299 citations · 402 across the 15 of their papers we have counts for
7 papers · 1 filter
Discovery of the Polar Ring Galaxies with deep learning
D. V. Dobrycheva, O. O. Hetmantsev, I. B. Vavilova +3
The aim of our research is to create a catalog of strong and good candidates for PRGs using existing catalogs of PRGs, develop an image-based approach with machine learning methods…
NGC3521 as the Milky Way analogue: spectral energy distributon from UV to Radio and photometric variability
O. S. Pastoven, O. V. Kompaniiets, I. B. Vavilova +1
We studied the multiwavelength properties of NGC 3521, the Milky Way galaxy-twin, from UV- to radio, exploring the data from GALEX for UV-, SDSS for optical, 2MASS, WISE, MIPS (Spi…
An advanced approach for definition of the "Milky Way galaxies-analogues"
Iryna B. Vavilova, Petr M. Fedorov, Daria V. Dobrycheva +5
Our Galaxy - the Milky Way - has certain features of the structure and evolution. The morphological, photometric, kinematic, and chemodynamical properties are usually considered in…
Machine learning technique for morphological classification of galaxies from the SDSS. III. Image-based inference of detailed features
V. Khramtsov, I. B. Vavilova, D. V. Dobrycheva +5
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 exploit…
Machine learning technique for morphological classification of galaxies from SDSS. II. The image-based morphological catalogs of galaxies at 0.02<z<0.1
I. B. Vavilova, V. Khramtsov, D. V. Dobrycheva +3
We applied the image-based approach with a convolutional neural network model to the sample of low-redshifts galaxies with from the SDSS DR9. We divided i…
The Voronoi tessellation method in astronomy
Irina Vavilova, Andrii Elyiv, Daria Dobrycheva +1
The Voronoi tessellation is a natural way of space segmentation, which has many applications in various fields of science and technology, as well as in social sciences and visual a…