Blind Stereoscopy of the Coronal Magnetic Field
Markus J. Aschwanden, Carolus J. Schrijver, and Anna Malanushenko

TL;DR
This paper presents an automated stereoscopy method for 3D coronal magnetic field reconstruction using EUV images, testing its accuracy and sensitivity for future solar observation missions.
Contribution
It introduces a novel automated code for triangulating coronal loops from stereoscopic EUV images, enabling efficient 3D magnetic field analysis.
Findings
Optimal spacecraft separation angle is approximately 5 degrees.
The automated code performs accurately with a pixel size of 0.6 arcseconds.
The method is sensitive to magnetic non-potentiality.
Abstract
We test the feasibility of 3D coronal-loop tracing in stereoscopic EUV image pairs, with the ultimate goal of enabling efficient 3D reconstruction of the coronal magnetic field that drives flares and coronal mass ejections (CMEs). We developed an automated code designed to perform triangulation of coronal loops in pairs (or triplets) of EUV images recorded from different perspectives. The automated (or blind) stereoscopy code includes three major tasks: (i) automated pattern recognition of coronal loops in EUV images, (ii) automated pairing of corresponding loop patterns from two different aspect angles, and (iii) stereoscopic triangulation of 3D loop coordinates. We perform tests with simulated stereoscopic EUV images and quantify the accuracy of all three procedures. In addition we test the performance of the blind stereoscopy code as a function of the spacecraft-separation angle and…
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