On cosmological scales, observations of the cluster abundance currently place the strongest constraints on f(R) gravity. These constraints lie in the large-field limit, where the modifications of general relativity can correctly be modeled by setting the Compton wavelength of the scalar field to its background value. These bounds are, however, at the verge of penetrating into a regime where the modifications become nonlinearly suppressed due to the chameleon mechanism and cannot be described by this linearized approximation. For future constraints based on observations subjected to cluster abundance, it is therefore essential to consistently model the chameleon effect. We analyze descriptions of the halo mass function in chameleon f(R) grav...
We present two-point correlation function statistics of the mass and the haloes in the chameleon f(R...
As one of the most powerful probes of cosmological structure formation, the abundance of massive gal...
We present a Markov chain Monte Carlo pipeline that can be used for robust and unbiased constraints ...
We refine the mass and environment dependent spherical collapse model of chameleon f(R) gravity by c...
We analyse modelling techniques for the large-scale structure formed in scalar-tensor theories of co...
We present a novel fitting formula for the halo concentration enhancement in chameleon f(R) gravity ...
Current constraints on f(R) gravity from the large-scale structure are at the verge of penetrating i...
Abstract. We analyse modelling techniques for the large-scale structure formed in scalar-tensor theo...
We perform high-resolution N-body simulations for f(R) gravity based on a self-adaptive particle-mes...
Chameleon gravity is an example of a model that gives rise to interesting phenomenology on cosmologi...
Chameleon gravity is an example of a model that gives rise to interesting phenomenology on cosmologi...
We propose a new framework for testing gravity using cluster observations, which aims to provide an ...
Modified theories of gravity provide us with a unique opportunity to generate innovative tests of gr...
We analyse the two-point and marked correlation functions (mCFs) of haloes and galaxies in three var...
In this paper, we study the distribution of dark matter haloes and voids using high‐resolution simul...
We present two-point correlation function statistics of the mass and the haloes in the chameleon f(R...
As one of the most powerful probes of cosmological structure formation, the abundance of massive gal...
We present a Markov chain Monte Carlo pipeline that can be used for robust and unbiased constraints ...
We refine the mass and environment dependent spherical collapse model of chameleon f(R) gravity by c...
We analyse modelling techniques for the large-scale structure formed in scalar-tensor theories of co...
We present a novel fitting formula for the halo concentration enhancement in chameleon f(R) gravity ...
Current constraints on f(R) gravity from the large-scale structure are at the verge of penetrating i...
Abstract. We analyse modelling techniques for the large-scale structure formed in scalar-tensor theo...
We perform high-resolution N-body simulations for f(R) gravity based on a self-adaptive particle-mes...
Chameleon gravity is an example of a model that gives rise to interesting phenomenology on cosmologi...
Chameleon gravity is an example of a model that gives rise to interesting phenomenology on cosmologi...
We propose a new framework for testing gravity using cluster observations, which aims to provide an ...
Modified theories of gravity provide us with a unique opportunity to generate innovative tests of gr...
We analyse the two-point and marked correlation functions (mCFs) of haloes and galaxies in three var...
In this paper, we study the distribution of dark matter haloes and voids using high‐resolution simul...
We present two-point correlation function statistics of the mass and the haloes in the chameleon f(R...
As one of the most powerful probes of cosmological structure formation, the abundance of massive gal...
We present a Markov chain Monte Carlo pipeline that can be used for robust and unbiased constraints ...