Testing the consistency of three-point halo clustering in Fourier and configuration space
Kai Hoffmann, Enrique Gaztanaga, Roman Scoccimarro, Martin Crocce

TL;DR
This study compares three-point halo clustering measurements from large simulations with perturbation theory predictions, assessing bias models and their implications for galaxy survey analysis.
Contribution
It evaluates the accuracy of different bias models in predicting three-point correlations in matter and haloes, linking Fourier and configuration space analyses.
Findings
Measurements agree with predictions for large triangles (r > 60 h^{-1} Mpc).
Non-linear power spectrum improves matter correlation predictions at BAO scales.
Universal bias model effectively describes halo correlations, aiding galaxy survey constraints.
Abstract
We compare reduced three-point correlations of matter, haloes (as proxies for galaxies) and their cross correlations, measured in a total simulated volume of , to predictions from leading order perturbation theory on a large range of scales in configuration space. Predictions for haloes are based on the non-local bias model, employing linear () and non-linear (, ) bias parameters, which have been constrained previously from the bispectrum in Fourier space. We also study predictions from two other bias models, one local () and one in which and are determined by via an approximately universal relation. Overall, measurements and predictions agree when is derived for triangles with , where are the sizes of the triangle legs. Predictions for…
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