Articles | Volume 39, issue 5
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


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on angeo-2021-33', Anonymous Referee #1, 23 Jun 2021
    • AC1: 'Reply on RC1', Maria Elena Innocenti, 08 Jul 2021
      • AC2: 'Reply on AC1 / 2', Maria Elena Innocenti, 14 Jul 2021
  • RC2: 'Comment on angeo-2021-33', Anonymous Referee #2, 01 Jul 2021
    • AC3: 'Reply on RC2', Maria Elena Innocenti, 14 Jul 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by editor and referees) (03 Aug 2021) by Minna Palmroth
AR by Maria Elena Innocenti on behalf of the Authors (06 Aug 2021)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (06 Aug 2021) by Minna Palmroth
RR by Anonymous Referee #1 (27 Aug 2021)
RR by Anonymous Referee #2 (08 Sep 2021)
ED: Publish subject to technical corrections (08 Sep 2021) by Minna Palmroth
AR by Maria Elena Innocenti on behalf of the Authors (08 Sep 2021)  Author's response    Manuscript
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.