MACHINE LEARNING IN PREDICTING MULTI-COMPONENT MINERAL COMPOSITIONS FOR SPACECRAFT X-RAY DIFFRACTION INSTRUMENTS
ELEISH, Ahmed1, MORRISON, Shaunna2, PAN, Feifei1, PRABHU, Anirudh2, DOWNS, Robert T.3, RAMPE, Elizabeth4, CASTLE, Nicholas5, BLAKE, David6, BRISTOW, Thomas F.6, HAZEN, Robert M.2, VANIMAN, David T.5, HUANG, Fang7, MING, Douglas W.4, TU, Valerie8, MORRIS, Richard V.4, SARRAZIN, Philippe C.9, TREIMAN, Allan10, CRAIG, Patricia I.5, YEN, Albert S.11, CHIPERA, Steve5, ACHILLES, Cherie N.12 and FOX, Peter13, (1)Tetherless World Constellation, Rensselaer Polytechnic Institute, 110 Eighth Street, Troy, NY 12180, (2)Earth and Planets Laboratory, Carnegie Institution for Science, 5251 Broad Branch Road NW, Washington, DC 20015, (3)Department of Geosciences, University of Arizona, Tucson, AZ 85721, (4)NASA Johnson Space Center, 2101 NASA Pkwy, Houston, TX 77058, (5)Planetary Science Institute, Tucson, AZ 85719, (6)NASA, Ames Research Center, Moffett Field, CA 94035, (7)Earth and Environmental Science, Rensselaer Polytechnic Institute, 110 Eighth Street, Troy, NY 12180, (8)Jacobs, NASA Johnson Space Center, Houston, TX 77058, (9)SETI, 339 Bernardo Ave., Suite 200, Mountain View, CA 94043, (10)Lunar and Planetary Institute, Houston, TX 77058, (11)Jet Propulsion Laboratory, Pasadena, CA 91109, (12)NASA GSFC, USRA, Greenbelt, MD 20771, (13)Rensselaer Polytechnic Institute, 5 State St, Troy, NY 12180