Speaker
Description
The accurate modeling of small-scale clustering, specifically the 1-halo term, is crucial for precise redshift-space distortion (RSD) analyses. An interesting solution to this challenge is to reconstruct the halo clustering, which helps mitigate the systematic effects caused by the inclusion of satellite galaxies in clustering analyses. In this work, we explore the cylinder-grouping (CG) method, introduced by Okumura et al. (2017), which allows for systematic corrections more efficiently than previous methods, especially in high-density galaxy samples.
In this study, we apply halo reconstruction to galaxy mocks based on N-body simulations and estimate cosmological parameters using the Effective Field Theory (EFT) framework. Our results show that the systematic corrections associated with the CG method are effectively handled within the EFT framework. Compared to the case without reconstruction, we find that parameter estimation remains stable at higher values of the maximum wavenumber and exhibits smaller errors, demonstrating the potential of halo reconstruction for more accurate cosmological parameter inference. We also discuss the relationship between these systematic corrections and EFT counterterms and stochastic terms, including how appropriate priors for these terms can improve cosmological parameter inference.
