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: 2,179 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,530 599 50 2,179 141 56 38
  • HTML: 1,530
  • PDF: 599
  • XML: 50
  • Total: 2,179
  • Supplement: 141
  • BibTeX: 56
  • EndNote: 38
Views and downloads (calculated since 03 Jun 2021)
Cumulative views and downloads (calculated since 03 Jun 2021)

Viewed (geographical distribution)

Total article views: 2,179 (including HTML, PDF, and XML) Thereof 2,123 with geography defined and 56 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 16 Jun 2024
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.