Perturbation theory challenge for cosmological parameters estimation: Matter power spectrum in real space
Year: 2019
Type: article
Abstract: We study the accuracy with which cosmological parameters can be determined from a real space power spectrum of matter density contrast at weakly nonlinear scales using analytical approaches. From power spectra measured in $N$-body simulations and using the Markov chain Monte Carlo technique, the best-fitting cosmological input parameters are determined with several analytical methods as a theoretical template, such as the standard perturbation theory, the regularized perturbation theory, and the effective field theory. We show that at redshift 1, all two-loop level calculations can fit the measured power spectrum down to scales $k\ensuremath{\sim}0.2\text{ }h\text{ }\text{ }{\mathrm{Mpc}}^{\ensuremath{-}1}$, and cosmological parameters are successfully estimated in an unbiased way. Introducing the figure of bias (FoB) and figure of merit (FoM) parameter, we determine the validity range of those models and then evaluate their relative performances. With one free parameter, namely the damping scale, the regularized perturbation theory is found to be able to provide the largest FoM parameter while keeping the FoB in the acceptance range.
Institutions: Centre National de la Recherche Scientifique, Institut d'Astrophysique de Paris, Sorbonne Université, The University of Tokyo, Kavli Institute for the Physics and Mathematics of the Universe, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, Université Paris-Saclay, Institut de Physique Théorique, Kyoto University, Yukawa Institute for Theoretical Physics
Language: English
Subfield: Astronomy and Astrophysics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: green
Awards: G112659553, G1198592570, 広域撮像探査観測のビッグデータ分析による統計計算宇宙物理学, G2521286739, G2617269205, G3243641794, Development and application of data analysis method for precision cosmology based on two- and three-point statistics of large-scale structure of the Universe, Cosmology with large-scale galaxy formation simulations, Theoretical foundation of large-scale structure formation for numerical statistical cosmology, G5741291435, G6718509927
OpenAlex ID: W2896802579
