# Assessing non-linear models for galaxy clustering I: unbiased growth forecasts from multipole expansion

@article{Markovi2019AssessingNM, title={Assessing non-linear models for galaxy clustering I: unbiased growth forecasts from multipole expansion}, author={Katarina Markovi{\vc} and Benjamin Bose and Alkistis Pourtsidou}, journal={The Open Journal of Astrophysics}, year={2019} }

We assess the performance of the Taruya, Nishimichi and Saito (TNS) model for the halo redshift space power spectrum, focusing on utilising mildly non-linear scales to constrain the growth rate of structure f. Using simulations with volume and number density typical of forthcoming Stage IV galaxy surveys, we determine ranges of validity for the model at redshifts z = 0.5 and z = 1. We proceed to perform a Bayesian MCMC analysis utilising the monopole, quadrupole, and hexadecapole spectra…

## 13 Citations

### Assessing non-linear models for galaxy clustering – II. Model validation and forecasts for Stage IV surveys

- PhysicsMonthly Notices of the Royal Astronomical Society
- 2020

Accurate modelling of non-linear scales in galaxy clustering will be crucial for data analysis of Stage IV galaxy surveys. A selection of competing non-linear models must be made based on…

### Assessing non-linear models for galaxy clustering III: theoretical accuracy for stage IV surveys

- PhysicsJournal of Cosmology and Astroparticle Physics
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We present a method to implement relativistic corrections to the evolution of dark matter structures in Newtonian simulations of a ΛCDM universe via the initial conditions. We take the nonlinear…

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We compute the one-loop density power spectrum including Newtonian and relativistic contributions, as well as the primordial non-Gaussianity contributions from fNL and gNL in the local configuration.…

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