Lévy walk of pions in heavy-ion collisions
arXiv:2409.10373 · doi:10.1038/s42005-025-01973-x
Abstract
The process of Lévy walk, i.e., movement patterns described by heavy-tailed random walks, plays a role in various phenomena, from chemical and microbiological systems through marine predators to climate change. Recent experiments have suggested that this phenomenon also appears in heavy-ion collisions. However, the theoretical interpretation supporting such findings is still debated. In high-energy collisions of heavy nuclei, the strongly interacting Quark Gluon Plasma is created, which, similarly to the early Universe, undergoes a rapid expansion and transition back to hadronic matter. In the subsequent expanding hadron gas, particles interact until kinetic freeze-out, when their momenta stop changing, and they freely transition toward the detectors. Measuring spatial freeze-out distributions is a crucial tool in understanding the dynamics of the created matter and the interactions among its constituents. In this paper, we introduce a three-dimensional analysis of the spatial freeze-out distribution of pions (the most abundant particles in such collisions). Utilising Monte-Carlo simulations of high-energy collisions, we show that the chain of processes ending in a final state pion has a step length distribution leading to Lévy-stable distributions. Subsequently, we show that simulated pion freeze-out distributions indeed exhibit heavy tails and can be described by a three-dimensional elliptically contoured symmetric Lévy-stable distribution.
23 pages, 7 figures
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- Three-dimensional sizes and shapes of pion emission in heavy-ion collisions
- Probing the Three-dimension Emission Source and Neutron Skin via - Correlations in Heavy-Ion Collisions
- A self-consistent calculation of non-spherical Bose-Einstein correlation functions with Coulomb final-state interaction
- Geometry of particle emission in UrQMD Ar+Sc collisions at SPS energies
- Rapidity spectra in high-energy collisions and longitudinal nuclear suppression from nonadditive statistics