Cosmological Forecast of the Void Size Function Measurement from the CSST Spectroscopic Survey

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Main Authors: Song, Yingxiao, Xiong, Qi, Gong, Yan, Deng, Furen, Chan, Kwan Chuen, Chen, Xuelei, Guo, Qi, Han, Jiaxin, Li, Guoliang, Li, Ming, Liu, Yun, Luo, Yu, Pei, Wenxiang, Wei, Chengliang
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Published: 2024
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author Song, Yingxiao
Xiong, Qi
Gong, Yan
Deng, Furen
Chan, Kwan Chuen
Chen, Xuelei
Guo, Qi
Han, Jiaxin
Li, Guoliang
Li, Ming
Liu, Yun
Luo, Yu
Pei, Wenxiang
Wei, Chengliang
author_facet Song, Yingxiao
Xiong, Qi
Gong, Yan
Deng, Furen
Chan, Kwan Chuen
Chen, Xuelei
Guo, Qi
Han, Jiaxin
Li, Guoliang
Li, Ming
Liu, Yun
Luo, Yu
Pei, Wenxiang
Wei, Chengliang
contents Void size function (VSF) contains information of the cosmic large-scale structure (LSS), and can be used to derive the properties of dark energy and dark matter. We predict the VSFs measured from the spectroscopic galaxy survey operated by the China Space Station Telescope (CSST), and study the strength of cosmological constraint. We employ a high-resolution Jiutian simulation to get CSST galaxy mock samples based on an improved semi-analytical model. We identify voids from this galaxy catalog using the watershed algorithm without assuming a spherical shape, and estimate the VSFs at different redshift bins from $z=0.5$ to 1.1. We propose a void selection method based on the ellipticity, and assume the void linear underdensity threshold $δ_{\rm v}$ in the theoretical model is redshift-dependent and set it as a free parameter in each redshift bin. The Markov Chain Monte Carlo (MCMC) method is adopted to implement the constraints on the cosmological and void parameters. We find that the CSST VSF measurement can constrain the cosmological parameters to a few percent level. The best-fit values of $δ_{\rm v}$ are ranging from $\sim-0.4$ to $-0.1$ as the redshift increases from 0.5 to 1.1, which has a distinct difference from the theoretical calculation with $δ_{\rm v}\simeq-2.7$ assuming the spherical evolution and using particles as tracer. Our method can provide a good reference for void identification and selection in the VSF analysis of the spectroscopic galaxy surveys.
format Preprint
id arxiv_https___arxiv_org_abs_2402_05492
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Cosmological Forecast of the Void Size Function Measurement from the CSST Spectroscopic Survey
Song, Yingxiao
Xiong, Qi
Gong, Yan
Deng, Furen
Chan, Kwan Chuen
Chen, Xuelei
Guo, Qi
Han, Jiaxin
Li, Guoliang
Li, Ming
Liu, Yun
Luo, Yu
Pei, Wenxiang
Wei, Chengliang
Cosmology and Nongalactic Astrophysics
Void size function (VSF) contains information of the cosmic large-scale structure (LSS), and can be used to derive the properties of dark energy and dark matter. We predict the VSFs measured from the spectroscopic galaxy survey operated by the China Space Station Telescope (CSST), and study the strength of cosmological constraint. We employ a high-resolution Jiutian simulation to get CSST galaxy mock samples based on an improved semi-analytical model. We identify voids from this galaxy catalog using the watershed algorithm without assuming a spherical shape, and estimate the VSFs at different redshift bins from $z=0.5$ to 1.1. We propose a void selection method based on the ellipticity, and assume the void linear underdensity threshold $δ_{\rm v}$ in the theoretical model is redshift-dependent and set it as a free parameter in each redshift bin. The Markov Chain Monte Carlo (MCMC) method is adopted to implement the constraints on the cosmological and void parameters. We find that the CSST VSF measurement can constrain the cosmological parameters to a few percent level. The best-fit values of $δ_{\rm v}$ are ranging from $\sim-0.4$ to $-0.1$ as the redshift increases from 0.5 to 1.1, which has a distinct difference from the theoretical calculation with $δ_{\rm v}\simeq-2.7$ assuming the spherical evolution and using particles as tracer. Our method can provide a good reference for void identification and selection in the VSF analysis of the spectroscopic galaxy surveys.
title Cosmological Forecast of the Void Size Function Measurement from the CSST Spectroscopic Survey
topic Cosmology and Nongalactic Astrophysics
url https://arxiv.org/abs/2402.05492