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pro vyhledávání: '"Moreland, J. Scott"'
Autor:
Moreland, J. Scott
Dynamical models based on relativistic fluid dynamics provide a powerful tool to extract the properties of the strongly-coupled quark-gluon plasma (QGP) produced by ultrarelativistic nuclear collisions. The largest source of uncertainty in these mode
Externí odkaz:
http://arxiv.org/abs/1904.08290
Autor:
Heinz, Ulrich W., Moreland, J. Scott
The "unreasonable effectiveness" of relativistic fluid dynamics in describing high energy heavy-ion and even proton-proton collisions are demonstrated and discussed. Several recent ideas of optimizing relativistic fluid dynamics for the specific chal
Externí odkaz:
http://arxiv.org/abs/1904.06592
Publikováno v:
Phys. Rev. C 101, 024911 (2020)
We posit a unified hydrodynamic and microscopic description of the quark-gluon plasma (QGP) produced in ultrarelativistic $p$-Pb and Pb-Pb collisions at $\sqrt{s_\mathrm{NN}}=5.02$ TeV and evaluate our assertion using Bayesian inference. Specifically
Externí odkaz:
http://arxiv.org/abs/1808.02106
We apply a well tested hybrid transport model, which couples viscous hydrodynamics to a hadronic afterburner, to describe bulk observables in proton-lead and lead-lead collisions at $\sqrt{s_{NN}}=5.02$ TeV. The quark-gluon plasma (QGP) initial condi
Externí odkaz:
http://arxiv.org/abs/1806.04802
The Elo rating system is a highly successful ranking algorithm for games of skill where, by construction, one team wins and the other loses. A primary limitation of the original Elo algorithm is its inability to predict information beyond a match's w
Externí odkaz:
http://arxiv.org/abs/1802.00527
The quality of data taken at RHIC and LHC as well as the success and sophistication of computational models for the description of ultra-relativistic heavy-ion collisions have advanced to a level that allows for the quantitative extraction of the tra
Externí odkaz:
http://arxiv.org/abs/1704.07671
We perform a global Bayesian analysis of a modern event-by-event heavy-ion collision model and LHC data at $\sqrt s$ = 2.76 and 5.02 TeV. After calibration, the model simultaneously describes multiplicity, transverse momentum, and flow data at both b
Externí odkaz:
http://arxiv.org/abs/1704.04462
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
Externí odkaz:
http://arxiv.org/abs/1704.04486
Publikováno v:
Phys. Rev. C 96, 044912 (2017)
We study the initial three-dimensional spatial configuration of the quark-gluon plasma produced in relativistic heavy-ion collisions using centrality and rapidity-dependent measurements of charged particle pseudorapidity densities and two-particle co
Externí odkaz:
http://arxiv.org/abs/1610.08490
Publikováno v:
Phys. Rev. C 94, 024907 (2016)
We quantitatively estimate properties of the quark-gluon plasma created in ultra-relativistic heavy-ion collisions utilizing Bayesian statistics and a multi-parameter model-to-data comparison. The study is performed using a recently developed paramet
Externí odkaz:
http://arxiv.org/abs/1605.03954