An integrated NIR and TIR approach to the plagiocase-rich regions on the Moon using M3 and Diviner data

Details An integrated NIR and TIR approach to the plagiocase-rich regions on the Moon using M3 and Diviner data An integrated NIR and TIR approach to the plagiocase-rich regions on the Moon using M3 and Diviner data

Oct 2011

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011epsc.conf.1369d&link_type=abstract

EPSC-DPS Joint Meeting 2011, held 2-7 October 2011 in Nantes, France. http://meetings.copernicus.org/epsc-dps2011, p.1369

Computer Science

Scientific paper

Recent near infrared (NIR) observations from SELENE [1], [2] and M3 [3] have uniquely identified Fe-bearing crystalline plagioclase regions on the Moon. These results are significant because they validate earlier NIR observations [4], [5] as well as characterize the widespread distribution of crystalline plagioclase across the lunar surface. The identification of Fe-bearing crystalline plagioclase in the NIR comes from a broad absorption band at approximately 1.3 μm due to electronic transitions of Fe2+ in the crystal structure. While previous NIR lab studies of plagioclase have suggested that the band depth and center position of the 1.3 μm feature may vary with Fe and An content [6], [7], the relationship between NIR spectral properties of plagioclase and its composition (An#) has yet to be quantified. Regions of nearly pure crystalline plagioclase (<5% olivine and pyroxene) as identified in NIR spectra are ideal areas to investigate the utility of thermal infrared (TIR) Diviner data to constrain plagioclase compositions. Diviner has three spectral bands near the 8 μm region chosen specifically to measure the peak of the Christiansen Feature (CF), an emissivity maximum indicative of composition [8]. New lab measurements of varying compositions of the plagioclase solid solution series demonstrate that the CF position is diagnostic of composition and linearly related to An# even when measured under a simulated lunar environment [9]. Thus an integrated NIR and TIR approach will enable plagioclase compositions to be mapped across the lunar surface and is significant for identifying rock types (e.g. ferroan anorthosites versus Alkali-suite rocks) and may ultimately constrain their method of formation (e. g. magma ocean crystallization or plutons).

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