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

Viewed

Total article views: 5,093 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,637 1,346 110 5,093 221 149 195
  • HTML: 3,637
  • PDF: 1,346
  • XML: 110
  • Total: 5,093
  • Supplement: 221
  • BibTeX: 149
  • EndNote: 195
Views and downloads (calculated since 03 Jun 2021)
Cumulative views and downloads (calculated since 03 Jun 2021)

Viewed (geographical distribution)

Total article views: 5,093 (including HTML, PDF, and XML) Thereof 5,029 with geography defined and 64 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 11 Jun 2026
Download
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.
Share