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  • Presentation | SH32A: Advances in Understanding the Innermost Heliosphere II Oral
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  • [ONLINE] SH32A-09: Understanding the relationships of PSP Solar Wind Parameters with Distributed Computation using Dask and Deep Learning techniques.
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Author(s):
Joseph Gallego, Drexel University (First Author)
Jasmine Kobayashi, Southwest Research Institute Boulder
Jinsu Hong, Georgia State University
Daniela Martin, University of Delaware (Presenting Author)
Valmir Moraes Filho, Catholic University of America
Connor O'Brien, Boston University
Evangelia Samara, Catholic University of America


In this work, we use distributed computing, a large number of machines with multiple CPUs, to obtain information from data from the Parker Solar Probe (PSP). The PSP is the closest human-made object to the sun. We calculate different statistics and visualizations to better understand the dataset and its relationships.



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