Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Dobrycheva, D."'
Autor:
Luk'yanyk, I., Kulyk, I., Shubina, O., Pavlenko, Ya., Vasylenko, M., Dobrycheva, D., Korsun, P.
In recent years, the topic of existence and exploration of exocomets has been gaining increasing attention. The asymmetrical decrease in the stellar brightness due to the passage of a comet-like object in front of the star was successfully predicted.
Externí odkaz:
http://arxiv.org/abs/2407.17961
Autor:
Dobrycheva, D. V., Vasylenko, M. Yu., Kulyk, I. V., Pavlenko, Ya. V., Shubina, O. S., Luk'yanyk, I. V., Korsun, P. P.
This study introduces an approach to detecting exocomet transits in the dataset of the Transiting Exoplanet Survey Satellite (TESS), specifically within its Sector 1. Given the limited number of exocomet transits detected in the observed light curves
Externí odkaz:
http://arxiv.org/abs/2402.19075
Autor:
Khramtsov, V., Vavilova, I. B., Dobrycheva, D. V., Vasylenko, M. Yu., Melnyk, O. V., Elyiv, A. A., Akhmetov, V. S., Dmytrenko, A. M.
Publikováno v:
Space Science and Technology, 2022
This paper follows series of our works on the applicability of various machine learning methods to the morphological galaxy classification (Vavilova et al., 2021, 2022). We exploited the sample of 315776 SDSS DR9 galaxies with absolute stellar magnit
Externí odkaz:
http://arxiv.org/abs/2209.12194
Autor:
Vavilova, I. B., Khramtsov, V., Dobrycheva, D. V., Vasylenko, M. Yu., Elyiv, A. A., Melnyk, O. V.
Publikováno v:
Space Sci. & Technol. 2022; 28(1):03-22
We applied the image-based approach with a convolutional neural network model to the sample of low-redshifts galaxies with $-24^{m}
Externí odkaz:
http://arxiv.org/abs/2203.06373
Aims. The aim of our work is to analyze the light curves of $\beta$ Pic recently observed by TESS in sectors 32, 33, and 34, searching for the signatures of exocomet transits. Methods. We process the $\beta$ Pic light curves from the MAST database, a
Externí odkaz:
http://arxiv.org/abs/2202.13373
Publikováno v:
A&A 635, A124 (2020)
Quickly growing computing facilities and an increasing number of extragalactic observations encourage the application of data-driven approaches to uncover hidden relations from astronomical data. In this work we raise the problem of distance reconstr
Externí odkaz:
http://arxiv.org/abs/1910.07317
Akademický článek
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Autor:
Vavilova, I. B., Dobrycheva, D. V., Vasylenko, M. Yu., Elyiv, A. A., Melnyk, O. V., Khramtsov, V.
Publikováno v:
A&A 648, A122 (2021)
Methods. We used different galaxy classification techniques: human labeling, multi-photometry diagrams, Naive Bayes, Logistic Regression, Support Vector Machine, Random Forest, k-Nearest Neighbors, and k-fold validation. Results. We present results o
Externí odkaz:
http://arxiv.org/abs/1712.08955
Publikováno v:
ASP Conference Series; 2024, Vol. 535, p103-106, 4p
Akademický článek
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