Automated bow shock and magnetopause boundary detection with Cassini using threshold and deep learning methods

Automated bow shock and magnetopause boundary detection with Cassini using threshold and deep learning methods

Two algorithms set for automatic detection of bow shock (BS) and magnetopause (MP) boundaries at Saturn using in situ magnetic field and plasma data acquired by the Cassini spacecraft are presented. Traditional threshold-based and modern deep learning algorithms were investigated for the task of bou...

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Bibliographic Details
Main Authors: I Kit Cheng, Nicholas Achilleos, Andy Smith
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-10-01
Series:Frontiers in Astronomy and Space Sciences
Subjects:
Saturn’s magnetosphere
bow shock
magnetopause
automation
threshold anomaly detection
convolutional neural networks
Online Access:https://www.frontiersin.org/articles/10.3389/fspas.2022.1016453/full

Internet

https://www.frontiersin.org/articles/10.3389/fspas.2022.1016453/full

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