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Annales Geophysicae An interactive open-access journal of the European Geosciences Union
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Discussion papers
https://doi.org/10.5194/angeo-2019-149
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/angeo-2019-149
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: regular paper 05 Nov 2019

Submitted as: regular paper | 05 Nov 2019

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Annales Geophysicae (ANGEO).

Automatic detection of the Earth Bow Shock and Magnetopause from in-situ data with machine learning

Gautier Nguyen, Nicolas Aunai, Bayane Michotte de Welle, Alexis Jeandet, and Dominique Fontaine Gautier Nguyen et al.
  • CNRS, Ecole polytechnique, Sorbonne Université, Univ Paris Sud, Observatoire de Paris, Institut Polytechnique de Paris, Université Paris-Saclay, PSL Research Univsersity, Laboratoire de Physique des Plasmas, Palaiseau, France

Abstract. We provide an automatic classification method of the three near-Earth regions, the magnetosphere, the magnetosheath and the solar wind in the streaming in-situ data measurement that outperforms the previous methods of automatic region classification. The method was used to identify 14186 magnetopause crossings and 16192 bow shock crossings in the data of 10 different spacecrafts of the THEMIS, ARTEMIS, Cluster and Double Star missions and for a total of 79 cumulated years. These multi-missions catalogs are non ambiguous and can be automatically enlarged with the increasing quantity of data and their elaboration paves the way for additional massive statistical analysis of the two near-Earth boundaries. The development of these algorithms is a promising step towards their usage for the onboard selection of data of interest.

Gautier Nguyen et al.
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Short summary
The near-Earth environment can be divided into three main regions: the magnetosphere, the magnetosheath and the solar wind. The boundaries between the three regions being called the magnetopause and the bow shock. The manual detection of these boundaries in the data of spacecraft orbiting the Earth is ambiguous and time consuming. We elaborated an automatic detection method of the two bondaries. Which provides a considerable gain of time in the analysis of spacraft in-situ data.
The near-Earth environment can be divided into three main regions: the magnetosphere, the...
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