4 papers
KiDS-SQuaD II: Machine learning selection of bright extragalactic objects to search for new gravitationally lensed quasars
Vladislav Khramtsov, Alexey Sergeyev, Chiara Spiniello +9
The KiDS Strongly lensed QUAsar Detection project (KiDS-SQuaD) aims at finding as many previously undiscovered gravitational lensed quasars as possible in the Kilo Degree Survey. T…
KiDS0239-3211: A new gravitational quadruple lens candidate
A. Sergeyev, C. Spiniello, V. Khramtsov +5
We report the discovery of a candidate to quadrupole gravitationally lensed system KiDS0239-3211 based on the public data release 3 of the KiDS survey and machine learning techniqu…
Machine-learning identification of extragalactic objects in the optical-infrared all-sky surveys
Vladislav Khramtsov, Volodymyr Akhmetov
We present new fully-automatic classification model to select extragalactic objects within astronomy photometric catalogs. Construction of the our classification model is based on…
New algorithm for astrometric reduction of the wide-field images
Volodymyr Akhmetov, Sergii Khlamov, Vladislav Khramtsov +1
In this paper we presented the modified algorithm for astrometric reduction of the wide-field images. This algorithm is based on the iterative using of the method of ordinary least…