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Open Astronomy

formerly Baltic Astronomy

Editor-in-Chief: Barbuy, Beatriz


IMPACT FACTOR 2018: 0.350

CiteScore 2018: 0.24

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ICV 2017: 121.03

Open Access
Online
ISSN
2543-6376
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Volume 24, Issue 4

Issues

Statistical Analysis of a Comprehensive List of Visual Binaries

D. Kovaleva / O. Malkov
  • Institute of Astronomy, Russian Academy of Sciences, 48 Pyatnitskaya Str., 119017 Moscow, Russian Federation
  • Faculty of Physics, M. V. Lomonosov Moscow State University, Leninskie Gory 1, Bld. 2, Moscow 119991, Russian Federation
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ L. Yungelson
  • Institute of Astronomy, Russian Academy of Sciences, 48 Pyatnitskaya Str., 119017 Moscow, Russian Federation
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  • De Gruyter OnlineGoogle Scholar
/ D. Chulkov
  • Institute of Astronomy, Russian Academy of Sciences, 48 Pyatnitskaya Str., 119017 Moscow, Russian Federation
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  • De Gruyter OnlineGoogle Scholar
/ G. M. Yikdem
  • Astronomy and Astrophysics Research Division, Entoto Observatory and Research Center, P.O. Box 33679 Addis Ababa, Ethiopia
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Published Online: 2017-02-18 | DOI: https://doi.org/10.1515/astro-2017-0238

Abstract

Visual binary stars are the most abundant class of observed binaries. The most comprehensive list of data on visual binaries compiled recently by cross-matching the largest catalogues of visual binaries allowed a statistical investigation of observational parameters of these systems. The dataset was cleaned by correcting uncertainties and misclassifications, and supplemented with available parallax data. The refined dataset is free from technical biases and contains 3676 presumably physical visual pairs of luminosity class V with known angular separations, magnitudes of the components, spectral types, and parallaxes. We also compiled a restricted sample of 998 pairs free from observational biases due to the probability of binary discovery. Certain distributions of observational and physical parameters of stars of our dataset are discussed.

Keywords: binaries: visual; astronomical databases: miscellaneous; catalogues

REFERENCES

About the article

Received: 2015-11-02

Accepted: 2015-11-30

Published Online: 2017-02-18

Published in Print: 2015-12-01


Citation Information: Open Astronomy, Volume 24, Issue 4, Pages 367–378, ISSN (Online) 2543-6376, DOI: https://doi.org/10.1515/astro-2017-0238.

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© 2015 D. Kovaleva et al., published by De Gruyter Open. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License. BY-NC-ND 3.0

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