A Halo Model Approach to the 21 cm and Lyα Cross-correlation
A Halo Model Approach to the 21 cm and Lyα Cross-correlation
复制标题
21 cm 和 Lyα 互相关的 Halo 模型方法
DOI：
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复制
发表时间：
2017
期刊：
影响因子：
--
通讯作者：
B. Keating
中科院分区：
文献类型：
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作者：
C. Feng;A. Cooray;B. Keating
我们提出了一种基于晕模型的方法来计算再电离(EOR)时期H I强度涨落与发射体(LAE)之间的互相关。暗物质晕周围的电离辐射被模拟为气泡，气泡的大小和增长取决于再电离光子的产生，以及其他物理参数。相互关联显示了一个明显的从负到正的转变，与EOR过程中星际介质中的电离氢到中性氢的转变有关。互相关受到几种前景污染物的影响，包括对实验重要的前景无线电点源和用于实验的低z入射辐射线，如O III和O II。我们的计算表明，通过屏蔽测量中的高通量，可以显著降低相关前景对互相关的污染。我们预测了不同红移下互相关的可检测性，并采用Fisher矩阵方法估计了关键的EOR参数的不确定性，这些参数没有受到其他再电离观测的很好的约束。这种基于光晕模型的方法使我们能够快速地探索不同AND实验的EOR参数空间。
We present a halo-model-based approach to calculate the cross-correlation between H i intensity fluctuations and emitters (LAE) during the epoch of reionization (EoR). Ionizing radiation around dark matter halos are modeled as bubbles with the size and growth determined based on the reionization photon production, among other physical parameters. The cross-correlation shows a clear negative-to-positive transition, associated with transition from ionized to neutral hydrogen in the intergalactic medium during EoR. The cross-correlation is subject to several foreground contaminants, including foreground radio point sources important for experiments and low-z interloper emission lines, such as , O iii, and O ii, for experiments. Our calculations show that by masking out high fluxes in the measurement, the correlated foreground contamination on the – cross-correlation can be dramatically reduced. We forecast the detectability of – cross-correlation at different redshifts and adopt a Fisher matrix approach to estimate uncertainties on the key EoR parameters that have not been well constrained by other observations of reionization. This halo-model-based approach enables us to explore the EoR parameter space rapidly for different and experiments.
影响因子：
4.8
作者：
D. Alonso;P. Ferreira;Mário G. Santos
通讯作者：
D. Alonso;P. Ferreira;Mário G. Santos
影响因子：
8.7
作者：
Komatsu, E.;Smith, K. M.;Wright, E. L.
通讯作者：
Wright, E. L.
DOI：
10.1088/1538-3873/129/974/045001
发表时间：
2017-04-01
影响因子：
3.5
作者：
DeBoer, David R.;Parsons, Aaron R.;Zheng, Haoxuan
通讯作者：
Zheng, Haoxuan