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A. A. Simon-Miller (NASA's GSFC), N. J. Chanover (New Mexico State University), J. J. Hillman (University of Maryland), T. Temma (New Mexico State University), D. M. Kuehn (Pittsburg State University), D. A. Glenar (NASA's GSFC)
Data of Jupiter were obtained with the NASA GSFC Acousto-optic Imaging Spectrometer (AImS) in February 2002 at the Air Force Research Laboratory's 3.67-meter AEOS telescope. The tunable nature of AImS allows the generation of image cubes of Jupiter over the range from 500 to 1050 nm. One of the primary goals of this data set is to determine the spatial distribution and nature of the coloring agents in Jupiter's atmosphere. Using principal components analysis, the spectra can be broken into orthogonal components mapped over the visible disk of the planet. This method is limited by its orthogonal nature, though, and the use of rotated components to remove this constraint requires some a priori knowledge of the spectral constituents. Another technique, self-organizing mapping, sorts each pixel's spectrum and arranges them according to those most similar to it. This technique is particularly sensitive to end-members of the spectral distribution which can reveal new spectral characteristics. We present here preliminary results of our spectral analyses.
The author(s) of this abstract have provided an email address for comments about the abstract: Amy.Simon@gsfc.nasa.gov
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Bulletin of the American Astronomical Society, 34, #4
© 2002. The American Astronomical Soceity.