Abstract
The latest, high-accuracy identified hadron spectra measurements in highenergy nuclear collisions led us to the investigation of the strongly interacting particles and collective effects in small systems. Since microscopical processes result in a statistical Tsallis – Pareto distribution, the fit parameters q and T are well suited for identifying system size scalings and initial conditions. Moreover, parameter values provide information on the deviation from the extensive, Boltzmann – Gibbs statistics in finite-volumes. We apply here the fit procedure developed in our earlier study for proton-proton collisions [1, 2]. The observed mass and center-of-mass energy trends in the hadron production are compared to RHIC dAu and LHC pPb data in different centrality/multiplicity classes. Here we present new results on mass hierarchy in pp and pA from light to heavy hadrons.
Highlights
In high-energy nuclear physics the investigation of small colliding nuclear systems is fundamentally important for understanding collective effects
In our recent works [1, 2], we analyzed the spectra of various hadron species in pp collisions from RHIC to LHC energies
We compared the results to theoretical model calculations and explored the mass hierarchy and c.m. energy scaling of the parameters
Summary
In high-energy nuclear physics the investigation of small colliding nuclear systems is fundamentally important for understanding collective effects. Strong correlation phenomena typical for heavy-ion collisions were recently observed in pp and pA collisions [3, 4]. While correlations in such small systems are more clearly observable thanks to the lower background, their statistical and thermodynamical description points towards to exceed the classical Gibbs – Boltzmann framework. We compared the results to theoretical model calculations and explored the mass hierarchy and c.m. energy scaling of the parameters. In this short contribution, we extend our investigations to sured in dAu and pPb collisions tfhreomlat√esstNiNde=nti2fi0e0dGsterVanRgeH-IaCndtoh√easvNyN-fl=av5o.0re2dTheaVdrLoHn Cspeencetrragimeseiandifferent centralities. We used data from STAR [11] and ALICE [12, 13] measurements and analyzed them following the procedure described in details in Refs. [1, 2]
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