Inverse diffraction for the Atmospheric Imaging Assembly in the Solar Dynamics Observatory

TL;DR

This paper introduces an automatic mathematical method to recover saturated information in solar images from the Solar Dynamics Observatory by analyzing diffraction patterns, improving data usability.

Contribution

It presents a novel correlation/inversion technique for primary saturation recovery and an interpolation method for secondary saturation, enhancing image analysis capabilities.

Findings

Effective recovery of saturated solar images demonstrated

Improved understanding of diffraction pattern analysis

Enhanced data extraction from saturated observations

Abstract

The Atmospheric Imaging Assembly in the Solar Dynamics Observatory provides full Sun images every 1 seconds in each of 7 Extreme Ultraviolet passbands. However, for a significant amount of these images, saturation affects their most intense core, preventing scientists from a full exploitation of their physical meaning. In this paper we describe a mathematical and automatic procedure for the recovery of information in the primary saturation region based on a correlation/inversion analysis of the diffraction pattern associated to the telescope observations. Further, we suggest an interpolation-based method for determining the image background that allows the recovery of information also in the region of secondary saturation (blooming).