27 сентября 2021  |  
6:27 PM  September 7, 2021

Three-year TSU space project supported by RSF for 4.5 million annually

© с сайта ГК "Роскосмос"Three-year TSU space project supported by RSF for 4.5 million annually

TOMSK, Sep 7 – RIA Tomsk. Scientists of the Faculty of Physics of Tomsk State University are forecasting the trajectories of near-Earth objects, in particular space debris and asteroids; the project is designed for three years and has received support from the Russian Science Foundation (RSF) of about 4.5 million rubles annually, the university's press service reports.

As explained by TSU astronomers, there are currently several hundred thousand objects in space around the Earth, among them more than 3,000 are spacecraft, only part of which is functional. The results of the project will help understand the distribution of space debris in near-Earth space and choose the optimum area for the dislocation of new satellites.

"Within the framework of a project supported by the Russian Science Foundation, (scientists) are studying the complex trajectories of near-Earth objects of artificial and natural origin <...> approaching the Earth. The availability of data on the peculiarities of their trajectories will enable to optimize the choice of areas for the deployment of new satellite systems, as well as to find the most suitable areas for the parking of expired objects," the release said.

As an employee of the university's press service clarified to RIA Tomsk, the project is designed for three years with financing of 4.5 million rubles per year to be provided within the framework of the Russian Science Foundation's support.

It is added that in addition to studying the movement of debris in space, the researchers solve another global problem - improve the accuracy of predicting the movement of asteroids approaching the Earth. The creation of a more accurate model of the movement of space bodies by TSU physicists will enable a better understanding of how dangerous they are. An algorithmic model implemented using artificial neural networks is used to analyze the data.

"The research we conduct is accompanied by a large amount of calculations, so the solution to the problem uses machine analysis... This tool will allow us to predict the motion of tens of thousands of objects and analyze more than a million time series of various dynamic and resonance characteristics," manager of the project, associate professor of the Department of Astronomy and Space Geodesy of the TSU Faculty of Physics Anna Alexandrova is quoted.

Earlier it was reported that since 2020 TSU has been training students of astronomy to work with big data, which allows to connect them to the university's research in the field of space security and studying the motion of satellites in near-Earth space. It was also reported that in 2020, a TSU postgraduate student received a grant from the Russian Foundation for Basic Research (RFBR) to study the evolution of space debris orbits.

Сайт РИА Томск /riatomsk.ru/ содержит информацию, подготовленную Региональным информационным агентством "Томск" (РИА Томск) с территорией распространения – Российская Федерация, зарубежные страны.
РИА Томск зарегистрировано в Федеральной службе по надзору в сфере связи, информационных технологий и массовых коммуникаций (Роскомнадзор) 06 ноября 2019 г. Свидетельство о регистрации ИА № ФС 77-77122.
Настоящий ресурс может содержать материалы 18+. Материалы, размещенные на правах рекламы, выходят под знаком "#" и/или "реклама". РИА Томск не несет ответственности за партнерские материалы.
Главные новости дня в нашей рассылке