Flow in small and large quark-gluon plasma droplets: the role of nucleon substructure

Abstract

We study the effects of nucleon substructure on bulk observables in proton-lead collisions at the LHC using Bayesian methodology. Substructure is added to the TRENTO parametric initial condition model using Gaussian nucleons with a variable number of Gaussian partons. We vary the number and width of these partons while recovering the desired inelastic proton-proton cross section and ensemble averaged proton density. We then run the model through a large number of minimum bias hydrodynamic simulations and measure the response of final particle production and azimuthal particle correlations to initial state properties. Once these response functions are determined, we calibrate free parameters of the model using established Bayesian methodology. We comment on the implied viability of the partonic model for describing hydrodynamic behavior in small systems.

proceedings for Quark Matter 2017

References in corpus (3)

• Alternative ansatz to wounded nucleon and binary collision scaling in high-energy nuclear collisions
• Multi-particle azimuthal correlations in p-Pb and Pb-Pb collisions at the CERN Large Hadron Collider
• Eccentric protons? Sensitivity of flow to system size and shape in p+p, p+Pb and Pb+Pb collisions

Cited by in corpus (8)

• Small System Collectivity in Relativistic Hadron and Nuclear Collisions
• Estimating initial state and quark-gluon plasma medium properties using a hybrid model with nucleon substructure calibrated to $p$-Pb and Pb-Pb collisions at $\sqrt{s_{\mathrm{NN}}}=5.02$ TeV
• Bayesian parameter estimation for relativistic heavy-ion collisions
• Study of the sensitivity of observables to hot spot size in heavy ion collisions
• Origins of collectivity in small systems
• Correlated gluonic hot spots meet symmetric cumulants data at LHC energies
• Proton shape fluctuations and its relation to DIS
• Holography in Quark-Gluon Plasma and Neutron Stars