Forecast of cross-correlation of CSST cosmic shear tomography with AliCPT-1 CMB lensing
Zhengyi Wang, Ji Yao, Xiangkun Liu, Dezi Liu, Zuhui Fan, Bin Hu

TL;DR
This study forecasts the cross-correlation between CSST cosmic shear tomography and AliCPT-1 CMB lensing, evaluating its potential for cosmological parameter constraints with different experimental stages.
Contribution
It provides a detailed forecast of the cross-correlation signal and its cosmological implications, incorporating realistic noise and systematic effects for upcoming surveys.
Findings
Total SNR of cross-correlation: ~15 (4 modules*yr) and ~22 (48 modules*yr)
Cross-correlation constrains sigma_8 and S_8 with errors around 0.03-0.04
Excluding intrinsic alignment increases sigma_8 by about 0.6sigma
Abstract
We present a forecast study on the cross-correlation between cosmic shear tomography from the Chinese Survey Space Telescope (CSST) and CMB lensing from Ali CMB Polarization Telescope (AliCPT-1) in Tibet. The correlated galaxy and CMB lensing signals were generated from Gaussian realizations based on inputted auto- and cross-spectra. To account for the error budget, we considered the CMB lensing reconstruction noise based on the AliCPT-1 lensing reconstruction pipeline; shape noise of the galaxy lensing measurement; CSST photo- error; photo- bias; intrinsic alignment effect, and multiplicative bias. The AliCPT-1 CMB lensing mock data were generated according to two experimental stages, namely the ``4 modules*yr'' and ``48 modules*yr'' cases. We estimate the cross-spectra in 4 tomographic bins according to the CSST photo- distribution in the range of . After…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research · Adaptive optics and wavefront sensing
