An integration-free method for calculating curl and divergence in space plasmas using multi-spacecraft data
Rohan Singh, Supratik Banerjee, Arijit Halder

TL;DR
This paper introduces an easy, integration-free method for calculating spatial gradients like curl and divergence in space plasmas using multi-spacecraft data, improving accuracy over traditional methods and applicable to various spacecraft configurations.
Contribution
The paper presents a novel finite difference-based approach for computing spatial derivatives that does not rely on vector integration, enhancing flexibility and precision in multi-spacecraft data analysis.
Findings
High correlation (~0.99) with traditional Curlometer results.
Method performs better with regular tetrahedral spacecraft configurations.
Applicable to more than four spacecraft for detailed plasma analysis.
Abstract
The knowledge of local spatial gradients (curl, divergence etc.) is crucial to examine the three-dimensional variation of flow fields including velocity and magnetic fields in space plasmas like the solar wind. Here we propose a simple method to calculate the same using the in-situ data of multi-spacecraft systems. Unlike the popular Curlometer method which depends on the vector integration theorems, our integration-free method is based on the construction of a local orthonormal coordinate system and the associated finite difference approximations. The Curlometer is applicable to a four spacecraft system arranged in a tetrahedron and yields a single volume-averaged estimate of the curl. Using our proposed method over 107 intervals of MMS (NASA) data, on the other hand, we successfully calculate the spatial derivatives at the position of each spacecraft of the tetrahedron and a…
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Taxonomy
TopicsIonosphere and magnetosphere dynamics · Astro and Planetary Science · Space Satellite Systems and Control
