PHOTO: This photo shows the Sun seen by AIA in 304 Angstrom light in 2021 before degradation correction (left) and with corrections from a sounding rocket calibration (right).
Credits: NASA GSFC
A group of researchers is using artificial intelligence techniques to calibrate some of NASA’s images of the Sun, helping improve the data that scientists use for solar research. The new technique was published in the journal Astronomy & Astrophysics on April 13, 2021.
NASA’s Solar Dynamics Observatory, or SDO, launched in 2010 with multiple types of Luxel filters aboard its Extreme Ultraviolet Variability Experiment (EVE) instrument and the Atmospheric Imaging Assembly (AIA) instrument.
Calibration of the imaging instruments on SDO has posed a challenge for researchers. Previously, it was only achieved with the launching of sounding rockets, however, that can only be done sporadically and they wanted to find a way for constant calibration. Machine learning, a technique used in artificial intelligence, seemed like a perfect fit and it would improve the accuracy of SDO’s data.