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Massive multi-mission statistical study and analytical modeling of the Earth’s magnetopause: 1 - A gradient boosting based automatic detection of near-Earth regions
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  • Gautier Nguyen,
  • Nicolas Aunai,
  • Bayane Michotte de Welle,
  • Alexis Jeandet,
  • Benoit Lavraud,
  • Dominique Fontaine
Gautier Nguyen
Direction Générale de l'Armement

Corresponding Author:[email protected]

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Nicolas Aunai
Ecole polytechnique
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Bayane Michotte de Welle
Ecole polytechnique
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Alexis Jeandet
Ecole polytechnique
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Benoit Lavraud
Institut de Recherche en Astrophysique et Planetologie - CNRS
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Dominique Fontaine
Laboratoire de Physique des Plasmas (LPP/CNRS), Paris, France
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Abstract

We present an automatic classification method of the three near-Earth regions, the magnetosphere, the magnetosheath and the solar wind from their in-situ data measurement by multiple spacecraft. Based on gradient boosting classifier, this very simple and very fast method outperforms the detection routines based on manually-set thresholds. The method is used to identify 15 062 magnetopause crossings and 17 227 bow shock crossings in the data of 11 different spacecraft of the THEMIS, ARTEMIS, Cluster, MMS and Double Star missions and for a total of 83 cumulated years. These multi-mission catalogs are easily reproducible, can be automatically enlarged with additional data and their elaboration paves the way for future massive statistical analysis of near-Earth boundaries.
Jan 2022Published in Journal of Geophysical Research: Space Physics volume 127 issue 1. 10.1029/2021JA029773