Monitoring Space Weather: Using Automated, Accurate Neural Network Based Whistler Segmentation for Whistler Inversion

Monitoring Space Weather: Using Automated, Accurate Neural Network Based Whistler Segmentation for Whistler Inversion

Abstract It is challenging, yet important, to measure the—ever‐changing—cold electron density in the plasmasphere. The cold electron density inside and outside of the plasmapause is a key parameter for radiation belt dynamics. One indirect measurement is through finding the velocity dispersion relat...

Full description

Saved in:
Bibliographic Details
Main Authors: Bálint Ármin Pataki, János Lichtenberger, Mark Clilverd, Gergely Máthé, Péter Steinbach, Szilárd Pásztor, Lilla Murár‐Juhász, Dávid Koronczay, Orsolya Ferencz, István Csabai
Format: Article
Language:English
Published: Wiley 2022-02-01
Series:Space Weather
Subjects:
whistler
plasmasphere
neural network
Online Access:https://doi.org/10.1029/2021SW002981
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items