Machine Learning Mid-Infrared Spectral Models for Predicting Modal Mineralogy of CI/CM Chondritic Asteroids and Bennu

  • L. B. Breitenfeld (Contributor)
  • A. D. Rogers (Contributor)
  • T. D. Glotch (Contributor)
  • Victoria E. Hamilton (Contributor)
  • Philip Christensen (Contributor)
  • D. S. Lauretta (Contributor)
  • M. E. Gemma (Contributor)
  • Kieren Howard (Contributor)
  • Denton S. Ebel (Contributor)
  • G. Kim (Contributor)
  • H. Nekvasil (Contributor)
  • N. DiFrancesco (Contributor)

Dataset

Description

This is supporting data for the paper titled "Machine Learning Mid-Infrared Spectral Models for Predicting Modal Mineralogy of CI/CM Chondritic Asteroids and Bennu". Figure S1 compares model performance of nonnegative LSMA and PLS from Pan et al. (2015). Tables S1 through S5 provide XRD data, metadata, MIR spectra using the laboratory conversion, MIR spectra using the OTES conversion and quantitative XRD results for Murchison meteorite.
Date made availableNov 19 2021
PublisherZenodo

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