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… 

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