42 citations · 72 across the 3 of their papers we have counts for
3 papers
astro-ph.SR2020★ 6 cited
A Machine Learning Approach to Correcting Atmospheric Seeing in Solar Flare Observations
John A. Armstrong, Lyndsay Fletcher
Current post-processing techniques for the correction of atmospheric seeing in solar observations -- such as Speckle interferometry and Phase Diversity methods -- have limitations…
astro-ph.SR2019★ 42 cited
Fast Solar Image Classification Using Deep Learning and its Importance for Automation in Solar Physics
John A. Armstrong, Lyndsay Fletcher
The volume of data being collected in solar physics has exponentially increased over the past decade and with the introduction of the (D…
astro-ph.SR2019★ 24 cited
RADYNVERSION: Learning to Invert a Solar Flare Atmosphere with Invertible Neural Networks
Christopher M. J. Osborne, John A. Armstrong, Lyndsay Fletcher
During a solar flare, it is believed that reconnection takes place in the corona followed by fast energy transport to the chromosphere. The resulting intense heating strongly distu…