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arXiv 2301.04445astro-ph.COgr-qchep-ph
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利用MeerKAT进行HI强度映射:基于干涉仪模式的延迟功率谱测量预测

HI intensity mapping with MeerKAT: forecast for delay power spectrum measurement using interferometer mode

Ming Zhang, Yichao Li, Jing-Fei Zhang, Xin Zhang

AI总结:

本研究预测MeerKAT干涉仪模式下HI强度映射的延迟功率谱测量能力,分析观测时间、天区选择对功率谱误差的影响,发现其约束暗能量状态方程的能力有限。

摘要:

中性氢(HI)强度映射(IM)巡天被认为是研究宇宙膨胀历史的一种极具前景的工具。在本研究中,我们探究了MeerKAT干涉仪模式下的HI强度映射观测在估计功率谱、约束典型暗能量模型下宇宙学参数的潜力。我们采用了一种名为“延迟谱”的方法,该方法可在频域中将微弱的HI信号与前景污染分离开来。我们的研究结果表明,在10小时的有限观测时间内,巡天天区的选择会对功率谱的相对误差(ΔP/P)产生显著影响。随着积分时间从10小时增加到10000小时,ΔP/P会逐渐降低,直到宇宙方差开始占据主导地位。在总观测时间为10000小时的情况下,MeerKAT L波段(900-1200 MHz)通过跟踪100个天区点、MeerKAT UHF波段(580-1000 MHz)通过跟踪10个天区点,可在低k处实现最低的ΔP/P。接下来,我们评估了HI强度映射在约束典型暗能量模型方面的性能。我们发现,即使与Planck数据相结合,MeerKAT干涉仪模式的HI强度映射巡天在约束暗能量状态方程方面的能力也较为有限。

英文摘要:

Neutral hydrogen (HI) intensity mapping (IM) surveys are considered a promising tool for investigating the expansion history of the Universe. In this work, we explore the potential of MeerKAT HI IM observations in interferometer mode to estimate the power spectrum and constrain cosmological parameters within typical dark energy models. We employ an approach called the "delay spectrum," which allows us to separate the weak HI signal from foreground contamination in the frequency domain. Our findings indicate that the choice of survey fields significantly impacts the fractional errors on the power spectrum ($ΔP/P$) within a limited observational time of 10 hours. As the integration time increases from 10 hours to 10,000 hours, $ΔP/P$ progressively decreases until cosmic variance begins to dominate. For a total observation time of 10,000 hours, the lowest $ΔP/P$ at low $k$ can be achieved by tracking 100 points for MeerKAT L-band (900-1200 MHz) and 10 points for MeerKAT UHF-band (580-1000 MHz). Next, we assess the performance of HI IM in constraining typical dark energy models. We find that MeerKAT HI IM survey in interferometer mode demonstrates limited capability in constraining the dark-energy equation of state, even when combined with Planck 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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