Improved Monte Carlo Glauber predictions at present and future nuclear colliders

By C. Loizides, J. Kamin, D. d’Enterria. 2017

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We present the results of an improved Monte Carlo Glauber (MCG) model of relevance for collisions involving nuclei at center-of-mass energies of the BNL Relativistic Heavy Ion Collider (sNN=0.2 TeV), CERN Large Hadron Collider (LHC) (sNN=2.76–8.8TeV), and proposed future hadron colliders (sNN≈10–63 TeV). The inelastic pp cross sections as a function of sNN are obtained from a precise data-driven parametrization that exploits the many available measurements at LHC collision energies. We describe the nuclear density of a lead nucleus with two separated two-parameter Fermi distributions for protons and neutrons to account for their different densities close to the nuclear periphery. Furthermore, we model the nucleon degrees of freedom inside the nucleus through a lattice with a minimum nodal separation, combined with a “recentering and reweighting” procedure, that overcomes some limitations of previous MCG approaches. The nuclear overlap function, number of participant nucleons and binary nucleon-nucleon collisions, participant eccentricity and triangularity, overlap area, and average path length are presented in intervals of percentile centrality for lead-lead (PbPb) and proton-lead (pPb) collisions at all collision energies. We demonstrate for collisions at sNN=5.02TeV that the central values of the Glauber quantities change by up to 7% in a few bins of reaction centrality, due to the improvements implemented, though typically they remain within the previously assigned systematic uncertainties, while their new associated uncertainties are generally smaller (mostly below 5%) at all centralities than for earlier calculations. Tables for all quantities versus centrality at present and foreseen collision energies involving Pb nuclei, as well as for collisions of XeXe at sNN=5.44TeV, and AuAu and CuCu at sNN=0.2TeV, are provided. The source code for the improved Monte Carlo Glauber model is made publicly available.

View Paper: https://www.semanticscholar.org/paper/5b507b554466fca383be6f0d48750577d86c997f

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