Cosmological constraints from the redshift dependence of the Alcock-Paczynski effect: Possibility of estimateing the non-linear systematics using fast simulations
Qinglin Ma, Yiqing Guo, Xiao-Dong Li, Xin Wang, Haitao Miao, Zhigang, Li, Cristiano G. Sabiu, Hyunbae Park

TL;DR
This paper investigates the potential to estimate non-linear systematics in the tomographic Alcock-Paczynski method using fast simulations, enhancing future large-scale structure survey analyses.
Contribution
It demonstrates that COLA simulations can reliably estimate systematics due to redshift evolution and halo bias in the AP method, facilitating its application to upcoming surveys.
Findings
Redshift evolution of RSD effects is about 5-10%.
COLA simulations' inaccuracy is much smaller than intrinsic systematics.
Halo bias causes less than 1.5% change in the systematic estimate.
Abstract
The tomographic AP method is so far the best method in separating the Alcock-Paczynski (AP) signal from the redshift space distortion (RSD) effects and deriving powerful constraints on cosmological parameters using the clustering region. To guarantee that the method can be easily applied to the future large scale structure (LSS) surveys, we study the possibility of estimating the systematics of the method using fast simulation method. The major contribution of the systematics comes from the non-zero redshift evolution of the RSD effects, which is quantified by in our analysis, and estimated using the BigMultidark exact N-body simulation and approximate COLA simulation samples. We find about 5\%/10\% evolution when comparing the measured as / to the measurements at . We checked the…
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