论文标题

使用电离阵列的氢时代估算21cm-Ly $α$协同作用的可行性

Estimating the Feasibility of 21cm-Ly$α$ Synergies using the Hydrogen Epoch of Reionization Array

论文作者

Cox, Tyler A., Jacobs, Daniel C., Murray, Steven G.

论文摘要

互相关的21cm和Ly $α$强度图(EOR)有望成为探索第一个星系属性的强大工具。下一代强度映射实验,例如电离阵列(HERA)和Spherex的氢时代和Spherex将分别通过21cm和Ly $α$线的功率谱分别探测电源,但将受到明亮的前景和仪器系统的限制。互相关的这些测量可以减少系统学,并可能收紧推断天体物理参数的约束。在这项研究中,我们考虑了确切的紫外线采样和前景过滤的影响,以估算Heraxpherex的可行性,从而检测到21cm-Ly $α$跨功率谱。我们还投影了Hera和拟议的下一代宇宙黎明强度映射器之间的跨力谱的灵敏度。通过隔离不确定性来源,我们探讨了实验局限性的影响,例如前景滤波和$α$热噪声不确定性对检测交叉动力频谱的影响。然后,我们在模拟交叉动力频谱和观察误差的模拟中实现了此策略,以确定红移21cmfast模型预测最高的信噪检测($ z \ sim 8 $)。我们得出的结论是,检测SphereX-HERA互相关将需要21厘米前景过滤的乐观水平,以及由于缺乏重叠的敏感模式而引起的更深的热噪声整合,但对于CDIM的尺度范围较大,较低的噪声预测检测水平,即使有较大的噪声预测水平,也可以使用严格的21cm前景过滤。

Cross-correlating 21cm and Ly$α$ intensity maps of the Epoch of Reionization (EoR) promises to be a powerful tool for exploring the properties of the first galaxies. Next-generation intensity mapping experiments such as the Hydrogen Epoch of Reionization Array (HERA) and SPHEREx will individually probe reionization through the power spectra of the 21cm and Ly$α$ lines respectively, but will be limited by bright foregrounds and instrumental systematics. Cross-correlating these measurements could reduce systematics, potentially tightening constraints on the inferred astrophysical parameters. In this study, we present forecasts of cross-correlation taking into account the effects of exact uv-sampling and foreground filtering to estimate the feasibility of HERAxSPHEREx making a detection of the 21cm-Ly$α$ cross-power spectrum. We also project the sensitivity of a cross-power spectrum between HERA and the proposed next-generation Cosmic Dawn Intensity Mapper. By isolating the sources of uncertainty, we explore the impacts of experimental limitations such as foreground filtering and Ly$α$ thermal noise uncertainty have on making a detection of the cross-power spectrum. We then implement this strategy in a simulation of the cross-power spectrum and observational error to identify redshifts where fiducial 21cmFAST models predict the highest signal-to-noise detection ($z \sim 8$). We conclude that detection of the SPHEREx-HERA cross-correlation will require an optimistic level of 21cm foreground filtering, as well as deeper thermal noise integrations due to a lack of overlapping sensitive modes but for CDIM with its larger range of scales and lower noise forecast detection levels, may be possible even with stricter 21cm foreground filtering.

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