Forecasting Constraint on the f(R)Theory with the CSST SN Ⅰa and BAO Surveys

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外文摘要：The f(R)modified gravity theory can explain the accelerating expansion of the late Universe without introducing dark energy.In this study,we predict the constraint strength on the f(R)theory using the mock data generated from the Chinese Space Station Telescope(CSST)Ultra-Deep Field Type Ⅰa supernova(SN Ⅰa)survey and wide-field slitless spectroscopic baryon acoustic oscillation(BAO)survey.We explore three popular f(R)models and introduce a parameter b to characterize the deviation of the f(R)theory from the ACDM theory.The Markov Chain Monte Carlo method is employed to constrain the parameters in the f(R)models,and the nuisance parameters and systematic uncertainties are also considered in the model fitting process.Besides,we also perform model comparisons between the f(R)models and the ACDM model.We find that the constraint accuracy using the CSST SN Ⅰa+BAO data set alone is comparable to or even better than the result given by the combination of the current relevant observations,and the CSST SN Ⅰa+BAO survey can distinguish the f(R)models from the ACDM model.This indicates that the CSST SN Ⅰa and BAO surveys can effectively constrain and test the f(R)theory.

外文关键词：

(cosmology:)cosmological parameterscosmology:theory(cosmology:)dark energy

作者：

Jun-Hui Yan、Yan Gong、Minglin Wang、Haitao Miao、Xuelei Chen

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作者单位：

National Astronomical Observatories,Chinese Academy of Sciences,Beijing 100101,China

University of Chinese Academy of Sciences,Beijing 100049,China

Science Center for China Space Station Telescope,National Astronomical Observatories,Chinese Academy of Sciences,Beijing 100101,China

Department of Physics,College of Sciences,Northeastern University,Shenyang 11081S9,China

Centre for High Energy Physics,o,Peking University,Beijing 100871,China

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出版年：

2024

DOI：

10.1088/1674-4527/ad86a7

天文和天体物理学研究

中国科学院国家天文台

天文和天体物理学研究

CSTPCD

影响因子：0.406

ISSN：1674-4527

年,卷(期)：2024.24(11)