Prediction of water in asteroids from spectral data shortward of 3 μm

Erzsébet Merényi, Ellen S. Howell, Andrew S. Rivkin, Larry A. Lebofsky

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

Spectra of many asteroids display a 3 μm absorption feature that has been associated with the presence of water of hydration in clays or hydrated salts. Detection of this feature, however, is difficult through the Earth's atmosphere for various reasons. Correlations were sought and detected between the 3 μm absorption band and features shortward of 3 μm, which enabled us to construct a tool for the prediction of water in asteroids from the shorter wavelength part of the spectrum. Such a prediction tool can help concentrate observing resources to those objects most likely to have water. Artificial neural network techniques were used for the investigation of the above correlations and for the prediction of the hydration state of objects. We can predict the presence of water from the <3 μm spectral window with a high, approximately 90% success rate for spectra for which prediction is possible. However, for about half the spectra in this study, no decision could be made, for lack of sufficient training information. We expect this situation to improve steadily as new data become available.

Original languageEnglish (US)
Pages (from-to)421-439
Number of pages19
JournalIcarus
Volume129
Issue number2
DOIs
StatePublished - Oct 1997
Externally publishedYes

ASJC Scopus subject areas

  • Astronomy and Astrophysics
  • Space and Planetary Science

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