Effective Theory of Large-Scale Structure with Primordial Non-Gaussianity
Valentin Assassi, Daniel Baumann, Enrico Pajer, Yvette Welling, Drian van der Woude
TL;DR
The paper develops an extension of the effective-field-theory approach to large-scale structure (EFT-of-LSS) to include primordial non-Gaussianity (PNG) by deriving new operators in the effective stress tensor that arise from the squeezed-limit of the primordial bispectrum. It provides a complete classification of PNG-induced contributions by angular spin and scaling, demonstrates that the EFT remains closed under renormalization with a full basis of counterterms and noise terms, and explicitly constructs the one-loop renormalization framework for the power spectrum and bispectrum in PNG scenarios. The authors implement a numerical analysis for local, equilateral, and quasi-single-field PNG shapes, separating Gaussian and non-Gaussian contributions and showing how PNG alters nonlinear corrections on mildly nonlinear scales. The work highlights how nonlinear gravitational evolution shapes and potentially obscures primordial signatures, and lays groundwork for extracting PNG information from large-scale structure surveys through a self-consistent, renormalized EFT formalism.
Abstract
We develop the effective theory of large-scale structure for non-Gaussian initial conditions. The effective stress tensor in the dark matter equations of motion contains new operators, which originate from the squeezed limit of the primordial bispectrum. Parameterizing the squeezed limit by a scaling and an angular dependence, captures large classes of primordial non-Gaussianity. Within this parameterization, we classify the possible contributions to the effective theory. We show explicitly how all terms consistent with the symmetries arise from coarse graining the dark matter equations of motion and its initial conditions. We also demonstrate that the system is closed under renormalization and that the basis of correction terms is therefore complete. The relevant corrections to the matter power spectrum and bispectrum are computed numerically and their relative importance is discussed.
