Forecasting the Constraint on the Hu-Sawicki $f(R)$ Modified Gravity in the CSST $3\times2$pt Photometric Survey

Jun-Hui Yan; Yan Gong; Qi Xiong; Xuelei Chen; Qi Guo; Ming Li; Yun Liu; Wenxiang Pei

Paper

Forecasting the Constraint on the Hu-Sawicki $f(R)$ Modified Gravity in the CSST $3\times2$pt Photometric Survey

Abstract

We forecast the constraint on the Hu-Sawicki

model from the photometric survey operated by the Chinese Space Station Survey Telescope (CSST). The simulated

pt data of galaxy clustering, weak lensing, and galaxy-galaxy lensing measurements within 100 deg

are used in the analysis. The mock observational maps are constructed from a light cone, redshift sampling and noise. The angular power spectra are measured with pseudo-

estimators and compared to theory in the same basis using validated weighting functions and an analytic covariance matrix that includes Gaussian, connected non-Gaussian, and super-sample terms. We model the theoretical spectra using two methods. The first one uses MGCAMB to compute the linear modified-gravity clustering power spectra, and the second one adopts the FREmu emulator with a baseline of nonlinear

CDM prescription. Parameter inference is performed with Cobaya, and the cosmological and modified-gravity parameters are sampled within the emulator training domain, which is jointly fitted with the systematic parameters. We find that the predictions from the two methods are in good agreement at the overlapping large scales, and the emulator method can correctly provide additional high-

information. The

upper bounds of

are found to be

for cosmic shear only case and

for the 100 deg

CSST

pt probe. The full CSST photometric survey with 17,500 deg

survey area is expected to further improve the constraint precision by about one order of magnitude. Our results demonstrate that the CSST

pt survey can deliver strict tests on

gravity.