Modeling Dense Star Clusters in the Milky Way and beyond with the Cluster Monte Carlo Code
文献类型：期刊论文
| 作者 | Rodriguez, Carl L.2,3; Weatherford, Newlin C.4,5; Coughlin, Scott C.5; Amaro-Seoane, Pau6,7,8,9,10; Breivik, Katelyn11; Chatterjee, Sourav12; Fragione, Giacomo4,5; Kiroglu, Fulya4,5; Kremer, Kyle1,13; Rui, Nicholas Z.1 |
| 刊名 | ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES
 |
| 出版日期 | 2022-02-01 |
| 卷号 | 258期号:2页码:21 |
| ISSN号 | 0067-0049 |
| DOI | 10.3847/1538-4365/ac2edf |
| 英文摘要 | We describe the public release of the Cluster Monte Carlo (CMC) code, a parallel, star-by-star N-body code for modeling dense star clusters. CMC treats collisional stellar dynamics using Henon's method, where the cumulative effect of many two-body encounters is statistically reproduced as a single effective encounter between nearest-neighbor particles on a relaxation timescale. The star-by-star approach allows for the inclusion of additional physics, including strong gravitational three- and four-body encounters, two-body tidal and gravitational-wave captures, mass loss in arbitrary galactic tidal fields, and stellar evolution for both single and binary stars. The public release of CMC is pinned directly to the COSMIC population synthesis code, allowing dynamical star cluster simulations and population synthesis studies to be performed using identical assumptions about the stellar physics and initial conditions. As a demonstration, we present two examples of star cluster modeling: first, we perform the largest (N = 10(8)) star-by-star N-body simulation of a Plummer sphere evolving to core collapse, reproducing the expected self-similar density profile over more than 15 orders of magnitude; second, we generate realistic models for typical globular clusters, and we show that their dynamical evolution can produce significant numbers of black hole mergers with masses greater than those produced from isolated binary evolution (such as GW190521, a recently reported merger with component masses in the pulsational pair-instability mass gap). |
| 资助项目 | NSF at Carnegie Mellon University[AST2009916] ; NSF at Northwestern University[AST-1716762] ; National Science Foundation[ACI-1548562] ; NSF at the Pittsburgh Supercomputing Center (PSC)[ACI-1928147] ; CIERA Riedel Family Graduate Fellowship ; Turkish Fulbright Commission ; NSF Astronomy and Astrophysics Postdoctoral Fellowship[AST-2001751] ; Ramon y Cajal Programme of the Ministry of Economy, Industry and Competitiveness of Spain ; Programa Estatal de Generacion de Conocimiento[PGC2018-096663-B-C43] ; Dominic Orr Graduate Fellowship at Caltech |
| WOS研究方向 | Astronomy & Astrophysics |
| 语种 | 英语 |
| WOS记录号 | WOS:000743703600001 |
| 出版者 | IOP Publishing Ltd |
| 源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/59859]  |
| 专题 | 中国科学院数学与系统科学研究院 |
| 通讯作者 | Rodriguez, Carl L. |
| 作者单位 | 1.CALTECH, TAPIR, Pasadena, CA 91125 USA 2.Carnegie Mellon Univ, McWilliams Ctr Cosmol, Pittsburgh, PA 15213 USA 3.Carnegie Mellon Univ, Dept Phys, Pittsburgh, PA 15213 USA 4.Northwestern Univ, Dept Phys & Astron, Evanston, IL 60208 USA 5.Northwestern Univ, Ctr Interdisciplinary Explorat & Res Astrophys CI, Evanston, IL 60208 USA 6.Univ Politecn Valencia, Camino Vera,S-N, E-46022 Valencia, Spain 7.DESY Zeuthen, Platanenallee 6, D-15738 Zeuthen, Germany 8.Chinese Acad Sci, Acad Math & Syst Sci, Inst Appl Math, Beijing 100190, Peoples R China 9.Kavli Inst Astron & Astrophys, Beijing 100871, Peoples R China 10.TU Berlin, Zentrum Astron & Astrophy, Hardenbergstr 36, D-10623 Berlin, Germany |
| 推荐引用方式 GB/T 7714 | Rodriguez, Carl L.,Weatherford, Newlin C.,Coughlin, Scott C.,et al. Modeling Dense Star Clusters in the Milky Way and beyond with the Cluster Monte Carlo Code[J]. ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES,2022,258(2):21. |
| APA | Rodriguez, Carl L..,Weatherford, Newlin C..,Coughlin, Scott C..,Amaro-Seoane, Pau.,Breivik, Katelyn.,...&Rasio, Frederic A..(2022).Modeling Dense Star Clusters in the Milky Way and beyond with the Cluster Monte Carlo Code.ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES,258(2),21. |
| MLA | Rodriguez, Carl L.,et al."Modeling Dense Star Clusters in the Milky Way and beyond with the Cluster Monte Carlo Code".ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES 258.2(2022):21. |
入库方式： OAI收割
来源：数学与系统科学研究院
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