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, and Wenxiang Pei

TL;DR
This paper forecasts how well the CSST photometric survey can constrain the Hu-Sawicki $f(R)$ modified gravity model using simulated galaxy clustering, weak lensing, and galaxy-galaxy lensing data, showing promising potential for testing gravity theories.
Contribution
It introduces a comprehensive forecast method combining two modeling approaches to constrain $f(R)$ gravity with CSST data, including nonlinear effects and systematic parameters.
Findings
Upper bounds on $|f_{R0}|$ are around $10^{-5.4}$ from the 100 deg$^2$ survey.
Full 17,500 deg$^2$ survey could improve constraints by an order of magnitude.
The two modeling methods agree well at large scales, validating the approach.
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.…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Cosmology and Gravitation Theories · Astronomy and Astrophysical Research
