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, and Bin Yue

TL;DR
This study demonstrates that cross-correlating MeerKAT HI intensity mapping with CSST galaxy surveys significantly improves constraints on cosmic HI properties and galaxy evolution, surpassing current measurement precision.
Contribution
The paper introduces a simulation-based analysis of MeerKAT-CSST cross-correlation, showing enhanced parameter constraints and addressing foreground removal challenges in HI intensity mapping.
Findings
Constraint accuracy of $ ightarrow ext{~1 ext{ extperthousand}}$ for $ m \Omega_{HI}b_{HI}r_{HI,g}$ with 300 deg$^2$ survey.
Accuracy improves to $<0.3 ext{ extperthousand}$ with a 5000 deg$^2$ survey area.
Cross-correlation effectively probes cosmic HI and galaxy evolution.
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 of MeerKAT and CSST surveys at 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 can reach to ,…
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Taxonomy
TopicsAstronomical Observations and Instrumentation · Geophysics and Gravity Measurements · Gamma-ray bursts and supernovae
