Monitoring Sun's ultraviolet emission using deep learning

It is possible to monitor Sun's extreme ultraviolet (EUV) irradiance using deep learning. Scientists at the NASA Frontier Development Lab (FDL) have shown that deep learning can help get more value out of our current ability to monitor the Sun by providing virtual instruments to supplement physical devices. The Sun is vital for survival, yet solar flares, which typically occurs a few times a year, can cause severe interruptions in space and on Earth. These interruptions can affect rocket, satellites, and even frameworks here on Earth, including GPS route, radio interchanges, and the power grid. FDL team member and co-author Alexander Szenicer (Oxford University) said, "Our research shows how a deep neural network can be trained to mimic an instrument on the Solar Dynamics Observatory (SDO). By inferring what ultraviolet radiation levels that sensor would have detected based on what the other instruments on SDO are observing at any given time, we demonstrate it is possible to increase the scientific productivity of NASA missions and to increase our capability to monitor solar sources of space weather."