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0223U000888,
0122U001578
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The gravitationally lensed quasars and active galactic nuclei: searching and researching based on the modern observations
Akhmetov Volodymyr S., Кандидат фізико-математичних наук
21-01-2023
V.N. Karazin Kharkiv National University
We combined data from different catalogs of spectroscopically confirmed extragalactic objects to create the most complete training sample for performing extragalactic object classification. The use of artificial neural networks made it possible to develop a unique method for the classification of extragalactic objects for the search for GLQs and AGNs in modern sky surveys. The combination of data from the latest GAIA astrometric catalogs with data from the ALLWISE photometric survey of the sky has significantly improved the efficiency of the classification of extragalactic objects. From the well-sampled light curves of components of gravitationally lensed system PS J0147+4630 the time delay of their brightness variation has been estimated as well as the presence of microlensing. Analysis of the components spectra allowed to derive the reliable quasar–source redshift of z=2.357±0.002. More accurate model of gravitational lens of PS J0147+4630 has been built. For the first time, we have explained the phenomenon of apparent counter-rotation in the torus of NGC 1068 by the effect of the wind, which is considered as the radiation pressure and the effect of the orientation of the torus. Performed numerical simulations of the torus taking into account the mutual forces between particles (clouds), and also used a ray tracing algorithm that allows for the mutual obscuration of clouds to be taken into account and obtain their velocity distributions to simulate the ALMA observational maps, which show the effect of apparent counter-rotation and may explain the discovery, obtained by ALMA.
Berdina Lyudmyla A.
Zheleznyak Olexandr P.
Synelnikov Igor Y.
Skolota Sergiy V.
Tsvyetkova Viktoriya S.
Schalyapin Vyacheslav M
2023-01-21
Updated: 2026-01-01
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