Institutional Repository of Optical Astronomy Research Laboratory
| Binary Fraction Estimation of Main-sequence Stars in 12 Open Clusters: Based on the Homogeneous Data of LAMOST Survey and Gaia DR2 | |
Niu, Hubiao1,2 ; Wang, Jiaxin1; Fu, Jianning1
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| 2020-11-01 | |
| Source Publication | ASTROPHYSICAL JOURNAL
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| ISSN | 0004-637X |
| Volume | 903Issue:2Pages:93 |
| Contribution Rank | 2 |
| Abstract | Based on the homogeneous low-resolution spectra data observed by Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) and the Gaia Data Release 2 (Gaia DR2) photometric data, we chose 12 open clusters (OCs) to study their fundamental parameters and binary fractions (BFs). For each OC, more than 20 cluster members were observed by LAMOST, and some of them were observed multiple times. We used these data to derive precise metallicities of OCs. Combining the metallicities and the Gaia DR2 photometric data, we used the isochrone fitting method to obtain fundamental parameters of these OCs. By fixing metallicity during the fitting, we avoided the effect of degeneracy between the metallicity and reddening. Based on the fundamental parameters, we utilized the synthetic color-magnitude diagram (CMD) method to derive the BFs of main-sequence (MS) stars, the mass functions (MFs) with correction of binaries, and the companion mass ratio distributions. The BFs of observed MS stars in OCs in this paper vary from 29% to 55%. Extrapolating the synthetic CMD to the hydrogen-burning limit, the BFs vary from 13% to 47%. Combining MFs published by previous literature with our results, we found that MFs with correction of binaries were steeper than those without correction by Delta alpha = 0.6 0.16 in the mass range of m [1M, 2.67M]. We found that the companion mass ratio distribution in OCs of our sample was flat. We also found a significant positive correlation between the BF and density. |
| Keyword | Open star clusters Binary stars Stellar dynamics Observational astronomy |
| DOI | 10.3847/1538-4357/abb8d6 |
| URL | 查看原文 |
| Indexed By | SCI |
| Language | 英语 |
| WOS Keyword | PARSEC EVOLUTIONARY TRACKS ; MASS-RATIO DISTRIBUTION ; DYNAMICAL EVOLUTION ; STELLAR EVOLUTION ; DATA RELEASE ; SYSTEMS ; ENCOUNTERS ; TELESCOPE ; PRAESEPE ; DWARF |
| Funding Project | National Natural Science Foundation of China (NSFC)[11833002] ; National Natural Science Foundation of China (NSFC)[11673003] ; National Development and Reform Commission ; Cultivation Project for LAMOST Scientific Payoff and Research Achievement of CAMS-CAS |
| WOS Research Area | Astronomy & Astrophysics |
| WOS Subject | Astronomy & Astrophysics |
| WOS ID | WOS:000587065700001 |
| Publisher | IOP PUBLISHING LTD |
| Funding Organization | National Natural Science Foundation of China (NSFC) ; National Development and Reform Commission ; Cultivation Project for LAMOST Scientific Payoff and Research Achievement of CAMS-CAS |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.xao.ac.cn/handle/45760611-7/3711 |
| Collection | 光学天文与技术应用研究室 |
| Corresponding Author | Wang, Jiaxin |
| Affiliation | 1.Beijing Normal Univ, Dept Astron, 19 XinJieKouWai St, Beijing 100875, Peoples R China 2.Chinese Acad Sci, Xinjiang Astron Observ, 150,Sci 1 St, Urumqi 830011, Xinjiang, Peoples R China |
| First Author Affilication | Xinjiang Astronomical Observatory, Chinese Academy of Sciences |
| Recommended Citation GB/T 7714 | Niu, Hubiao,Wang, Jiaxin,Fu, Jianning. Binary Fraction Estimation of Main-sequence Stars in 12 Open Clusters: Based on the Homogeneous Data of LAMOST Survey and Gaia DR2[J]. ASTROPHYSICAL JOURNAL,2020,903(2):93. |
| APA | Niu, Hubiao,Wang, Jiaxin,&Fu, Jianning.(2020).Binary Fraction Estimation of Main-sequence Stars in 12 Open Clusters: Based on the Homogeneous Data of LAMOST Survey and Gaia DR2.ASTROPHYSICAL JOURNAL,903(2),93. |
| MLA | Niu, Hubiao,et al."Binary Fraction Estimation of Main-sequence Stars in 12 Open Clusters: Based on the Homogeneous Data of LAMOST Survey and Gaia DR2".ASTROPHYSICAL JOURNAL 903.2(2020):93. |
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| Niu-2020-Binary Frac（3351KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | View Application Full Text | |
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