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arXiv 2201.07304astro-ph.GA
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Leo I 中化学-运动学结构的探测

Detection of Chemo-Kinematical Structures in Leo I

A. G. Alarcon Jara, M. Fellhauer, J. Simon, A. del Pino, S. W. Fu, S. T. Sohn

AI总结:

本研究利用 Magellan/IMACS 和 Keck/DEIMOS 数据结合 Beacon 算法,在 Leo I 矮椭球星系中检测到 14 个可能源自瓦解星团的候选恒星流,其角动量随机取向支持了溶解星团模型。

摘要:

背景:文献中已经提出了多种矮椭球(dSph)星系的形成模型,但通常它们并未与观测进行定量比较。目标:我们在观测数据集中搜寻化学动力学模式,并将结果与由纯随机运动组成的模拟星系,以及通过溶解星团和潮汐搅动模型形成的模拟矮星系进行比较。方法:我们利用了银河系 dSph Leo I 的新光谱数据集,结合了使用 Magellan/IMACS 观测的 288 颗恒星和现有的 Keck/DEIMOS 数据,为 953 颗 Leo I 成员恒星提供了速度和金属丰度测量。我们使用一种名为 Beacon 的专门开发的算法来检测观测和模拟数据中的化学-运动学模式。结果:在分析 Leo I 数据后,我们报告检测到 14 个候选恒星流,这些恒星流可能起源于瓦解的星团。这些恒星流的角动量向量是随机取向的,这与 Leo I 缺乏旋转相一致。这些结果与溶解星团模型的预测一致。相比之下,我们发现缺乏相干运动的模拟数据集中在约 99% 的时间里具有更少的候选恒星流信号。潮汐搅动模拟的化学动力学分析产生的恒星流共享一个共同的角动量取向,这与 Leo I 的数据不一致。结论:尽管很难区分哪些检测到的恒星流是真实的,哪些只是噪声,但我们可以确定,Leo I 观测数据中检测到的恒星流多于纯随机数据中的预期。

英文摘要:

Context: A variety of formation models for dwarf spheroidal (dSph) galaxies have been proposed in the literature, but generally they have not been quantitatively compared with observations. Aims: We search for chemodynamical patterns in our observational data set and compare the results with mock galaxies consisting of pure random motions, and simulated dwarfs formed via the dissolving star cluster and tidal stirring models. Methods: We made use of a new spectroscopic data set for the Milky Way dSph Leo I, combining 288 stars observed with Magellan/IMACS and existing Keck/DEIMOS data, to provide velocity and metallicity measurements for 953 Leo I member stars. We used a specially developed algorithm called Beacon to detect chemo-kinematical patterns in the observed and simulated data. Results: After analysing the Leo I data, we report the detection of 14 candidate streams of stars that may have originated in disrupted star clusters. The angular momentum vectors of these streams are randomly oriented, consistent with the lack of rotation in Leo I. These results are consistent with the predictions of the dissolving cluster model. In contrast, we find fewer candidate stream signals in mock data sets that lack coherent motions ~99% of the time. The chemodynamical analysis of the tidal stirring simulation produces streams that share a common orientation of their angular momenta, which is inconsistent with the Leo I data. Conclusions: Even though it is very difficult to distinguish which of the detected streams are real and which are only noise, we can be certain that there are more streams detected in the observational data of Leo I than expected in pure random data.

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。

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