SOLAR FLARE PREDICTION USING SDO /HMI VECTOR MAGNETIC FIELD DATA WITH A MACHINE-LEARNING ALGORITHM

We attempt to forecast M- and X-class solar flares using a machine-learning algorithm, called support vector machine (SVM), and four years of data from the Solar Dynamics Observatory's Helioseismic and Magnetic Imager, the first instrument to continuously map the full-disk photospheric vector m...

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Bibliographic Details

Published in:	The Astrophysical journal Vol. 798; no. 2; pp. 135 - 11
Main Authors:	Bobra, M. G., Couvidat, S.
Format:	Journal Article
Language:	English
Published:	United States 10.01.2015
Subjects:	ALGORITHMS ASTROPHYSICS, COSMOLOGY AND ASTRONOMY Construction MAGNETIC FIELDS Mathematical analysis METRICS PHOTOSPHERE SOLAR FLARES Solar observatories SPACE SUN Support vector machines Vectors (mathematics)
ISSN:	1538-4357, 0004-637X, 1538-4357
Online Access:	Get full text
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