An accurate perturbative approach to redshift space clustering of biased tracers in modified gravity. (arXiv:1909.05261v1 [astro-ph.CO])

An accurate perturbative approach to redshift space clustering of biased tracers in modified gravity. (arXiv:1909.05261v1 [astro-ph.CO])
<a href="http://arxiv.org/find/astro-ph/1/au:+Valogiannis_G/0/1/0/all/0/1">Georgios Valogiannis</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Bean_R/0/1/0/all/0/1">Rachel Bean</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Aviles_A/0/1/0/all/0/1">Alejandro Aviles</a>

We extend the scale-dependent Gaussian Streaming Model (GSM) to produce
analytical predictions for the anisotropic redshift-space correlation function
for biased tracers in modified gravity models.

Employing the Convolution Lagrangian Perturbation Theory (CLPT) re-summation
scheme, with a local Lagrangian bias schema provided by the peak-background
split formalism, we predict the necessary ingredients that enter the GSM, the
real-space halo pairwise velocity and the pairwise velocity dispersion. We
apply our method on two widely-considered modified gravity models, the
chameleon-screened f(R) Hu-Sawicki model and the nDGP Vainshtein model and
compare our predictions against state-of-the-art N-body simulations for these
models.

We demonstrate that the GSM approach to predict the monopole and the
quadrupole of the redshift-space correlation function for halos, gives very
good agreement with the simulation data, for a wide range of screening
mechanisms, levels of screening and halo masses at z=0.5 and z=1. Our work
shows the applicability of the GSM, for cosmologies beyond GR, demonstrating
that it can serve as a powerful predictive tool for the next stage of
cosmological surveys like DESI, Euclid, LSST and WFIRST.

We extend the scale-dependent Gaussian Streaming Model (GSM) to produce
analytical predictions for the anisotropic redshift-space correlation function
for biased tracers in modified gravity models.

Employing the Convolution Lagrangian Perturbation Theory (CLPT) re-summation
scheme, with a local Lagrangian bias schema provided by the peak-background
split formalism, we predict the necessary ingredients that enter the GSM, the
real-space halo pairwise velocity and the pairwise velocity dispersion. We
apply our method on two widely-considered modified gravity models, the
chameleon-screened f(R) Hu-Sawicki model and the nDGP Vainshtein model and
compare our predictions against state-of-the-art N-body simulations for these
models.

We demonstrate that the GSM approach to predict the monopole and the
quadrupole of the redshift-space correlation function for halos, gives very
good agreement with the simulation data, for a wide range of screening
mechanisms, levels of screening and halo masses at z=0.5 and z=1. Our work
shows the applicability of the GSM, for cosmologies beyond GR, demonstrating
that it can serve as a powerful predictive tool for the next stage of
cosmological surveys like DESI, Euclid, LSST and WFIRST.

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