Exploring Cosmological Constraints of the Void-Lensing Cross-Correlation in the CSST Photometric Survey
Qi Xiong, Yan Gong, Junhui Yan, Furen Deng, Hengjie Lin, Xingchen Zhou, Xuelei Chen, Qi Guo, Ming Li, Yun Liu, and Wenxiang Pei

TL;DR
This study demonstrates that void-lensing cross-correlation analysis in the CSST photometric survey can effectively constrain cosmological parameters, offering a valuable complement to traditional weak lensing methods especially at high redshift.
Contribution
The paper introduces a novel application of void-lensing cross-correlation in the CSST survey, modeling the cross-power spectrum with HVDM and employing MCMC for parameter constraints.
Findings
Void-lensing analysis yields constraints comparable or superior to weak lensing alone.
Method accurately extracts cosmological information from mock data.
Void-lensing serves as an effective and complementary cosmological probe.
Abstract
We investigate the cosmological constraints from the void-lensing cross-correlation assuming the CDM model for the Chinese Space Station Survey Telescope (CSST) photometric survey. Using Jiutian simulations, we construct a mock galaxy catalog to covering 100 deg, which incorporates the instrumental and observational effects of the CSST. We divide the galaxy sample into seven photometric-redshift (photo-) tomographic bins and identify 2D voids within each bin using the Voronoi tessellation and watershed algorithm. We measure the angular cross-power spectrum between the void distribution and the weak lensing signal, and estimate the covariance matrix via jackknife resampling combined with pseudo- approach to account for the partial sky correction. We employ the Halo Void Dust Model (HVDM) to model the void-matter cross-power spectrum and adopt the Markov Chain…
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