Zobrazeno 1 - 10
of 277
pro vyhledávání: '"Elyiv, A"'
Autor:
Khramtsov, V., Vavilova, I. B., Dobrycheva, D. V., Vasylenko, M. Yu., Melnyk, O. V., Elyiv, A. A., Akhmetov, V. S., Dmytrenko, A. M.
Publikováno v:
Space Science and Technology, 2022
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 exploited the sample of 315776 SDSS DR9 galaxies with absolute stellar magnit
Externí odkaz:
http://arxiv.org/abs/2209.12194
Autor:
Vavilova, I. B., Khramtsov, V., Dobrycheva, D. V., Vasylenko, M. Yu., Elyiv, A. A., Melnyk, O. V.
Publikováno v:
Space Sci. & Technol. 2022; 28(1):03-22
We applied the image-based approach with a convolutional neural network model to the sample of low-redshifts galaxies with $-24^{m}
Externí odkaz:
http://arxiv.org/abs/2203.06373
Publikováno v:
Intelligent Astrophysics. Edited by I. Zelinka, M. Brescia and D. Baron. Emergence, Complexity and Computation, Vol 39. ISBN: 978-3-030-65867-0. Springer, Cham, 2021, p. 57-79
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 use
Externí odkaz:
http://arxiv.org/abs/2012.08965
Publikováno v:
A&A 635, A124 (2020)
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:
http://arxiv.org/abs/1910.07317
Autor:
Chiappetti, L., Fotopoulou, S., Lidman, C., Faccioli, L., Pacaud, F., Elyiv, A., Paltani, S., Pierre, M., Plionis, M., Adami, C., Alis, S., Altieri, B., Baldry, I., Bolzonella, M., Bongiorno, A., Brown, M., Driver, S., Elmer, E., Franzetti, P., Grootes, M., Guglielmo, V., Iovino, A., Koulouridis, E., Lefevre, J. P., Liske, J., Maurogordato, S., Melnyk, O., Owers, M., Poggianti, B., Polletta, M., Pompei, E., Ponman, T., Robotham, A., Sadibekova, T., Tuffs, R., Valtchanov, I., Vignali, C., Wagner, G.
We present the version of the point source catalogue of the XXL Survey that was used, in part, in the first series of XXL papers. In this paper we release, in our database in Milan and at CDS: (i) the X-ray source catalogue with 26056 objects in two
Externí odkaz:
http://arxiv.org/abs/1810.03929
Autor:
Koulouridis, E., Ricci, M., Giles, P., Adami, C., Ramos-Ceja, M., Pierre, M., Plionis, M., Lidman, C., Georgantopoulos, I., Chiappetti, L., Elyiv, A., Ettori, S., Faccioli, L., Fotopoulou, S., Gastaldello, F., Pacaud, F., Paltani, S., Vignali, C.
We present the results of a study of the AGN density in a homogeneous and well-studied sample of 167 bona fide X-ray galaxy clusters ($0.1
Externí odkaz:
http://arxiv.org/abs/1809.00683
Autor:
Guglielmo, V., Poggianti, B. M., Vulcani, B., Moretti, A., Fritz, J., Gastaldello, F., Adami, C., Caretta, C. A., Willis, J., Koulouridis, E., Ceja, M. E. Ramos, Giles, P., Baldry, I., Birkinshaw, M., Bongiorno, A., Brown, M., Chiappetti, L., Driver, S., Elyiv, A., Evrard, A., Grootes, M., Guennou, L., Hopkins, A., Horellou, C., Iovino, A., Maurogordato, S., Owers, M., Pacaud, F., Paltani, S., Pierre, M., Plionis, M., Ponman, T., Robotham, A., Sadibekova, T., Smolčić, V., Tuffs, R., Vignali, C.
Superclusters form from the largest enhancements in the primordial density perturbation field and extend for tens of Mpc, tracing the large-scale structure of the Universe. We characterise XLSSsCN01, a rich supercluster at z~0.3 detected in the XXL S
Externí odkaz:
http://arxiv.org/abs/1805.03842
Autor:
Vavilova, I. B., Dobrycheva, D. V., Vasylenko, M. Yu., Elyiv, A. A., Melnyk, O. V., Khramtsov, V.
Publikováno v:
A&A 648, A122 (2021)
Methods. We used different galaxy classification techniques: human labeling, multi-photometry diagrams, Naive Bayes, Logistic Regression, Support Vector Machine, Random Forest, k-Nearest Neighbors, and k-fold validation. Results. We present results o
Externí odkaz:
http://arxiv.org/abs/1712.08955
Autor:
Melnyk, O., Elyiv, A., Smolcic, V., Plionis, M., Koulouridis, E., Fotopoulou, S., Chiappetti, L., Adami, C., Baran, N., Butler, A., Delhaize, J., Delvecchio, I., Finet, F., Huynh, M., Lidman, C., Pierre, M., Pompei, E., Vignali, C., Surdej, J.
Publikováno v:
A&A 620, A6 (2018)
This work is part of a series of studies focusing on the environment and the properties of the X-ray selected active galactic nuclei (AGN) population from the XXL survey. The present survey, given its large area, continuity, extensive multiwavelength
Externí odkaz:
http://arxiv.org/abs/1712.01872
Autor:
Farahi, A., Guglielmo, V., Evrard, A. E., Poggianti, B. M., Adami, C., Ettori, S., Gastaldello, F., Giles, P. A., Maughan, B. J., Rapetti, D., Sereno, M., Altieri, B., Baldry, I., Birkinshaw, M., Bolzonella, M., Bongiorno, A., Brown, M., Chiappetti, L., Driver, S. P., Elyiv, A., Garilli, B., Guennou, L., Hopkins, A., Iovino, A., Koulouridis, E., Liske, J., Maurogordato, S., Owers, M., Pacaud, F., Pierre, M., Plionis, M., Ponman, T., Robotham, A., Sadibekova, T., Scodeggio, M., Tuffs, R., Valtchanov, I.
Publikováno v:
A&A 620, A8 (2018)
An X-ray survey with the XMM-Newton telescope, XMM-XXL, has identified hundreds of galaxy groups and clusters in two 25 deg$^2$ fields. Combining spectroscopic and X-ray observations in one field, we determine how the kinetic energy of galaxies scale
Externí odkaz:
http://arxiv.org/abs/1711.07066