Articles | Volume 42, issue 1
https://doi.org/10.5194/angeo-42-145-2024
https://doi.org/10.5194/angeo-42-145-2024
Regular paper
 | 
16 May 2024
Regular paper |  | 16 May 2024

Finding reconnection lines and flux rope axes via local coordinates in global ion-kinetic magnetospheric simulations

Markku Alho, Giulia Cozzani, Ivan Zaitsev, Fasil Tesema Kebede, Urs Ganse, Markus Battarbee, Maarja Bussov, Maxime Dubart, Sanni Hoilijoki, Leo Kotipalo, Konstantinos Papadakis, Yann Pfau-Kempf, Jonas Suni, Vertti Tarvus, Abiyot Workayehu, Hongyang Zhou, and Minna Palmroth

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Cited articles

Battarbee, M., Hannuksela, O. A., Pfau-Kempf, Y., Alfthan, S. V., Ganse, U., Jarvinen, R., Leo, Suni, J., Alho, M., Turc., L., Honkonen, I., Brito, T., and Grandin, M.: Fmihpc/Analysator: V0.9, Zenodo [code], https://doi.org/10.5281/zenodo.4462514, 2021. a
Bouri, I., Franssila, F., Alho, M., Cozzani, G., Zaitsev, I., Palmroth, M., and Roos, T.: Graph Representation of the Magnetic Field Topology in High-Fidelity Plasma Simulations for Machine Learning Applications, ICML 2023 Workshop on Machine Learning for Astrophysics, Honolulu, Hawaii, USA, https://doi.org/10.48550/arXiv.2307.09469, 2023. a
Bujack, R., Tsai, K., Morley, S. K., and Bresciani, E.: Open Source Vector Field Topology, SoftwareX, 15, 100787, https://doi.org/10.1016/j.softx.2021.100787, 2021. a
Bussov, M. and Nättilä, J.: Segmentation of Turbulent Computational Fluid Dynamics Simulations with Unsupervised Ensemble Learning, Signal Processing: Image Communication, 99, 116450, https://doi.org/10.1016/j.image.2021.116450, 2021. a
Childs, H., Brugger, E., Whitlock, B., Meredith, J., Ahern, S., Pugmire, D., Biagas, K., Miller, M., Harrison, C., Weber, G. H., Krishnan, H., Fogal, T., Sanderson, A., Garth, C., Bethel, E. W., Camp, D., Rübel, O., Durant, M., Favre, J. M., and Navrátil, P.: VisIt: An End-User Tool For Visualizing and Analyzing Very Large Data, in: High Performance Visualization–Enabling Extreme-Scale Scientific Insight, Chapman and Hall/CRC, New York, https://doi.org/10.1201/b12985, pp. 357–372, 2012. a, b
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Short summary
Magnetic reconnection is one of the main processes for energy conversion and plasma transport in space plasma physics, associated with plasma entry into the magnetosphere of Earth and Earth’s substorm cycle. Global modelling of these plasma processes enables us to understand the magnetospheric system in detail. However, finding sites of active reconnection from large simulation datasets can be challenging, and this paper develops tools to find magnetic topologies related to reconnection.