Электронный архив

Analysis of lunar macromodels using “Clementine”, “Kaguya”, and “LRO” space missions data

Показать сокращенную информацию

dc.date.accessioned 2019-01-22T20:55:57Z
dc.date.available 2019-01-22T20:55:57Z
dc.date.issued 2018
dc.identifier.uri https://dspace.kpfu.ru/xmlui/handle/net/149480
dc.description.abstract © 2018, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved. The aim of this work is to construct and analyze 3 models of the Moon’s macrofigure using the space missions data and ground observations. At the present time, the task of building a selenocentric dynamical model of the lunar macrofigure (whose origin coincides with the lunar center of mass and axes coincide with the ones of inertia) does not have final solution yet. In this work, the data from “Clementine”, “Kaguya”, and “LRO” space missions as well as large-scale astroplates of the Moon with stars were used. 3 models were constructed using the multiparametric harmonic analysis and expansion in spherical functions. Based on the study of the isohypses built at longitudes λ =400; 200; 00;-200;-400 we may conclude that: 1. The mean level of the lunar surface in the South is higher than the one of the Northern hemisphere. 2. The shape of hypsometric curves of “Clementine” space mission’s isohypses are similar to the ones taken from “DSC” catalogue; “Kaguya”, “LRO” isohypses’ variations are significantly different from them.
dc.title Analysis of lunar macromodels using “Clementine”, “Kaguya”, and “LRO” space missions data
dc.type Conference Paper
dc.collection Публикации сотрудников КФУ
dc.source.id SCOPUS-2018-SID85056104487


Файлы в этом документе

Данный элемент включен в следующие коллекции

  • Публикации сотрудников КФУ Scopus [24551]
    Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.

Показать сокращенную информацию

Поиск в электронном архиве


Расширенный поиск

Просмотр

Моя учетная запись

Статистика