Chasing Unbiased Spectra of the Universe
Yong-Seon Song, Takahiro Nishimichi, Atsushi Taruya, Issha Kayo

TL;DR
This paper introduces an improved statistical method to accurately measure the cosmological power spectrum from redshift space distortions, demonstrating high precision on simulated data relevant for upcoming large-scale surveys.
Contribution
The paper presents a novel statistical analysis linking an improved theoretical model of redshift space distortions to observational data, enabling precise measurement of the velocity power spectrum.
Findings
Accurately extracts velocity power spectrum up to k~0.1 h/Mpc at z=0.35
Achieves precision within a couple of percent on simulated data
Validates the method's robustness for future cosmological surveys
Abstract
The cosmological power spectrum of the coherent matter flow is measured exploiting an improved prescription for the apparent anisotropic clustering pattern in redshift space. New statistical analysis is presented to provide an optimal observational platform to link the improved redshift distortion theoretical model to future real datasets. The statistical power as well as robustness of our method are tested against 60 realizations of 8 Gpc/h^3 dark matter simulation maps mocking the precision level of upcoming wide--deep surveys. We showed that we can accurately extract the velocity power spectrum up to quasi linear scales of k~0.1 h/Mpc at z = 0.35 and up to k~0.15 h/Mpc at higher redshifts within a couple of percentage precision level. Our understanding of redshift space distortion is proved to be appropriate for precision cosmology, and our statistical method will guide us to…
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