2023
DOI: 10.3847/1538-3881/ace76c
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Binary Star Evolution in Different Environments: Filamentary, Fractal, Halo, and Tidal Tail Clusters

Xiaoying Pang,
Yifan Wang,
Shih-Yun Tang
et al.

Abstract: Using membership of 85 open clusters from previous studies based on Gaia Data Release 3 data, we identify binary candidates in the color–magnitude diagram for systems with mass ratio q > 0.4. The binary fraction is corrected for incompleteness at different distances due to the Gaia angular resolution limit. We find a decreasing binary fraction with increasing cluster age, with substantial scatter. For clusters with a total mass >200 M ⊙, the binary fraction is independent of cluster mas… Show more

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Cited by 7 publications
(2 citation statements)
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“…The stellar mass, m 0 , obtained in the manner described above is determined under the assumption that observed stars are single stars. However, as shown by Pang et al (2023), the unresolved binary fraction (for mass ratio q > 0.4) among 85 star clusters ranges from 5% up to 40% (Figure 2(a) in Pang et al 2023). Note that these values are lower limits of the total unresolved binary fraction.…”
Section: Binary Correctionmentioning
confidence: 82%
See 1 more Smart Citation
“…The stellar mass, m 0 , obtained in the manner described above is determined under the assumption that observed stars are single stars. However, as shown by Pang et al (2023), the unresolved binary fraction (for mass ratio q > 0.4) among 85 star clusters ranges from 5% up to 40% (Figure 2(a) in Pang et al 2023). Note that these values are lower limits of the total unresolved binary fraction.…”
Section: Binary Correctionmentioning
confidence: 82%
“…The uncertainty in the stellar mass m 0 is primarily determined by the photometric uncertainty of Gaia Data Release 3 (DR3; Gaia Collaboration et al 2023), which may result in variations in the locations of cluster members in the CMD, and variations in the estimation of the binary properties (Pang et al 2023). To determine the impact of these photometric uncertainties, we generate simulated observations.…”
Section: Binary Correctionmentioning
confidence: 99%