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Lunar geophysical parameters inversion based on gravity/topography admittance and particle swarm optimization
Authors:Zhen Zhong  Fei Li  Jianguo Yan  Peng Yan  James M Dohm
Institution:1. School of Physics and Electronic Science, Guizhou Normal University, Guiyang 550001, China;2. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430070, China;3. School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China;4. RISE Project, National Astronomical Observatory of Japan, Oshu 0230861, Japan;5. The University Museum, The University of Tokyo, Tokyo 1130033, Japan
Abstract:This paper presents a FORTRAN computer program. The program as code will be used for lunar parameter inversions based on gravity/topography admittance. This will be done by assuming that the lunar lithosphere is modeled as a thin elastic spherical shell. The parameters discussed here include; load ratio, crustal thickness, subsurface load depth, crustal density and elastic lithosphere thickness. The admittance of the best-fitting model can be found through automatically adjusting misfits between one theoretical admittance and an observed one. The results in this paper indicate that this research’s theoretical model is reasonable for exploring the best-fitting parameters. In addition, this code is not only able to automatically and simultaneously calculate the global optimum solution of the parameters studied, but also performs well in computational speed. The code can be easily modified to include more parameter inversions; such as the inversion for subsurface density anomaly and the case of considering infilling material in some lunar mare basins.
Keywords:Gravity/topography admittance  PSO (particle swarm optimization)  Load ratio  Subsurface load  Elastic lithosphere thickness
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