Computer Science
Scientific paper
Jun 1994
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1994sosyr..28..242e&link_type=abstract
Solar System Research, Vol. 28, No. 3, p. 242 - 253
Computer Science
Moon Rocks: Chemical Composition
Scientific paper
The optical diagram of albedo ρ(0.62 μm) vs. the color-index C1(0.62/0.38 μm) of the lunar surface and the chemical composition corresponding to it (FeO+TiO2)-TiO2 are used to extract zones occupying 18 out of the 23 species of magmatic lunar rocks, appearing in the classification developed by Bogatikov et al. (1985). Using the chemical compositions of nearly 920 samples of lunar rocks, graphical and analytic representations are obtained of the chemical components of separate rock species, making it possible to estimate from the optical parameters of ρ and C1 of mature rocks their composition, representing six basic chemical oxides: SiO2, TiO2, Al2O3, FeO, MgO, and CaO. The reliability of this algorithm was analyzed by calculating the shape of lunar rocks and their chemical composition from the original contents of FeO and TiO2 in the catalog of rock samples mentioned. The algorithm reliability is found to be satisfactory for the overwhelming majority of rock species.
No associations
LandOfFree
Algorithm reliability of remote optical analysis of the chemical composition of mature lunar rock. does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Algorithm reliability of remote optical analysis of the chemical composition of mature lunar rock., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Algorithm reliability of remote optical analysis of the chemical composition of mature lunar rock. will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1508588