arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1107.3206astro-ph.COastro-ph.IM
收藏

红巨星枝尖星等定位的贝叶斯方法(上)

A Bayesian Approach to Locating the Red Giant Branch Tip Magnitude (Part I)

A. R. Conn, G. F. Lewis, R. A. Ibata, Q. A. Parker, D. B. Zucker, A. W. McConnachie, N. F. Martin, M. J. Irwin, N. Tanvir, M. A. Fardal, A. M. N. Ferguson

摘要:

我们提出了一种新的方法来识别红巨星分支(TRGB)的尖端,正如我们所展示的,即使在人口稀少的目标上也能很好地工作。此外,该方法是高度适应现有的数据为恒星星族的研究,与先验信息很容易融入算法。推导出的距离的不确定性也是有形的,很容易从后验概率分布计算。我们提供了一个大纲的算法的发展,并提出了旨在表征其能力和局限性的测试结果。然后,我们将新算法应用于三颗M31卫星:仙女座I,仙女座II和仙女座XXIII,使用泛仙女座考古调查(PAndAS)的数据,并分别推导出它们的距离为$731^{(+ 5) + 18}_{(- 4) - 17}$ kpc,$634^{(+ 2) + 15}_{(- 2) - 14}$ kpc和$733^{(+ 13)+ 23}_{(- 11) - 22}$ kpc,其中括号中出现的错误是该方法固有的组成部分,而较大的值给出了在考虑了附加误差源之后的误差。这些结果与文献中的最佳距离测定结果一致,并提供了迄今为止最小的不确定性。本文介绍了我们的新方法的基本形式的工作原理和功能,而后续文件应充分利用该方法的能力,将先验知识,并使用由此产生的算法,系统地获得距离的所有M31的卫星可识别的PAndAS调查区域。

英文摘要:

We present a new approach for identifying the Tip of the Red Giant Branch (TRGB) which, as we show, works robustly even on sparsely populated targets. Moreover, the approach is highly adaptable to the available data for the stellar population under study, with prior information readily incorporable into the algorithm. The uncertainty in the derived distances is also made tangible and easily calculable from posterior probability distributions. We provide an outline of the development of the algorithm and present the results of tests designed to characterize its capabilities and limitations. We then apply the new algorithm to three M31 satellites: Andromeda I, Andromeda II and the fainter Andromeda XXIII, using data from the Pan-Andromeda Archaeological Survey (PAndAS), and derive their distances as $731^{(+ 5) + 18}_{(- 4) - 17}$ kpc, $634^{(+ 2) + 15}_{(- 2) - 14}$ kpc and $733^{(+ 13)+ 23}_{(- 11) - 22}$ kpc respectively, where the errors appearing in parentheses are the components intrinsic to the method, while the larger values give the errors after accounting for additional sources of error. These results agree well with the best distance determinations in the literature and provide the smallest uncertainties to date. This paper is an introduction to the workings and capabilities of our new approach in its basic form, while a follow-up paper shall make full use of the method's ability to incorporate priors and use the resulting algorithm to systematically obtain distances to all of M31's satellites identifiable in the PAndAS survey area.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑