Constraining modified gravity with weak lensing peaks
arxiv(2024)
摘要
It is well established that maximizing the information extracted from
upcoming and ongoing stage-IV weak-lensing surveys requires higher-order
summary statistics that complement the standard two-point statistics. In this
work, we focus on weak-lensing peak statistics to test two popular modified
gravity models, f(R) and nDGP, using the FORGE and BRIDGE weak-lensing
simulations, respectively. From these simulations we measure the peak
statistics as a function of both cosmological and modified gravity parameters
simultaneously. Our findings indicate that the peak abundance is sensitive to
the strength of modified gravity, while the peak two-point correlation function
is sensitive to the nature of the screening mechanism in a modified gravity
model. We combine these simulated statistics with a Gaussian Process Regression
emulator and a Gaussian likelihood to generate stage-IV forecast posterior
distributions for the modified gravity models. We demonstrate that, in a
systematics-free case, peak statistics can constrain log_10(f_R0) = -6
to 2
find that our weakest models, log_10(f_R0) < 6.17 and log_10(H_0
r_c) > 1, can be ruled out at the two sigma level with an area of 300
deg^2 and 1000 deg^2, respectively, with the upcoming stage-IV
data.
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