12 citations · 58 across the 15 of their papers we have counts for
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astro-ph.GA2022★ 8 cited
Machine learning technique for morphological classification of galaxies from the SDSS. III. Image-based inference of detailed features
V. Khramtsov, I. B. Vavilova, D. V. Dobrycheva +5
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 exploit…
astro-ph.GA2022★ 6 cited
Mapping the kinematic parameters of the Galaxy from the Gaia EDR3 red giants and sub-giants
P. N. Fedorov, V. S. Akhmetov, A. B. Velichko +2
We present the results of a kinematic analysis of red giants and subgiants whose centroids are in the plane of our Galaxy. For this, the positions, parallaxes, proper motions, and…