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

Authors :
Jiang, Yuer
Gong, Yan
Zhang, Meng
Xiong, Qi
Zhou, Xingchen
Deng, Furen
Chen, Xuelei
Ma, Yin-Zhe
Yue, Bin
Source :
RAA, 23, 075003 (2023)
Publication Year :
2023

Abstract

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 $\Omega_{\rm HI}b_{\rm HI}r_{{\rm HI},g}$ 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.<br />Comment: 18 pages, 11 figures, 3 tables. Accepted for publication in RAA, revised to match the published version

Details

Database :
arXiv
Journal :
RAA, 23, 075003 (2023)
Publication Type :
Report
Accession number :
edsarx.2301.02540
Document Type :
Working Paper
Full Text :
https://doi.org/10.1088/1674-4527/accdc0