Efficient and Automated Inversions of Magnetically-Sensitive Forbidden Coronal Lines: CLEDB -- The Coronal Line Emission DataBase Magnetic Field Inversion Algorithm
Alin Razvan Paraschiv, Philip Gordon Judge

TL;DR
CLEDB is a novel, efficient algorithm for inferring solar coronal magnetic fields from forbidden line polarization data, reducing database complexity and resolving degeneracies in magnetic field and plasma parameters.
Contribution
The paper introduces CLEDB, a fast, database-driven inversion method that simplifies the analysis of coronal magnetic fields using forbidden line polarization measurements.
Findings
Successfully infers magnetic orientation, thermal properties, and 3D position of plasma.
Reduces database size by exploiting symmetries in line profiles.
Separately determines magnetic field strength from Stokes V ratios.
Abstract
We present CLEDB, a "single point inversion" algorithm for inferring magnetic parameters using I,Q,U, and V Stokes parameters of forbidden magnetic dipole lines formed in the solar corona. We select lines of interest and construct databases of Stokes parameters for combinations of plasma thermal and magnetic configurations. The size and complexity of such databases are drastically reduced by taking advantage of symmetries. Using wavelength-integrated line profiles, each of which might be decomposed beforehand into several line-of-sight components, we search for nearest matches to observed Stokes parameters computed for the elongation corresponding to the observed region. The method is intended to be applied to two or more lines observed simultaneously. The solutions initially yield magnetic orientation, thermal properties, and the spatial position of the emitting plasma in three…
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