GSST/CBERS-5 International Symposium on Machine Learning in Heliophysics and Space Weather

Computer Vision with small-scale magnetic elements in the photosphere

Not scheduled

20m

Fernando de Mendonça - LIT (National Institute for Space Research, São José dos Campos, SP, Brazil)

Oral Autonomous Platforms & Remote Sensing Enabling Technologies

Speaker

Dr Peter Keys (Astrophysics Research Centre, Queen’s University Belfast (QUB), U.K.)

Description

Magnetic Bright Points (MBPs) are small-scale magnetic features, ubiquitous across the solar surface. They are short-lived, highly dynamic features which can transfer energy between layers of the solar. Furthermore, as they are small intensity enhancements, they appear brighter than the quiescent environment and can contribute to Total Solar Irradiance. With the advent of new facilities such as the Daniel K. Inouye Solar Telescope, MBPs are sampled at unprecedented resolutions. Here we report on a novel deep learning computer vision techniques developed to isolate and track these features in high resolution data. The results of these techniques are compared to more traditional computer vision methods.