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arXiv · 2110.00016

Taming redshift-space distortion effects in the EFTofLSS and its application to data

Guido D'Amico·Leonardo Senatore·Pierre Zhang·Takahiro Nishimichi
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Abstract

Former analyses of the BOSS data using the Effective Field Theory of Large-Scale Structure (EFTofLSS) have measured that the largest counterterms are the redshift-space distortion ones. This allows us to adjust the power-counting rules of the theory, and to explicitly identify that the leading next-order terms have a specific dependence on the cosine of the angle between the line-of-sight and the wavenumber of the observable, $μ$. Such a specific $μ$-dependence allows us to construct a linear combination of the data multipoles, $\slashed{P}$, where these contributions are effectively projected out, so that EFTofLSS predictions for $\slashed{P}$ have a much smaller theoretical error and so a much higher $k$-reach. The remaining data are organized in wedges in $μ$ space, have a $μ$-dependent $k$-reach because they are not equally affected by the leading next-order contributions, and therefore can have a higher $k$-reach than the multipoles. Furthermore, by explicitly including the highest next-order terms, we define a `one-loop+' procedure, where the wedges have even higher $k$-reach. We study the effectiveness of these two procedures on several sets of simulations and on the BOSS data. The resulting analysis has identical computational cost as the multipole-based one, but leads to an improvement on the determination of some of the cosmological parameters that ranges from $10\%$ to $100\%$, depending on the survey properties.

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Guido D'Amico, Leonardo Senatore, Pierre Zhang, Takahiro Nishimichi. 2024-12-30. Taming redshift-space distortion effects in the EFTofLSS and its application to data. https://doi.org/10.1088/1475-7516%2F2024%2F01%2F037

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