Algorithm reliability of remote optical analysis of lunar mature rock chemical composition

Astronomy and Astrophysics – Astronomy

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Algorithms, Chemical Composition, Color-Magnitude Diagram, Lunar Albedo, Lunar Rocks, Lunar Surface, Moon, Software Reliability, Aluminum Oxides, Calcium Oxides, Iron Oxides, Magnesium Oxides, Optical Properties, Silicon Oxides, Titanium Oxides

Scientific paper

An optical diagram of albedo rho(0.62 microns) versus a color-index C1(0.62/0.38 microns) of lunar surface and corresponding to it the (FeO + TiO2) - TiO2 chemical diagram are represented. Zones occupied by 18 out of 23 species of magmatic lunar rocks within the classification which was developed by O. A. Bogaticov et al. have been extracted from these diagrams. A system of chemical component relationships of indivdual rock species has been obtained on the basis of chemical compositions of about 920 samples of lunar rocks, that permitted the composition of these species, including six principal chemical oxides (SiO2, TiO2, Al2O3, FeO, MgO and CaO) to be estimated on the rho and C1 optical parameters of mature rocks. Analysis of the algorithm reliability was executed by the calculation of rock species and their chemical compositions on the basis of FeO and TiO2 contents in the lunar sample catalog mentioned. The algorithm reliability is satisfactory for most lunar rock species.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Algorithm reliability of remote optical analysis of lunar mature rock chemical composition 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 lunar mature rock chemical composition, 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 lunar mature rock chemical composition will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1327230

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.