Handbook of Quantum Gravity 2023
DOI: 10.1007/978-981-19-3079-9_5-1
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Effective Field Theory for Large-Scale Structure

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Cited by 5 publications
(2 citation statements)
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“…On the solar system's scales, it dominates the dynamics of weather patterns [14], yet the evolution of the cosmic vorticity has no known source within the ΛCDM model of the universe. Within the general relativistic N-body simulation, the vorticity power spectrum was recently estimated and it was found that it dominates over the power spectrum of the divergence of the peculiar velocity field of the matter field on scales where the effective field theory of large-scale structure breaks down [15,16]. In this N-body simulation, the vector and tensor perturbations were turned off.…”
Section: Introductionmentioning
confidence: 93%
“…On the solar system's scales, it dominates the dynamics of weather patterns [14], yet the evolution of the cosmic vorticity has no known source within the ΛCDM model of the universe. Within the general relativistic N-body simulation, the vorticity power spectrum was recently estimated and it was found that it dominates over the power spectrum of the divergence of the peculiar velocity field of the matter field on scales where the effective field theory of large-scale structure breaks down [15,16]. In this N-body simulation, the vector and tensor perturbations were turned off.…”
Section: Introductionmentioning
confidence: 93%
“…This follows the analyses in [36,108] restricted to the power spectrum multipoles. We model the nonlinear galaxy power spectrum in redshift space as implemented in CLASS-PT [111] (based on CLASS [112]) which follows the analyses of [113,114] based on the effective field theory of large-scale structure (EFTofLSS) [115][116][117][118] (see [17,119] for recent reviews) and galaxy bias expansion [52], including the Alcock-Paczynski effect. We additionally include the non-Gaussian contributions from the scale-dependent bias (2.21) due to f ∆ NL ̸ = 0 similar to the analyses in [36,108].…”
Section: Boss Dr12 Analysismentioning
confidence: 99%