Creation and application of an astro-informational complex of algorithms and programs for the analysis of space and ground-based observations of non-stationary stellar systems

What priority area of science and technology does it correspond to: fundamental scientific research on the most important problems of developing scientific, technical, socio-economic, socio-political, human potential to ensure the competitiveness of Ukraine in the world and the sustainable development of society and the state.

Research: fundamental

Funding source: state budget, general fund of the state budget

Amount of financing: 500 – 1000 thousand UAH. (UAH 606.42 thousand)

Starting year of the study: 2020

The total period for completing the study: 01/01/2020-12/31/2022

Prospect for further implementation in 2022-2023: to be completed

Research level: no analogues in the world

Patent: no

Additional actions requiring further study in 2022: additional funding; RETURN of planned funding, which was reduced by 30% from 01/01/2022 and 15% from 01/06/2022, of state support.

Brief description, advantages, further prospects for application.

Fundamental research on the development of software for statistically optimal mathematical modeling of the characteristics of physical processes (singals) and its application to astronomical objects. The study is carried out at the world level, some algorithms allow obtaining more accurate and probable parameter values than the analogues existing in the world. Number of publications of the leader n=400, index i10=81, total number of citations 2904, The direction of research is relevant, since they are carried out to analyze data from both ground-based observatories and modern satellites. So far they have no analogues in Ukraine. The group continues the world-famous scientific school on the study of the change of stars, started by the outstanding Ukrainian astronomer Vladimir Platonovich Tsesevich (1907-1983). An analysis is made of the multicomponent replacement of stars of various types that are at active stages of evolution, which makes it possible to improve the models of these systems, introduce new criteria for their classification, and create models.

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