This workshop will be an introduction of a machine learning pipeline to detect magnetospheric boundaries in spacecraft in situ data around Earth.
Planetary magnetospheres create multiple sharp boundaries, such as the bow shock, where the solar wind plasma is decelerated and compressed, or the magnetopause, a transition between solar wind field and planetary field. We present a pipeline using convolutional neural networks (CNNs) to identify magnetospheric boundaries in spacecraft in situ data. The boundaries are identified by a discontinuity in a magnetic field, plasma density, and in the spectrum of high-frequency waves. These measurements are available on many planetary missions. Data from Earth’s missions Cluster and THEMIS is used for CNN training.
Europlanet 2024 RI has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 871149.
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