Progress on the Recalibration and Rectification of Galileo NIMS Spectral Images of the Galilean Satellites

Details Progress on the Recalibration and Rectification of Galileo NIMS Spectral Images of the Galilean Satellites Progress on the Recalibration and Rectification of Galileo NIMS Spectral Images of the Galilean Satellites

May 2006

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006agusm.p41b..05h&link_type=abstract

American Geophysical Union, Fall Meeting 2007, abstract #P41B-05

Other

5422 Ices, 5464 Remote Sensing, 5470 Surface Materials And Properties, 5494 Instruments And Techniques, 6218 Jovian Satellites

Scientific paper

We have begun a recalibration and rectification of the Galileo Near Infrared Mapping Spectrometer (NIMS) dataset. The rectification of about half of the NIMS observations of Ganymede had previously been completed, and we should soon finish the rest of that dataset. The recalibration involves starting with the raw instrument data records, removing dark levels and patterns, and applying a new radiometric calibration that principally improves the results at wavelengths below 1 μm. At high phase angles, the instrument viewed through parts of a rotating section of the spacecraft, generically called "booms", which cause the periodic obscuration of the target with added reflected and thermal energy. The effects of the booms were originally poorly compensated for, and we intend to introduce a procedure that properly identifies the affected data, and that also recovers data that has been only partially obscured. This boom correction will be applied first on several high-phase Ganymede observations. Other rectification procedures to be developed include an accurate radiometric calibration for the highest gain state (used primarily for Callisto observations), and an improved radiation spike remover in observations where the spike density is more than about 50% (used primarily for Europa observations). We will also apply our water ice modeling capability to the newly calibrated Ganymede observations to separate the ice and non-ice spectra, and characterize the ice grain size and crystallinity as a function of location.

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