Monitoring space weather: using automated, accurate neural network based whistler segmentation for whistler inversion

• Published in: Space Weather
• Main Authors: Pataki, Bálint Ármin, Lichtenberger, János, Clilverd, Mark, Máthé, Gergely, Steinbach, Péter, Pásztor, Szilárd, Murár‐Juhász, Lilla, Koronczay, Dávid, Ferencz, Orsolya, Csabai, István
• Format: Article in Journal/Newspaper
• Language: English
• Published: American Geophysical Union 2022
• Subjects: Rothera; Rothera Station; Antarc*; Antarctica
• Online Access: http://nora.nerc.ac.uk/id/eprint/531929/; https://nora.nerc.ac.uk/id/eprint/531929/1/Space%20Weather%20-%202022%20-%20Pataki%20-%20Monitoring%20Space%20Weather%20Using%20Automated%20Accurate%20Neural%20Network%20Based%20Whistler.pdf; https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2021SW002981

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 relation e...