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arXiv 1012.2385astro-ph.CO
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用马尔可夫链蒙特卡罗法绘制氦丰度测定中的系统误差

Mapping systematic errors in helium abundance determinations using Markov Chain Monte Carlo

Erik Aver, Keith A. Olive, Evan D. Skillman

摘要:

用蒙特卡罗方法对河外H~II区氦丰度的统计和系统不确定性进行了评估。氦丰度对与H~II区有关的几个物理参数很敏感。在这项工作中,我们引入马尔可夫链蒙特卡罗(MCMC)方法,有效地探索参数空间,并确定氦丰度,物理参数,和来自贫金属星云观测的不确定性。合成数据的实验表明,MCMC方法优于以前的实现(基于通量扰动),因为它不受非物理参数空间的偏差。MCMC分析允许详细探索简并,特别是,在He~I发射线的光学深度的大值处发生的假最小值。我们证明,引入电子温度来自[O~III]发射线作为先验,在一个非常保守的方式,产生可忽略不计的偏差,并有效地消除了假极小值发生在大的光学深度。我们对来自几个“高质量”系统的数据进行频率论分析。似然图说明了简并性、不对称性和测定限度。与以前的工作一致,我们发现相对较大的系统误差,限制了目前可用的光谱原始氦丰度的精度。

英文摘要:

Monte Carlo techniques have been used to evaluate the statistical and systematic uncertainties in the helium abundances derived from extragalactic H~II regions. The helium abundance is sensitive to several physical parameters associated with the H~II region. In this work, we introduce Markov Chain Monte Carlo (MCMC) methods to efficiently explore the parameter space and determine the helium abundance, the physical parameters, and the uncertainties derived from observations of metal poor nebulae. Experiments with synthetic data show that the MCMC method is superior to previous implementations (based on flux perturbation) in that it is not affected by biases due to non-physical parameter space. The MCMC analysis allows a detailed exploration of degeneracies, and, in particular, a false minimum that occurs at large values of optical depth in the He~I emission lines. We demonstrate that introducing the electron temperature derived from the [O~III] emission lines as a prior, in a very conservative manner, produces negligible bias and effectively eliminates the false minima occurring at large optical depth. We perform a frequentist analysis on data from several "high quality" systems. Likelihood plots illustrate degeneracies, asymmetries, and limits of the determination. In agreement with previous work, we find relatively large systematic errors, limiting the precision of the primordial helium abundance for currently available spectra.

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