Classification of In-Situ Solar Wind Data Measured by Solar Orbiter/SWA-PAS and HIS Using Machine Learning

Connecting in-situ solar wind properties with their source regions on the Sun has long been one of the unsolved questions in heliophysics. This challenge can now be addressed using modern AI/ML techniques and big data analysis algorithms. In this work, we apply state-of-the-art AI/ML technology on in-situ solar wind measurements made by the Heavy Ion Sensor (HIS) and Proton and Alpha Particle Sensor (PAS) onboard the recent Solar Orbiter mission (launched in 2020) to classify different types of solar wind. These data-driven classifications may provide insights into their coronal origins and could significantly help heliophysicists in understanding the long-standing question of where the slow solar wind originates.