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  • Presentation | P23G: Machine Learning and Data Science Methods for Planetary Science I Poster
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  • P23G-2743: Using Machine Learning to Determine Asteroid Mineralogies
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  • Board 2743‚ Hall EFG (Poster Hall)
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Author(s):
Thomas Burbine, Mount Holyoke College (First Author, Presenting Author)
Sulagna Saha, Mount Holyoke College
Tanish Parida, Acton-Boxborough Regional High School
Melinda Dyar, Planetary Science Institute


We are using machine learning to mineralogically classify meteorite spectra with the goal of applying the technique to asteroid spectra.



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