Prediction of Water in Asteroids from Short Wavelength (< 3 Micron) Spectral Data: A Neural Network Study, II

Details Prediction of Water in Asteroids from Short Wavelength (< 3 Micron) Spectral Data: A Neural Network Study, II Prediction of Water in Asteroids from Short Wavelength (< 3 Micron) Spectral Data: A Neural Network Study, II

Sep 1996

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1996dps....28.1019m&link_type=abstract

American Astronomical Society, DPS meeting #28, #10.19; Bulletin of the American Astronomical Society, Vol. 28, p.1100

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For the past eight years the Lebofsky group has been collecting data of the strong absorption band at 3 microns due to water or structural OH. These observations usually consisted of filter photometry in the band and at continuum points at shorter wavelengths, and then were combined with visible photometry, thus obtaining spectra in the 0.4 to 3.3 micron region. All data were converted to relative reflectance, normalized to 1.0 at 0.55 microns. We analyzed a subset of these data, about 70 spectra that existed for about 40 objects, in 1992 (Merenyi et al., BAAS 1992), and found indication that a relationship may exist between the 3-micron water band and some other feature(s) below 3 microns. A larger data set, about 120 spectra of 70 objects became available by 1995. The repeated analysis (Merenyi et al., BAAS 1995; and Icarus, submitted, 1996) clearly confirmed the earlier hypothesis. We used an Artificial Neural Network classifier to derive this conclusion, with over 90% success, using the overall spectrum shape. Vilas (Icarus 111, 1994) looked for correlation specifically between a 0.7 micron feature and the 3-micron band and found it to be true to 80%. That correlation, however, does not work at all for the hydrated E and M-class asteroids, for which our neural net did make reasonable predictions. This suggests that other features, beside the 0.7 micron one, can be involved. We further investigate this subject by gleaning knowledge from the neural net. Details of our findings will be presented.

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