将马尔可夫链蒙特卡洛优化技术应用于米勒和皮特曼研究的双星

IF 1.1 4区物理与天体物理 Q3 ASTRONOMY & ASTROPHYSICS

Journal of Astrophysics and Astronomy Pub Date : 2024-03-05 DOI:10.1007/s12036-024-09997-5

Maksym Ersteniuk, Timothy Banks, Edwin Budding, Michael D. Rhodes

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引用次数: 0

摘要

对 1922 年星表中列出的 27 颗物理双星进行了模型轨道拟合。采用马尔可夫链蒙特卡洛技术来估计轨道参数的最佳拟合值和相关的不确定性。动态质量是利用希帕尔科斯（Hipparcos）任务的视差计算出来的，本文将连同这 27 个系统的轨道参数估计一起介绍。本次研究得出的质量估计值与最近发表的一项研究结果非常吻合，与华盛顿双星星表中列出的轨道参数比较也是如此，这证实了优化方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Markov Chain Monte Carlo optimization applied to double stars from Miller & Pitman research

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Markov Chain Monte Carlo optimization applied to double stars from Miller & Pitman research

Model orbits have been fitted to 27 physical double stars listed in a 1922 catalog. A Markov Chain Monte Carlo technique was applied to estimate best-fitting values and associated uncertainties for the orbital parameters. Dynamical masses were calculated using parallaxes from the Hipparcos mission and are presented in this paper with the estimates of the orbital parameters for the 27 systems. The resulting mass estimates of the current study are in good agreement with a recently published study, as are comparisons with the orbital parameters listed by the Washington Double Star catalog, confirming the validity of the optimization methodology.

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来源期刊

Journal of Astrophysics and Astronomy 地学天文-天文与天体物理

CiteScore

1.80

自引率

9.10%

发文量

审稿时长

>12 weeks

期刊介绍： The journal publishes original research papers on all aspects of astrophysics and astronomy, including instrumentation, laboratory astrophysics, and cosmology. Critical reviews of topical fields are also published. Articles submitted as letters will be considered.