Cosmological Forecast of the Void Size Function Measurement from the CSST Spectroscopic Survey
arxiv(2024)
摘要
Void size function (VSF) contains the 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
galaxy samples based on an improved semi-analytical model, and then generate a
mock galaxy catalog of the CSST spectroscopic survey according to the detection
sensitivity. 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. To obtain a reliable and accurate
fitting result, we propose a void selection method based on the ellipticity,
for comparing to the theoretical model with a linear underdensity threshold of
void formation δ_ v assuming the spherical evolution. We assume
δ_ v 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 VSFs from the selected voids can be well fitted by the theoretical model,
and could accurately reserve the cosmological information. Based on our
estimation, the VSF measurement of the CSST spectroscopic survey can constrain
the cosmological parameters to a few percent level. The best-fit values of
δ_ v are ranging from ∼-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 a constant δ_ v≃-2.7 assuming the spherical
evolution. Our method can provide a good reference for void identification and
selection in the VSF analysis of the spectroscopic galaxy surveys.
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