Unsupervised classification of simulated magnetospheric regions

@article{Innocenti2021UnsupervisedCO,
  title={Unsupervised classification of simulated magnetospheric regions},
  author={Maria Elena Innocenti and Jorge Amaya and Joachim Raeder and Romain Dupuis and Banafsheh Ferdousi and Giovanni Lapenta},
  journal={ArXiv},
  year={2021},
  volume={abs/2109.04916}
}
Abstract. In magnetospheric missions, burst mode data sampling should be triggered in the presence of processes of scientific or opera- tional interest. We present an unsupervised classification method for magnetospheric regions, that could constitute the first-step of a multi-step method for the automatic identification of magnetospheric processes of interest. Our method is based on Self Organizing Maps (SOMs), and we test it preliminarily on data points from global magnetospheric simulations… Expand
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