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Exoplanet Search Using Time Series Analysis

Student: Victoria Godunova

Supervisor: Valentina Kuskova

Faculty: International laboratory for Applied Network Research

Educational Programme: Applied Statistics with Network Analysis (Master)

Year of Graduation: 2020

Today more and more researchers, professional scientists and amateurs are trying themselves in the promising and inspiring field of searching for exoplanets. It is obvious that the result of the growth of the scientific community is an increase in various methods and approaches, including interdisciplinary ones, to solve this problem, which can potentially lead to the transition of this task to the trivial section. In this paper, an attempt was made to create a model for determining the presence of exoplanets in the studied stars by analysing time series, applying filters, linear regression and knowledge from astronomy. For the resulting answer to the question whether a particular star is the owner of a planet, all the techniques obtained during the study is used. The feature of accounting for physical paradigms in improving the quality of the algorithm was developed entirely independently through the study of the subject area.

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