Analytical Template for the 4-Point Correlation Function Covariance Beyond the Gaussian Random Field $\mathrm{II}$: 1-Loop Corrections with Third-Order Densities

Abstract

Analytical templates for the 4-Point Correlation Function (4PCF) covariance matrix have been developed in the past assuming a Gaussian Random Field (GRF). In this work, we present the second part of the beyond GRF calculation of the 4PCF covariance, incorporating 1-loop corrections stemming from the third-order density contrast. Furthermore, we introduce a non-trivial galaxy biasing scheme at third order. To simplify the calculation, we decompose the covariance into three distinct structures and leverage the isotropic basis of Cahn & Slepian (2023). This approach reduces the complexity of the high-dimensional integrals that would be naively involved, enabling the angular parts to be performed and leaving us with low-dimensional radial integrals. This analytical template could provide a more accurate characterization of the statistical errors on the 4PCF in future surveys, improving our ability to probe both its parity-even and parity-odd modes. This is the second and final paper in a two-part series.

41 pages, 10 figures

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