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Evaluation of Binary Star Formation Models Using Well-Observed Visual Binaries
| Author(s): | Malkov O., Dmitry Chulkov, Yikdem Gebrehiwot, Dana Kovaleva, Nikolay A. Skvortsov, Alexey Sytov, Solomon Belay Tessema, Alexander Tutukov, Lev Yungelson |
| Published: | In: Manolopoulos Y., Stupnikov S. (eds) Data Analytics and Management in Data Intensive Domains. DAMDID/RCDL 2018. Communications in Computer and Information Science, vol 1003, P. 91-107. Springer, Cham., 2019 |
| Abstract: | |
| Creation of the Galaxy model describing formation and evolution of binary stars requires generating and testing hypotheses related to the process of formation of binary stars and distributions of their characteristics. A set of hypotheses can be generated on the basis of a number of publications that suggested the formation of binary systems. We describe the project aimed at finding initial distributions of binary stars over masses of components, mass ratios of them, semi-major axes and eccentricities of orbit, and also pairing scenarios by means of Monte-Carlo modeling of the sample of visual binaries of luminosity class V with a set of additional restrictions, so it can be considered as free of observational incompleteness effects. We present results which allow rejecting some estimated initial distributions of visual binary star parameters. |
| Download: |
[ https://link.springer.com/chapter/10.1007/978-3-030-23584-0_6 ]
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