Convolution Lagrangian Perturbation Theory for biased tracers beyond general relativity. (arXiv:1901.03763v1 [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>

We extend the Convolution Lagrangian Perturbation Theory (CLPT) resummation
formalism to analytically predict real and Fourier space two-point statistics
for biased tracers in f(R) Hu-Sawicki and the nDGP braneworld modified gravity
theories and compare the CLPT performance against predictions from Standard
Perturbation Theory (SPT) and Lagrangian Resummation Theory.

We show that the novel physics of gravitational collapse in scalar tensor
theories with the chameleon or the Vainshtein screening mechanism, including
sensitivity to the environment, can be effectively factored into CLPT with bias
parameters analytically predicted through the Peak-Background Split formalism.

Through comparison against state of the art N-body simulations we demonstrate
that CLPT and SPT approaches provide accurate analytic methods to predict the
correlation function and power spectra, respectively, for biased tracers in
modified gravity models and are able to characterize both the BAO, power-law
and small scale regimes needed for upcoming galaxy surveys such as DESI,
Euclid, LSST and WFIRST.

We extend the Convolution Lagrangian Perturbation Theory (CLPT) resummation
formalism to analytically predict real and Fourier space two-point statistics
for biased tracers in f(R) Hu-Sawicki and the nDGP braneworld modified gravity
theories and compare the CLPT performance against predictions from Standard
Perturbation Theory (SPT) and Lagrangian Resummation Theory.

We show that the novel physics of gravitational collapse in scalar tensor
theories with the chameleon or the Vainshtein screening mechanism, including
sensitivity to the environment, can be effectively factored into CLPT with bias
parameters analytically predicted through the Peak-Background Split formalism.

Through comparison against state of the art N-body simulations we demonstrate
that CLPT and SPT approaches provide accurate analytic methods to predict the
correlation function and power spectra, respectively, for biased tracers in
modified gravity models and are able to characterize both the BAO, power-law
and small scale regimes needed for upcoming galaxy surveys such as DESI,
Euclid, LSST and WFIRST.

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