasting and feature ranking using SDO/HMI data

Solar and Stellar Astrophysics 2019-07-17 v1

Authors: 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.

Keywords

weather prediction

Cite

@article{arxiv.1812.07258,
  title  = {Flare forecasting and feature ranking using SDO/HMI data},
  author = {Michele Piana and Cristina Campi and Federico Benvenuto and Sabrina Guastavano and Anna Maria Massone},
  journal= {arXiv preprint arXiv:1812.07258},
  year   = {2019}
}

Comments

submitted to 'Nuovo Cimento' as proceeding of SOHE3

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