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Predicting Solar Flares Using SDO/HMI Vector Magnetic Data Products and the Random Forest Algorithm
Adverse space weather effects can often be traced to solar flares, prediction of which has drawn significant research interests. The Helioseismic and Magnetic Imager (HMI) produces full-disk vector magnetograms with continuous high cadence, while flare prediction efforts utilizing this unprecedented data source are still limited. Here we report results of flare prediction using physical parameters provided by the Space-weather HMI Active Region Patches (SHARP) and related data products. Wedoi:10.3847/1538-4357/aa789b fatcat:lntwqvv47vcn5pftmd7zgytxxe