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arXiv 2301.02540astro-ph.CO
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CSST光谱星系巡天与MeerKAT中性氢强度映射巡天的互相关预报

Cross-Correlation Forecast of CSST Spectroscopic Galaxy and MeerKAT Neutral Hydrogen Intensity Mapping Surveys

Yuer Jiang, Yan Gong, Meng Zhang, Qi Xiong, Xingchen Zhou, Furen Deng, Xuelei Chen, Yin-Zhe Ma, Bin Yue

AI总结:

本研究模拟了MeerKAT中性氢强度映射与CSST光谱星系巡天的互相关,通过PCA算法去前景并补偿信号损失,发现参数乘积约束精度可达约1%,全巡天后提升至<0.3%,为探测宇宙HI性质及演化提供有力工具。

摘要:

将中性氢(HI)21cm强度映射数据与星系巡天数据进行互相关是提取天体物理和宇宙学信息的有效方法。本研究探讨了MeerKAT单天线模式HI强度映射与中国空间站望远镜(CSST)光谱星系巡天的互相关。利用Multi-Dark N体模拟,模拟了MeerKAT和CSST在z=0.5处约300 deg^2的巡天区域。应用PCA算法去除HI强度映射的前景,并考虑信号补偿以解决前景去除过程导致的HI-星系交叉功率谱信号损失问题。研究发现,基于CSST星系自功率谱和MeerKAT-CSST交叉功率谱,参数乘积Ω_HI b_HI r_HI,g的约束精度可达约1%,比现有结果高约一个数量级。完成5000 deg^2全MeerKAT HI强度映射巡天后,精度可提升至<0.3%。这表明MeerKAT-CSST互相关是探测宇宙HI性质及星系与宇宙演化的有力工具。

英文摘要:

Cross-correlating the data of neutral hydrogen (HI) 21cm intensity mapping with galaxy surveys is an effective method to extract astrophysical and cosmological information. In this work, we investigate the cross-correlation of MeerKAT single-dish mode HI intensity mapping and China Space Station Telescope (CSST) spectroscopic galaxy surveys. We simulate a survey area of $\sim 300$ $\mathrm{deg}^2$ of MeerKAT and CSST surveys at $z=0.5$ using Multi-Dark N-body simulation. The PCA algorithm is applied to remove the foregrounds of HI intensity mapping, and signal compensation is considered to solve the signal loss problem in the HI-galaxy cross power spectrum caused by the foreground removal process. We find that from CSST galaxy auto and MeerKAT-CSST cross power spectra, the constraint accuracy of the parameter product $Ω_{\rm HI}b_{\rm HI}r_{{\rm HI},g}$ can reach to $\sim1\%$, which is about one order of magnitude higher than the current results. After performing the full MeerKAT HI intensity mapping survey with 5000 deg$^2$ survey area, the accuracy can be enhanced to $<0.3\%$. This implies that the MeerKAT-CSST cross-correlation can be a powerful tool to probe the cosmic HI property and the evolution of galaxies and the Universe.

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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