Informatics and Applications
2020, Volume 14, Issue 2, pp 50-57
APPROXIMATION OF PARTICLE SIZE DISTRIBUTIONS OF LUNAR REGOLITH BASED ON THE RESAMPLING
- A. K. Gorshenin
- V. Yu. Korolev
Abstract
The paper considers the problem of modeling the size distribution of dust particles of lunar regolith based on approximating with finite lognormal mixtures. These models make it possible to take into account the stochastic nature of the intensities of splitting/baking processes during the formation of ensembles of dust of various influences (bombardment by meteorites, radiation). A method for statistical approximation of unknown distributions based on simulation of samples was developed. It is demonstrated that the model distributions fit very well to the real observations of lunar regolith gathered by missions "Apollo 11, 12, 14-17" and "Luna-24" that had been presented in the NASA's grain size catalog (317 samples).
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[+] About this article
Title
APPROXIMATION OF PARTICLE SIZE DISTRIBUTIONS OF LUNAR REGOLITH BASED ON THE RESAMPLING
Journal
Informatics and Applications
2020, Volume 14, Issue 2, pp 50-57
Cover Date
2020-06-30
DOI
10.14357/19922264200207
Print ISSN
1992-2264
Publisher
Institute of Informatics Problems, Russian Academy of Sciences
Additional Links
Key words
finite lognormal mixtures; bootstrap; EM algorithm; statistical methods
Authors
A. K. Gorshenin  ,  and V. Yu. Korolev ,
Author Affiliations
Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russian Federation
Faculty of Computational Mathematics and Cybernetics, M.V. Lomonosov Moscow State University, GSP-1, Leninskie Gory, Moscow 119991, Russian Federation
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