Articles | Volume 39, issue 5
https://doi.org/10.5194/angeo-39-861-2021
https://doi.org/10.5194/angeo-39-861-2021
Regular paper
 | 
08 Oct 2021
Regular paper |  | 08 Oct 2021

Unsupervised classification of simulated magnetospheric regions

Maria Elena Innocenti, Jorge Amaya, Joachim Raeder, Romain Dupuis, Banafsheh Ferdousi, and Giovanni Lapenta

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Latest update: 28 Mar 2024
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Short summary
Spacecraft missions do not always record observations at the highest possible resolution, and the so-called burst mode is switched on only occasionally. It is of paramount importance that processes of interest are sampled in burst mode. At the moment, many missions rely on a scientist in the loop, who decides when to trigger burst mode by looking at the preview data. Our work constitutes a first step towards making this decision automatic to improve mission operations and decrease human bias.