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arXiv 2303.04098astro-ph.SRastro-ph.GAastro-ph.IM
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验证多分辨率光谱的恒星丰度测量结果

Validating Stellar Abundance Measurements from Multi-Resolution Spectroscopy

Nathan R. Sandford, Daniel R. Weisz, Yuan-Sen Ting

AI总结:

本研究提出一种结合光谱与测光拟合的恒星丰度测量框架,评估不同分辨率和信噪比下的测量精度,验证低分辨率光谱的丰度测量潜力,并证明Cramér-Rao界可快速可靠估计不确定度。

摘要:

大规模巡天将为银河系和本星系群中约5000万颗已分辨恒星提供光谱数据。然而,这些数据具有高度异质性,且大多为低分辨率(R<10000),给测量一致且可靠的恒星参数标签带来了挑战。本文提出了一个用于识别并解决这些问题的框架。通过使用Payne(一种恒星光谱拟合工具)同时拟合全光谱与Gaia(盖亚卫星)测光数据,我们测量了M15星团中8颗红巨星的约40种元素丰度。我们从降质的Keck/HIRES光谱出发,评估了丰度随分辨率和信噪比(S/N)的变化趋势,发现:(i)在10000≲R≲80000的分辨率范围内,约20种元素的丰度可被一致恢复,吻合度≲0.1 dex,系统不确定度为≲0.05-0.15 dex;(ii)对于9种元素(C、Mg、Ca、Sc、Ti、Fe、Ni、Y、Nd),这种系统精度与准度可延伸至R~2500的低分辨率;(iii)尽管大多数元素未表现出强的信噪比依赖系统性,但在信噪比~10 像素^-1以下时,4种元素(C、Mg、Ca和Dy)存在不可忽略的偏差。我们将MCMC采样得到的统计不确定度与更易计算的Cramér-Rao界进行比较,发现约75%的元素二者结果一致,表明后者是一种可靠且更快速的不确定度估计方法。本分析展现了低分辨率光谱在恒星化学丰度研究中的巨大潜力,而恒星模型的持续改进(例如3D-NLTE物理)将进一步提升其适用性,覆盖更多元素并实现更高的精度与准度。

英文摘要:

Large-scale surveys will provide spectroscopy for $\sim$50 million resolved stars in the Milky Way and Local Group. However, these data will have a high degree of heterogeneity and most will be low-resolution ($R<10000$), posing challenges to measuring consistent and reliable stellar labels. Here, we introduce a framework for identifying and remedying these issues. By simultaneously fitting the full spectrum and Gaia photometry with the Payne, we measure $\sim$40 abundances for 8 red giants in M15. From degraded quality Keck/HIRES spectra, we evaluate trends with resolution and S/N and find that (i) $\sim$20 abundances are recovered consistently within $\lesssim$0.1 dex agreement and with $\lesssim$0.05-0.15~dex systematic uncertainties from $10000\lesssim R\lesssim80000$; (ii) for 9 elements (C, Mg, Ca, Sc, Ti, Fe, Ni, Y, Nd), this systematic precision and accuracy extends down to $R\sim2500$; and (iii) while most elements do not exhibit strong S/N-dependent systematics, there are non-negligible biases for 4 elements (C, Mg, Ca, and Dy) below $\text{S/N}\sim10$ pixel$^{-1}$. We compare statistical uncertainties from MCMC sampling to the easier-to-compute Cramér-Rao bounds and find that they agree for $\sim$75% of elements, indicating the latter to be a reliable and faster way to estimate uncertainties. Our analysis illustrates the great promise of low-resolution spectroscopy for stellar chemical abundance work, and ongoing improvements to stellar models (e.g., 3D-NLTE physics) will only further extend its viability to more elements and to higher precision and accuracy.

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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