Modelling the next-to-leading order matter three-point correlation function using FFTLog
M.Guidi, A. Veropalumbo, E. Branchini, A. Eggemeier, C. Carbone

TL;DR
This paper develops a new configuration space model for the matter three-point correlation function at next-to-leading order using FFTLog, improving accuracy over previous models and aiding analysis of large-scale structure data.
Contribution
It introduces a novel method to model the 3PCF at higher perturbative order in configuration space using FFTLog, calibrated with existing models and tested against simulations.
Findings
Next-to-leading order 3PCF models outperform leading order models.
Significant improvement in matching configurations at different redshifts.
Enhanced modeling of BAO scale in nonlinear regimes.
Abstract
The study of higher-order statistics, particularly three-point statistics, of the Large Scale Structure (LSS) of the Universe provides us with unique information on the biasing relation between luminous and dark matter and on deviations from primordial Gaussianity. As a result, much effort has been put into improving measurement techniques as well as theoretical modelling, especially in Fourier space. Comparatively, little progress has been made, instead, in configuration space analyses. This work represents a first step towards filling this gap by proposing a new strategy for modelling 3-point statistics at higher perturbative orders in configuration space. Starting from the next-to-leading order model for the matter bispectrum, we use 2D- FFTLog to generate its counterpart in configuration space. We calibrate the procedure using the leading order predictions for which an analytic…
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Taxonomy
TopicsAstronomy and Astrophysical Research · Scientific Research and Discoveries · Galaxies: Formation, Evolution, Phenomena
