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arXiv 2309.03341astro-ph.COastro-ph.GA
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基于扩展XQR-30数据集对$z > 5$莱曼-$α$森林通量自相关函数的测量

Measurements of the $z > 5$ Lyman-$α$ forest flux auto-correlation functions from the extended XQR-30 data set

Molly Wolfson, Joseph F. Hennawi, Sarah E. I. Bosman, Frederick B. Davies, Zarija Lukić, George D. Becker, Huanqing Chen, Guido Cupani, Valentina D'Odorico, Ann… 展开作者

Molly Wolfson, Joseph F. Hennawi, Sarah E. I. Bosman, Frederick B. Davies, Zarija Lukić, George D. Becker, Huanqing Chen, Guido Cupani, Valentina D'Odorico, Anna-Christina Eilers, Martin G. Haehnelt, Laura C. Keating, Girish Kulkarni, Samuel Lai, Andrei Mesinger, Fabian Walter, Yongda Zhu

AI总结:

本研究首次基于扩展XQR-30数据集测量了$5.1 \leq z \leq 6.0$红移区间的Ly$α$森林通量自相关函数,并引入相关软件工具,验证了观测数据与模拟模型在测量氢电离光子平均自由程$λ_{\text{mfp}}$上的一致性。

摘要:

最近,研究表明莱曼-$α$(Ly$α$)森林通量自相关函数对氢电离光子的平均自由程$λ_{\text{mfp}}$敏感,适用于$z \geq 5.4$的模拟。在这些红移处测量$λ_{\text{mfp}}$将为再电离的结束提供关键信息。在此,我们首次展示了在$5.1 \leq z \leq 6.0$的十个红移区间内Ly$α$森林通量自相关函数的观测测量结果。我们使用了来自扩展XQR-30数据集的35条$z > 5.7$类星体视线,该数据每个光谱像素的信噪比大于20。我们仔细考虑了连续谱重建、仪器误差以及阻尼Ly$α$系统污染的系统误差。基于这些测量,我们引入了软件工具,可从任何模拟中生成自相关函数测量结果。作为初步比较,我们将自相关测量结果与近期测量的$λ_{\text{mfp}}$值的模拟模型进行了对比,发现两者吻合良好。为了从该数据中获得$λ_{\text{mfp}}$的稳健测量结果,进一步在建模和理解数据协方差矩阵方面的工作是必要的。

英文摘要:

Recently, the Lyman-$α$ (Ly$α$) forest flux auto-correlation function has been shown to be sensitive to the mean free path of hydrogen-ionizing photons, $λ_{\text{mfp}}$, for simulations at $z \geq 5.4$. Measuring $λ_{\text{mfp}}$ at these redshifts will give vital information on the ending of reionization. Here we present the first observational measurements of the Ly$α$ forest flux auto-correlation functions in ten redshift bins from $5.1 \leq z \leq 6.0$. We use a sample of 35 quasar sightlines at $z > 5.7$ from the extended XQR-30 data set, this data has signal-to-noise ratios of $> 20$ per spectral pixel. We carefully account for systematic errors in continuum reconstruction, instrumentation, and contamination by damped Ly$α$ systems. With these measurements, we introduce software tools to generate auto-correlation function measurements from any simulation. For an initial comparison, we show our auto-correlation measurements with simulation models for recently measured $λ_{\text{mfp}}$ values and find good agreements. Further work in modeling and understanding the covariance matrices of the data is necessary to get robust measurements of $λ_{\text{mfp}}$ from this 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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