Calculation of Particle Pair Correlation Functions with Classical Trajectory Approximation
Sheng Xiao, Yijie Wang, Zhigang Xiao
TL;DR
This work addresses the challenge of extracting spatio-temporal information about particle emission sources in heavy-ion collisions at Fermi energies by developing a Monte Carlo model based on a classical trajectory approximation (CTA-I) that self-consistently couples thermal emission, a central mean-field for the residual source, and three-body final-state interactions. The model samples thermally equilibrated emission and propagates particle pairs under the combined source potential and inter-particle forces to compute two-particle correlation functions, $C(q)$. Application to IMF-IMF and LCP-LCP data demonstrates that $C(q)$ is highly sensitive to the Gaussian source size $\sigma_R$ but largely insensitive to the temperature $T$, aligning with experimental trends and allowing robust inference of the source’s spatio-temporal extent. This approach provides a practical tool to constrain emission-source sizes in the Fermi-energy regime and enhances the utility of femtoscopy for probing nuclear matter properties and reaction dynamics.
Abstract
Femtoscopic interferometry is a powerful tool for probing the spatio-temporal evolution of emission sources in heavy-ion collisions. A major challenge in the field is formulating a self-consistent description of the source function, final-state interactions between the particle pair, and interactions inherent to the source itself. To address this, we have developed a novel Monte Carlo model for calculating two-particle correlation functions in a classic framework. The model incorporates self-consistently the emission source of thermal equilibrium and three-body final state interactions. Application of the model shows satisfactory fit to experimental data, revealing that the correlation function is highly sensitive to the source's spatio-temporal extent. In contrast, the temperature parameter governing the emitted particles' energy spectra has a negligible influence. Our approach offers the potential to extract the spatio-temporal information from the emission source, thereby advancing the applicability of femtoscopic interferometry in the Fermi energy domain.
