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

Related authors

The Vlasiator 5.2 Ionosphere – Coupling a magnetospheric hybrid-Vlasov simulation with a height-integrated ionosphere model
Urs Ganse, Yann Pfau-Kempf, Hongyang Zhou, Liisa Juusola, Abiyot Workayehu, Fasil Kebede, Konstantinos Papadakis, Maxime Grandin, Markku Alho, Markus Battarbee, Maxime Dubart, Leo Kotipalo, Arnaud Lalagüe, Jonas Suni, Konstantinos Horaites, and Minna Palmroth
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2024-101,https://doi.org/10.5194/gmd-2024-101, 2024
Revised manuscript accepted for GMD
Short summary
Atmospheric odd nitrogen response to electron forcing from a 6D magnetospheric hybrid-kinetic simulation
Tuomas Häkkilä, Maxime Grandin, Markus Battarbee, Monika E. Szeląg, Markku Alho, Leo Kotipalo, Niilo Kalakoski, Pekka T. Verronen, and Minna Palmroth
Ann. Geophys. Discuss., https://doi.org/10.5194/angeo-2024-7,https://doi.org/10.5194/angeo-2024-7, 2024
Preprint under review for ANGEO
Short summary
Spatial filtering in a 6D hybrid-Vlasov scheme to alleviate adaptive mesh refinement artifacts: a case study with Vlasiator (versions 5.0, 5.1, and 5.2.1)
Konstantinos Papadakis, Yann Pfau-Kempf, Urs Ganse, Markus Battarbee, Markku Alho, Maxime Grandin, Maxime Dubart, Lucile Turc, Hongyang Zhou, Konstantinos Horaites, Ivan Zaitsev, Giulia Cozzani, Maarja Bussov, Evgeny Gordeev, Fasil Tesema, Harriet George, Jonas Suni, Vertti Tarvus, and Minna Palmroth
Geosci. Model Dev., 15, 7903–7912, https://doi.org/10.5194/gmd-15-7903-2022,https://doi.org/10.5194/gmd-15-7903-2022, 2022
Short summary
Foreshock cavitons and spontaneous hot flow anomalies: a statistical study with a global hybrid-Vlasov simulation
Vertti Tarvus, Lucile Turc, Markus Battarbee, Jonas Suni, Xóchitl Blanco-Cano, Urs Ganse, Yann Pfau-Kempf, Markku Alho, Maxime Dubart, Maxime Grandin, Andreas Johlander, Konstantinos Papadakis, and Minna Palmroth
Ann. Geophys., 39, 911–928, https://doi.org/10.5194/angeo-39-911-2021,https://doi.org/10.5194/angeo-39-911-2021, 2021
Short summary
Vlasov simulation of electrons in the context of hybrid global models: an eVlasiator approach
Markus Battarbee, Thiago Brito, Markku Alho, Yann Pfau-Kempf, Maxime Grandin, Urs Ganse, Konstantinos Papadakis, Andreas Johlander, Lucile Turc, Maxime Dubart, and Minna Palmroth
Ann. Geophys., 39, 85–103, https://doi.org/10.5194/angeo-39-85-2021,https://doi.org/10.5194/angeo-39-85-2021, 2021
Short summary

Related subject area

Subject: Magnetosphere & space plasma physics | Keywords: Magnetic reconnection
A new method to identify flux ropes in space plasmas
Shiyong Huang, Pufan Zhao, Jiansen He, Zhigang Yuan, Meng Zhou, Huishan Fu, Xiaohua Deng, Ye Pang, Dedong Wang, Xiongdong Yu, Haimeng Li, Roy Torbert, and James Burch
Ann. Geophys., 36, 1275–1283, https://doi.org/10.5194/angeo-36-1275-2018,https://doi.org/10.5194/angeo-36-1275-2018, 2018

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
Download
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.