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The Renormalization Group for Large-Scale Structure: Primordial non-Gaussianities
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abstract
The renormalization group for large-scale structure (RG-LSS) describes the evolution of galaxy bias and stochastic parameters as a function of the cutoff $\Lambda$. In this work, we introduce interaction vertices that describe primordial non-Gaussianity into the Wilson-Polchinski framework, thereby extending the free theory to the interacting case. The presence of these interactions forces us to include new operators and bias coefficients to the bias expansion to ensure closure under renormalization. We recover the previously-derived ``scale-dependent bias'' contributions, as well as a new (subdominant) stochastic contribution. We derive the renormalization group equations governing the RG-LSS for a large class of interactions which account for vertices at linear order in $f_{\rm NL}$ that parametrize interacting scalar and massive spinning fields during inflation. Solving the RG equations, we show the evolution of the non-Gaussian contributions to galaxy clustering as a function of scale.
Forward citations
Cited by 3 Pith papers
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Two-loop renormalization and running of galaxy bias
Galaxy bias renormalization is extended to two loops for the complete fifth-order operator basis, with a single universal function controlling double-hard limits and new two-loop renormalization group equations.
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Non-Gaussian Galaxy Stochasticity and the Noise-Field Formulation
Galaxy stochasticity in EFT of large-scale structure reduces to nonlinear couplings of one Gaussian noise field, yielding a samplable field-level likelihood that stabilizes the inferred noise amplitude.
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Renormalized Perturbation Theory at Field-level: the LSS bootstrap in GridSPT
A renormalized field-level perturbation theory is shown to recover the LSS bootstrap parameter consistently across different grid cutoffs, validated at third and fifth order against N-body simulations.
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