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    Imprint of α clustering on ab initio correlations in relativistic light ion collisions

    Hadi Mehrabpour*

    • School of Physics and Center for High Energy Physics, Peking University, Beijing 100871, China

    • *Contact author: hadi.mehrabpour.hm@gmail.com

    Phys. Rev. C 113, 034909 – Published 12 March, 2026

    DOI: https://doi.org/10.1103/cgcy-j883

    Abstract

    This study investigates the influence of α-cluster structures in relativistic light nuclear collisions. Using a cluster framework, I extract the characteristics of the nucleonic configurations of O16 and Ne20 as predicted by various ab initio models, including Nuclear Lattice Effective Field Theory (NLEFT), Variational Monte Carlo (VMC), and the Projected Generator Coordinate Method (PGCM). Additionally, I analyze configurations derived from a three-parameter Fermi (3pF) density function. The investigation focuses on the effects of cluster parameters on two-point correlators using a rotor model for symmetric collisions (O16+O16 and Ne20+Ne20) and asymmetric collisions (Pb208+O16 and Pb208+Ne20). The cluster parameters are determined by minimizing the chi-square statistic to align the nucleon distributions with those predicted by the aforementioned theories. The results reveal that perturbative calculations effectively capture the structural features of these nuclei, while comparisons with Monte Carlo simulations validate these findings. Furthermore, the analysis reveals distinct cluster geometries: VMC suggests tetrahedral shapes, while NLEFT, PGCM, and 3pF indicate irregular triangular pyramids. Notably, NLEFT shows a bowling-pin-like α cluster structure for Ne20. The study also identifies constraints on cluster parameters in the different oxygen structures, with a gradual increase in ɛ2{2} for the states of α+C12. Accurate modeling of asymmetric collisions necessitates a range of nucleons from heavy spherical nuclei, leading to weighted correlators in perturbative calculations. I demonstrate consistency between perturbative calculations and Monte Carlo models, with analytical calculations providing more insights into asymmetric collisions than symmetric collisions.

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