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Abstract: A Machine Learning Approach to Surveying Solar Energetic Particle Time Profiles in Parker Solar Probe EPI-Hi HET Data (AGU25)

A Machine Learning Approach to Surveying Solar Energetic Particle Time Profiles in Parker Solar Probe EPI-Hi HET Data

Allan Wayne Labrador1, Ashish Mahabal2, Eric R Christian3, Christina Cohen4, Richard A Leske4, David J McComas5, J. Grant Mitchell6, Gabriel Domingo Muro4, Sungmin Pak7, Jamie Sue Rankin8, Nathan Schwadron9, Mark E Wiedenbeck10 and Zigong Xu2, (1)California Institute of Technology, Pasadena, United States, (2)California Institute of Technology, Pasadena, CA, United States, (3)NASA GSFC, Greenbelt, MD, United States, (4)Caltech, Pasadena, United States, (5)Princeton University, Department of Astrophysical Sciences, Princeton, United States, (6)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (7)University of Nevada, Las Vegas, Las Vegas, United States, (8)Princeton University, Princeton, NJ, United States, (9)University of New Hampshire, Durham, NH, United States, (10)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States