Effects of partitioning and extrapolation on the connectivity of potential magnetic fields
D.W. Longcope, G. Barnes, and C. Beveridge

TL;DR
This paper investigates how partitioning parameters and modeling choices affect the connectivity of potential magnetic fields in the solar corona, providing insights into the robustness of connectivity calculations under different assumptions.
Contribution
It analyzes the dependence of magnetic field connectivity on partitioning algorithms and boundary conditions, quantifying differences across various modeling approaches.
Findings
Connectivity scales with the number of regions, not the square of possible connections.
Differences in connectivity between modeling methods are generally within 15%.
Point source approximation differs by about 6% from using the exact magnetogram.
Abstract
Coronal magnetic field may be characterized by how its field lines interconnect regions of opposing photospheric flux -- its connectivity. Connectivity can be quantified as the net flux connecting pairs of opposing regions, once such regions are identified. One existing algorithm will partition a typical active region into a number of unipolar regions ranging from a few dozen to a few hundred, depending on algorithmic parameters. This work explores how the properties of the partitions depend on some algorithmic parameters, and how connectivity depends on the coarseness of partitioning for one particular active region magnetogram. We find the number of connections among them scales with the number of regions even as the number of possible connections scales with its square. There are several methods of generating a coronal field, even a potential field. The field may be computed inside…
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Taxonomy
TopicsMagnetic properties of thin films · Magnetic Properties and Applications · Magnetic Field Sensors Techniques
