Validating the methodology for constraining the linear growth rate from clustering anisotropies
Jorge Enrique Garc\'ia-Farieta, Federico Marulli, Lauro Moscardini,, Alfonso Veropalumbo, Rigoberto A. Casas-Miranda

TL;DR
This study systematically validates methods for measuring the linear growth rate from galaxy clustering anisotropies using simulations, highlighting current model limitations and effects of redshift errors.
Contribution
It provides a comprehensive validation of existing RSD modeling techniques on mock data, identifying biases and the impact of redshift errors for future surveys.
Findings
Linear growth rate underestimated by 5-10% at z<1
Discrepancies reduced below 5% when analyzing scales >30 Mpc/h
Redshift errors can be marginalized without biasing results
Abstract
Redshift-space clustering distortions provide one of the most powerful probes to test the gravity theory on the largest cosmological scales. We perform a systematic validation study of the state-of-the-art statistical methods currently used to constrain the linear growth rate from redshift-space distortions in the galaxy two-point correlation function. The numerical pipelines are tested on mock halo catalogues extracted from large N-body simulations of the standard cosmological framework. We consider both the monopole and quadrupole multipole moments of the redshift-space two-point correlation function, as well as the radial and transverse clustering wedges, in the comoving scale range \Mpch. Moreover, we investigate the impact of redshift measurement errors on the growth rate and linear bias measurements due to the assumptions in the redshift-space distortion model.…
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