Investigating Chemical Compositions of Select Saturnian Satellites via Mosaicking of Cassini VIMS Observations.

Details Investigating Chemical Compositions of Select Saturnian Satellites via Mosaicking of Cassini VIMS Observations. Investigating Chemical Compositions of Select Saturnian Satellites via Mosaicking of Cassini VIMS Observations.

Jan 2012

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2012aas...21933414h&link_type=abstract

American Astronomical Society, AAS Meeting #219, #334.14

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Cassini has collected data of many of Saturn's moons which provide information on the surface composition of the satellites and ultimately investigate their chemical and physical history. Mosaics are vital in analyzing the large amounts of data gathered from VIMS. Programs ENVI 4.8 and ISIS 3 were utilized and their results compared to determine optimum efficiency and output when creating mosaics. It was desirable to duplicate the cluster analysis of Mimas performed by Marzo [1] to definitively prove ISIS 3's capability to create mosaics identical to ENVI. Concerning the satellites of Saturn we were interested in searching for evidence of polycyclic aromatic hydrocarbons (PAHs) as well as CO2 via cluster analysis. Preliminary results of Mimas show that the outline of Hershel crater belongs to a different group than the immediate surroundings implicating a variation in the physical properties of the ice. Since the clustering was done focusing on a short wavelength range around the 1.5 micron water band the variation is most likely due to grain size differences as shown by Stephan et al (2005) in their study of Ganymede. The other intriguing feature outlined by the clustering of Mimas is a pattern on the side of the ring outlining the Hershel crater. The representative spectrum of this group shows an anomaly that could be due to contamination of minerals from an impact. Further analysis is necessary to confirm this preliminary result. The ultimate goal of our attempt at reproducing the mosaic independently (with ISIS3) and to repeat the cluster analysis is to investigate this intriguing result.

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