The imprint of $f(R)$ gravity on weak gravitational lensing II : Information content in cosmic shear statistics
Masato Shirasaki, Takahiro Nishimichi, Baojiu Li (ICC, Durham), Yuichi, Higuchi

TL;DR
This paper explores how combining various cosmic shear statistics, including peak counts and Minkowski functionals, enhances the ability to detect modifications to gravity, specifically in $f(R)$ models, beyond what the power spectrum alone can achieve.
Contribution
It demonstrates that multiple non-Gaussian shear statistics can break parameter degeneracies and improve constraints on $f(R)$ gravity models in future surveys.
Findings
Peak counts and Minkowski functionals can detect $|f_{R0}|$ as small as 10^{-6}.
Combining multiple shear statistics improves constraints over the power spectrum alone.
All three additional statistics provide complementary information for modified gravity detection.
Abstract
We investigate the information content of various cosmic shear statistics on the theory of gravity. Focusing on the Hu-Sawicki-type model, we perform a set of ray-tracing simulations and measure the convergence bispectrum, peak counts and Minkowski functionals. We first show that while the convergence power spectrum does have sensitivity to the current value of extra scalar degree of freedom , it is largely compensated by a change in the present density amplitude parameter and the matter density parameter . With accurate covariance matrices obtained from 1000 lensing simulations, we then examine the constraining power of the three additional statistics. We find that these probes are indeed helpful to break the parameter degeneracy, which can not be resolved from the power spectrum alone. We show that especially the peak counts and…
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