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arXiv 2202.02859astro-ph.GA
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高红移星系LyC逃逸分数估算的警示

A Cautionary Tale of LyC Escape Fraction Estimates from High Redshift Galaxies

R. Bassett, E. V. Ryan-Weber, J. Cooke, U. Mestric, L. J. Prichard, M. Rafelski, I. Iwata, M. Sawicki, S. Gwyn, S. Arnouts

摘要:

测量电离莱曼连续统(LyC)辐射的逃逸分数$f_{\rm esc}$是我们理解宇宙再电离过程的关键。在本文中,我们提供了一种方法来恢复后验概率分布的LyC逃逸分数,$f_{\rm esc}^{\rm PDF}$,考虑到观测的不确定性和合奏的模拟传输函数通过星系际介质(IGM)。我们提出了一个例子,这种方法适用于一个VUDS星系在$z=3.64$和发现$f_{\rm esc}^{\rm PDF}$ = 0.51 $^{+0.33}_{-0.34}$,并比较这一计算值假设平均IGM传输与不考虑沿平均视线产生$f_{\rm esc}^{\langle T \rangle}$的检测偏差= 1.40 $^{+0.80}_{-0.42}$,和$f_{\rm esc}^{\rm bias}$ = 0.82 $^{+0.33}_{-0.16}$。我们的研究结果突出了假设平均,平滑的传输函数的方法的局限性。我们还提出了MOSFIRE数据的一个样本的七个LyC候选人选择的基础上光度红移在$z > 3.4$,但发现所有七个高估了光度红移的$Δz \sim 0.2$使他们不适合LyC测量。这一结果可能是由于我们的选择标准引起的偏倚。

英文摘要:

Measuring the escape fraction, $f_{\rm esc}$, of ionizing, Lyman Continuum (LyC) radiation is key to our understanding of the process of cosmic reionization. In this paper we provide a methodology for recovering the posterior probability distribution of the LyC escape fraction, $f_{\rm esc}^{\rm PDF}$, considering both the observational uncertainties and ensembles of simulated transmission functions through the intergalactic medium (IGM). We present an example of this method applied to a VUDS galaxy at $z=3.64$ and find $f_{\rm esc}^{\rm PDF}$ = 0.51$^{+0.33}_{-0.34}$ and compare this to the values computed assuming averaged IGM transmission with and without consideration of detection bias along average sightlines yielding $f_{\rm esc}^{\langle T \rangle}$ = 1.40$^{+0.80}_{-0.42}$, and $f_{\rm esc}^{\rm bias}$ = 0.82$^{+0.33}_{-0.16}$. Our results highlight the limitations of methods assuming average, smooth transmission functions. We also present MOSFIRE data for a sample of seven LyC candidates selected based on photometric redshifts at $z > 3.4$, but find that all seven have overestimated photometric redshifts by $Δz \sim 0.2$ making them unsuitable for LyC measurements. This results likely due to a bias induced by our selection criteria.

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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