Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Andrii Elyiv"'
Publikováno v:
Radio Physics and Radio Astronomy, Vol 23, Iss 4, Pp 244-257 (2018)
Purpose: to present a brief overview of methods for restoring the large-scale structure of the Universe behind the Zone of Avoidance (ZoA) of the Milky Way; to propose a new “algorithm of darning the ZoA” and new approach based on the Generative
Publikováno v:
Kinematics and Physics of Celestial Bodies. 34:290-301
—The correlations of the color indices of central galaxies (Mr < –20.7) and their faint neighboring galaxies (Mr < –20.7) using the sample based on the SDSS DR9 (N = 60 561) have been studied. The galaxy sample was limited by the red shift 0.02
Autor:
Angela Bongiorno, R. De Propris, Florian Pacaud, M. N. Bremer, Sotiria Fotopoulou, Simon P. Driver, Marguerite Pierre, Ivan K. Baldry, E. Nwaokoro, Andrew M. Hopkins, Michael J. I. Brown, Manolis Plionis, Sean L. McGee, Steven Phillipps, Ben J Maughan, Andrew J. Young, Andrii Elyiv, L. Chiappetti, Paul Giles, Bianca M. Poggianti, Cristian Vignali
Publikováno v:
Nwaokoro, E, Phillipps, S, Young, A J, Baldry, I, Bongiorno, A, Bremer, M N, Brown, M J I, Chiappetti, L, De Propris, R, Driver, S P, Elyiv, A, Fotopoulou, S, Giles, P A, Hopkins, A M, Maughan, B, McGee, S, Pacaud, F, Pierre, M, Plionis, M, Poggianti, B M & Vignali, C 2021, ' GAMA/XXL : X-ray point sources in low-luminosity galaxies in the GAMA G02/XXL-N field ', Monthly Notices of the Royal Astronomical Society, vol. 502, no. 2, pp. 3101–3112 . https://doi.org/10.1093/mnras/stab242
Relatively few X-ray sources are known that have low-mass galaxies as hosts. This is an important restriction on studies of active galactic nuclei (AGNs), hence black holes, and of X-ray binaries (XRBs) in low-mass galaxies; addressing it requires ve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0187920f97ef63e55bfe1c36a3f9c5e2
http://hdl.handle.net/20.500.12386/32060
http://hdl.handle.net/20.500.12386/32060
Publikováno v:
Intelligent Astrophysics ISBN: 9783030658663
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 art. The varieties of the Voronoi tessellation methods are commonly used
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10e7ee48361bc71e0697449010d3cdc5
https://doi.org/10.1007/978-3-030-65867-0_3
https://doi.org/10.1007/978-3-030-65867-0_3
Autor:
Tarek Al-Ubaidi, Ivan L. Andronov, Vitaly Andruk, Iurii Babyk, Peter Bednár, Mariem Brahem, Peter Butka, Zaineb Chelly Dagdia, Rafael S. de Souza, Daria Dobrycheva, Khadija El Bouchefry, Andrii Elyiv, Lachezar Filchev, Stuart Frye, Atanas Hristov, Juliana Ivančáková, Darko Jevremović, Nataliya Kablak, Roman Kern, Sergii Khlamov, Maxim Khodachenko, Vasil Kolev, Ognyan Kounchev, Sarah Krebs, Julian Kunkel, Ashish Mahabal, Olga Melnyk, Mikhail Minin, Miroslav Mirchev, Christian Muller, Philipp Neumann, Aleksandra Nina, Ludmila Pakuliak, Lyubka Pashova, Christian Reimers, Christian Requena-Mesa, Angelo Pio Rossi, Vedran Sabol, D. Sapundjiev, Vadym Savanevych, Stepan Savchuk, Manuel Scherf, Bianca Schoen-Phelan, Georgi Simeonov, Bozhidar Srebrov, S. Stankov, Maksym Vasylenko, Irina Vavilova, T. Verhulst, Veljko Vujčić, Liubov Yankiv-Vitkovska, Laurent Yeh, Karine Zeitouni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e356a19a10ce6986b8a5fa554f47d100
https://doi.org/10.1016/b978-0-12-819154-5.00005-9
https://doi.org/10.1016/b978-0-12-819154-5.00005-9
This chapter traces the development of astronomical observational methods from visual, for decades tracking the behavior of individual objects, to modern space missions that produce data simultaneously for several hundred thousand objects in differen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e3e8cf3cfe232349eb4fe52b48438793
https://doi.org/10.1016/b978-0-12-819154-5.00015-1
https://doi.org/10.1016/b978-0-12-819154-5.00015-1
We give examples of data mining from the multiwavelength astronomical surveys to provide the automated morphological galaxy classification by multiparametric diagrams and machine learning methods; to reconstruct a large-scale galaxy distribution behi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd59631e23677961d48d133885d6105a
https://doi.org/10.1016/b978-0-12-819154-5.00028-x
https://doi.org/10.1016/b978-0-12-819154-5.00028-x
Publikováno v:
Odessa Astronomical Publications; Том 32 (2019); 46-51
Odessa Astronomical Publications; Том 32 (2019): Odessa Astronomical Publications; 46-51
Odessa Astronomical Publications, Vol 32, Iss 0, Pp 46-51 (2019)
Odessa Astronomical Publications; Том 32 (2019): Odessa Astronomical Publications; 46-51
Odessa Astronomical Publications, Vol 32, Iss 0, Pp 46-51 (2019)
We present a study on the verifica- tion of Machine Learning methods to be applied for binary morphological classification of galaxies. With this aim we used the sample of 60561 galaxies from the SDSSDR9 survey with a redshift of 0 . 02 < z < 0 . 06
Autor:
O. A. Burkhonov, Alexander S. Gusev, Olivier Wertz, T. Akhunov, Cédric Delvaux, B. P. Artamonov, Alexey V. Sergeyev, V. N. Dudinov, R. Gaisin, S. N. Nuritdinov, Andrii Elyiv, O. V. Ezhkova, A. P. Zheleznyak, V. V. Bruevich, Jean Surdej
Publikováno v:
Monthly Notices of the Royal Astronomical Society. 465:3607-3621
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:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4bbbc285bce7f1d81eb46651d8f31975