Monthly Archives: April 2018

96. Evaluation of Applicability of a Flare Trigger Model  Based on a Comparison of Geometric Structures 

Contributed by Yumi Bamba. Posted on April 23, 2018

A sample of 32 flare events are analyzed to evaluate how these events agree with a flare-triggering model, which examines shear angles of large-scale magnetic field and small-scale dipole field during the flares’ precursor brightening.

95. Forecasting Solar Flares Using Magnetogram-Based Predictors and Machine Learning

Contributed by Kostas Florios. Posted on April 16, 2018

A set of parameters that characterize the complexity and energy potential of solar active-regions is fed through several Machine Learning and conventional statistics algorithms to forecast solar flares.

94. Deep Learning Based Solar Flare Forecasting Model: Results for Line-of-Sight Magnetograms

Contributed by Xin Huang. Posted on April 11, 2018

A deep-learning method, Convolutional Neural Network, is developed to use the HMI’s line-of-sight magnetic field to forecast solar flares.