This framework enables efficient evaluation of correlations in nuclear collisions, highlighting nuclear structure.
Multi-particle correlations between azimuthal angle and mean transverse momentum are a powerful tool for probing size and shape correlations in the initial conditions of ultra-relativistic nuclear collisions. These correlations have also been employed to investigate the structure of the colliding nuclei, including potential nuclear shape phase transitions at the energy frontier. However, the direct implementation of these correlations is highly nontrivial, and prior studies have been mostly limited to lower-order correlations, such as the modified Pearson correlation coefficient, ρ (vₙ², [pT]) ρ ( v n 2 , [ p T ] ) . This paper presents a unified framework that employs a recursive algorithm, enabling the efficient evaluation of arbitrary-order correlations while maintaining computational efficiency. This framework is demonstrated using widely adopted transport models, including AMPT and HIJING. The proposed unified algorithm for multi-particle correlations between azimuthal angle and transverse momentum provides a systematic and efficient approach for multi-particle correlation analyses. Its application in experiments at the Relativistic Heavy Ion Collider and the Large Hadron Collider facilitates the exploration of nuclear structure at ultra-relativistic energies.
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Nielsen et al. (2025) studied this question.
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