activity
20202026
most citedDiscovery of the Polar Ring Galaxies with deep learning

4 citations · 10 across the 13 of their papers we have counts for

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Showing 2025Show all

6 papers · 1 filter

astro-ph.GA2025★ 2 cited

NGC 3521 as the Milky Way near twin: spectral energy distribution from UV to radio decameter ranges

O. V. Kompaniiets, I. B. Vavilova, Y. V. Vasylkivskyi +10

Milky Way analogues (MWAs) are usually selected from structural and kinematic properties, but robust SED-based similarity criteria are limited by heterogeneous photometry and incom…

astro-ph.GA2025

Galaxy rotation curve based on RGB stars from the Gaia DR3 catalogue

P. N. Fedorov, A. M. Dmytrenko, V. S. Akhmetov +8

In this paper, we construct a detailed circular velocity curve of the Milky Way out to 20 kpc based on the radial component of the Jeans equation in cylindrical coordinates, assumi…

astro-ph.GA2025

Milky Way galaxy-analogs and isolated galaxies with bars: environmental density in the Local Volume

O. V. Kompaniiets, I. B. Vavilova, O. M. Kukhar +6

The environmental density of galaxies within the cosmic web constrains their 3D locations in filaments, voids, groups, and clusters. It traces the distribution of baryons and the i…

astro-ph.IM2025★ 2 cited

Ukrainian Wartime Astronomy and its Prospects

Danilo Albergaria, Kateryna Frantseva, Pedro Russo +20

The Russian invasion of Ukraine damaged or compromised astronomical facilities and has prompted the displacement of researchers. A plan to restore Ukrainian astronomy, rooted in a…

astro-ph.HE2025

The 2MIG isolated AGNs -- 2. X-ray general properties and peculiarities

O. V. Kompaniiets, A. A. Vasylenko, I. B. Vavilova

We have analysed a sample of 2MIG isolated galaxies hosting AGNs (isolated AGNs) to assess whether their nuclear activity differs from that in denser environments. The isolation cr…

astro-ph.GA2025★ 4 cited

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…