An Enhanced Thermodynamic Framework for Third-Order Galaxy Correlation Functions: A Physically Motivated Closure and Observational Test
Sameer Choudhary, Naseer Iqbal
TL;DR
This work presents a thermodynamic, BBGKY-based closure for the galaxy three-point correlation function (3PCF), yielding an analytic solution for the equilateral configuration and linking the 3PCF amplitude $Q$ to the 2-point function slope $\gamma$. By enforcing a hierarchical ansatz and a quasi-equilibrium, isothermal galaxy fluid, the authors predict $\zeta_{eq}(r) = 3Q\xi(r)^2$ with $\xi(r)=(r_0/r)^\gamma$, and derive a physically constrained relation $Q = \mathcal{F}(\gamma, b_{therm})$. The model is validated against SDSS/BOSS CMASS data using the Szapudi-Szalay estimator and covariance from SLICS, achieving $\chi^2/\mathrm{dof} = 1.27$ and $Q \approx 0.52$ with $\gamma \approx 1.82$, $r_0 \approx 5.6\,h^{-1}{\rm Mpc}$, demonstrating consistency with 2PCF measurements. The framework also provides a Redshift-Space Distortion (RSD) treatment via a Kaiser boost and a thermodynamically motivated Fingers-of-God damping, linking the fitted velocity dispersion $\sigma_v$ to the temperature $T$ through $\sigma_v^2 = k_B T/m_{\rm eff}$, and highlighting the framework as a physically predictive, complementary description of higher-order clustering on quasi-linear scales.
Abstract
The three-point correlation function (3PCF) is a crucial probe of non-Gaussianity and nonlinear structure formation. We develop a thermodynamic framework for the galaxy 3PCF by closing the BBGKY hierarchy with a physically motivated hierarchical ansatz, yielding a separable, analytic solution for the equilateral 3PCF. Our framework addresses the apparent discrepancy between the perturbation theory prediction for dark matter ($Q_{dm} \approx 1.6$) and observed galaxy measurements ($Q_{gal} \approx 0.5$) by incorporating thermodynamic virial effects and velocity dispersion. We validate this model with SDSS/BOSS CMASS measurements, obtaining an excellent fit ($χ^2/\mathrm{dof} = 1.27$) across $1$-$50,h^{-1}\mathrm{Mpc}$. The analysis utilizes the Szapudi-Szalay estimator with robust covariance estimation from the SLICS simulation suite. By linking the thermodynamic temperature $T$ to the small-scale velocity dispersion (Fingers-of-God), we establish the thermodynamic approach as a predictive, complementary description of higher-order galaxy clustering on quasi-linear scales.
