Three-point phase correlations: A new measure of non-linear large-scale structure
Richard Wolstenhulme, Camille Bonvin, Danail Obreschkow

TL;DR
This paper introduces the line correlation function, a new statistical measure based on phase correlations in the density field, which effectively probes non-linear large-scale structure with advantages over traditional methods.
Contribution
The authors derive an analytical expression for the line correlation function, demonstrating its sensitivity to non-linear gravitational evolution and its robustness compared to standard measures like the bispectrum.
Findings
Line correlation agrees with simulations for r<30 Mpc/h.
Extended predictions match simulations in the strongly non-linear regime (r<2 Mpc/h).
Line correlation is bias-independent and less affected by Gaussian variance.
Abstract
We derive an analytical expression for a novel large-scale structure observable: the line correlation function. The line correlation function, which is constructed from the three-point correlation function of the phase of the density field, is a robust statistical measure allowing the extraction of information in the non-linear and non-Gaussian regime. We show that, in perturbation theory, the line correlation is sensitive to the coupling kernel F_2, which governs the non-linear gravitational evolution of the density field. We compare our analytical expression with results from numerical simulations and find a 1-sigma agreement for separations r<30 Mpc/h. Fitting formulae for the power spectrum and the non-linear coupling kernel at small scales allow us to extend our prediction into the strongly non-linear regime where we find a 1-sigma agreement with the simulations for r<2 Mpc/h. We…
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