Cosmological constraints from the redshift dependence of the Alcock-Paczynski effect: Fourier space analysis
Xiaolin Luo, Ziyong Wu, Xiao-Dong Li, Miao Li, Zhigang Li, Cristiano, G. Sabiu

TL;DR
This paper explores the feasibility of using Fourier space analysis of the redshift evolution of the Alcock-Paczynski effect to constrain cosmological parameters, demonstrating its robustness and advantages over traditional methods.
Contribution
It introduces a Fourier domain approach for the tomographic AP method, showing its effectiveness and advantages in cosmological parameter estimation.
Findings
Redshift evolution of AP distortion exceeds RSD effects by a factor of 1.7-3.6.
The method performs well across the entire tested k-range (0.2-1.8 h/Mpc).
Halo bias changes have minimal impact (<5%) on the results.
Abstract
The tomographic Alcock-Paczynski (AP) method utilizes the redshift evolution of the AP distortion to place constraints on cosmological parameters. It has proved to be a robust method that can separate the AP signature from the redshift space distortion (RSD) effect, and deliver powerful cosmological constraints using the clustering region. In previous works, the tomographic AP method was performed via the anisotropic 2-point correlation function statistic. In this work we consider the feasibility of conducting the analysis in the Fourier domain and examine the pros and cons of this approach. We use the integrated galaxy power spectrum (PS) as a function of direction, , to quantify the magnitude of anisotropy in the large-scale structure clustering, and use its redshift variation to do the AP test. The method is tested on the large,…
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