Quantifying the Tension between Cosmological Models and JWST Red Candidate Massive Galaxies  

作　　者：Jun-Chao Wang Zhi-Qi Huang Lu Huang Jianqi Liu 

机构地区：[1]School of Physics and Astronomy,Sun Yat-sen University,Zhuhai 519082,China [2]CSST Science Center for the Guangdong-Hong Kong-Macao Greater Bay Area,Zhuhai519082,China [3]CAS Key Laboratory of Theoretical Physics,Institute of Theoretical Physics,Chinese Academy of Sciences,Beijing 100190,China

出　　处：《Research in Astronomy and Astrophysics》2024年第4期1-6,共6页天文和天体物理学研究（英文版）

基　　金：supported by the National Key R&D Program of China(grant No.2020YFC2201600);the National Natural Science Foundation of China(NSFC,grant No.12073088);the National SKA Program of China(grant No.2020SKA0110402)。

摘　　要：We develop a Python tool to estimate the tail distribution of the number of dark matter halos beyond a mass threshold and in a given volume in a light-cone.The code is based on the extended Press-Schechter model and is computationally efficient,typically taking a few seconds on a personal laptop for a given set of cosmological parameters.The high efficiency of the code allows a quick estimation of the tension between cosmological models and the red candidate massive galaxies released by the James Webb Space Telescope,as well as scanning the theory space with the Markov Chain Monte Carlo method.As an example application,we use the tool to study the cosmological implication of the candidate galaxies presented in Labbéet al.The standard Λcold dark matter(ΛCDM)model is well consistent with the data if the star formation efficiency can reach~0.3 at high redshift.For a low star formation efficiency ε~0.1,theΛCDM model is disfavored at~2σ-3σconfidence level.

关 键 词：(cosmology:)cosmological parameters Galaxy:abundances Galaxy:formation 

分 类 号：P15[天文地球—天文学]