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arXiv · 1904.11448

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

Katarina Markovic·Benjamin Bose·Alkistis Pourtsidou
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Abstract

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, followed by an exploratory Fisher matrix analysis. As previously noted in other forecasts as well as in real data analyses, we find that including the hexadecapole can significantly improve the constraints. However, a restricted range of scales is required for the hexadecapole in order for the growth parameter estimation to remain unbiased, limiting the improvement. We consistently quantify these effects by employing the multipole expansion formalism in both our Fisher and MCMC forecasts.

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Katarina Markovic, Benjamin Bose, Alkistis Pourtsidou. 2019-04-25. Assessing non-linear models for galaxy clustering I: unbiased growth forecasts from multipole expansion. https://doi.org/10.21105/astro.1904.11448

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