A forward-modeling correction using real-time lens imaging reduces dust stray-light noise by 67% and restores expected coronal intensity profiles in ground-based data.
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Forward Modeling of Dust-Induced Stray Light in Ground-Based Coronagraphs: A Dual-Path Monitoring Approach for High-Precision Inner Corona Observations
A forward-modeling correction using real-time lens imaging reduces dust stray-light noise by 67% and restores expected coronal intensity profiles in ground-based data.