A5080199352- High-Energy Particle Collisions Research
- Particle physics theoretical and experimental studies
- Quantum Chromodynamics and Particle Interactions
- Inorganic Fluorides and Related Compounds
- Quantum, superfluid, helium dynamics
- Molecular Spectroscopy and Structure
- Statistical Methods and Bayesian Inference
- Nuclear reactor physics and engineering
- Forecasting Techniques and Applications
- demographic modeling and climate adaptation
- High-pressure geophysics and materials
- Cosmology and Gravitation Theories
- Superconducting Materials and Applications
- Radiation Therapy and Dosimetry
- Noncommutative and Quantum Gravity Theories
- Fault Detection and Control Systems
- Quantum Mechanics and Applications
- Mathematics, Computing, and Information Processing
Duke University
2014-2020
Swarthmore College
2010
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 recently developed parametric initial condition model, TRENTO, which interpolates among general class particle production schemes, modern hybrid model couples viscous hydrodynamics to hadronic cascade. calibrate multiplicity, transverse momentum, flow data report...
We introduce TRENTO, a new parametric initial condition model for high-energy nuclear collisions based on eikonal entropy deposition via "reduced thickness" function. The simultaneously describes experimental proton-proton, proton-nucleus, and nucleus-nucleus multiplicity distributions, generates eccentricity harmonics consistent with flow constraints. In addition, the is compatible ultra-central uranium-uranium data unlike existing models that include binary collision terms.
By applying a Bayesian model-to-data analysis, we estimate the temperature and momentum dependence of heavy quark diffusion coefficient in an improved Langevin framework. The posterior range is obtained by performing Markov chain Monte Carlo random walk calibrating on experimental data $D$-meson $R_{\mathrm{AA}}$ $v_2$ three different collision systems at RHIC LHC: AuAu collisions 200 GeV, PbPb 2.76 5.02 TeV. spatial found to be consistent with lattice QCD calculations comparable other...
We posit a unified hydrodynamic and microscopic description of the quark-gluon plasma (QGP) produced in ultrarelativistic $p$-Pb Pb-Pb collisions at $\sqrt{s_\mathrm{NN}}=5.02$ TeV evaluate our assertion using Bayesian inference. Specifically, we model dynamics both collision systems initial conditions with parametric nucleon substructure, pre-equilibrium free-streaming stage, event-by-event viscous hydrodynamics, hadronic afterburner. Free parameters which describe state QGP medium are then...
We systematically compare an event-by-event heavy-ion collision model to data from the CERN Large Hadron Collider. Using a general Bayesian method, we probe multiple parameters including fundamental quark-gluon plasma properties such as specific shear viscosity $\ensuremath{\eta}/s$, calibrate optimally reproduce experimental data, and extract quantitative constraints for all simultaneously. The method is universal easily extensible other models.
The modification of hard jets in an extended static medium held at a fixed temperature is studied using three different Monte Carlo event generators: linear Boltzmann transport (LBT), modular all twist transverse-scattering elastic-drag and radiation (MATTER), algorithm for relativistic treatment heavy-ion interactions (MARTINI). Each generator contains set assumptions regarding the energy virtuality partons within jet versus scale and, hence, applies to epoch space-time history evolution....
We determine the probability distributions of shear viscosity over entropy density ratio $\ensuremath{\eta}/s$ in quark-gluon plasma formed Au + collisions at $\sqrt{{s}_{NN}}=19.6,\phantom{\rule{0.16em}{0ex}}39$, and $62.4\phantom{\rule{0.16em}{0ex}}\mathrm{GeV}$, using Bayesian inference Gaussian process emulators for a model-to-data statistical analysis that probes full input parameter space transport viscous hydrodynamics hybrid model. find most likely value to be larger smaller...
I develop and apply a Bayesian method for quantitatively estimating properties of the quark-gluon plasma (QGP), an extremely hot dense state fluid-like matter created in relativistic heavy-ion collisions. The QGP cannot be directly observed -- it is extraordinarily tiny ephemeral, about $10^{-14}$ meters size living $10^{-23}$ seconds before freezing into discrete particles but can indirectly characterized by matching output computational collision model to experimental observations. model,...
We study the initial three-dimensional spatial configuration of quark-gluon plasma (QGP) produced in relativistic heavy-ion collisions using centrality and pseudorapidity-dependent measurements medium's charged particle density two-particle correlations. A cumulant-generating function is first used to parametrize rapidity dependence local entropy deposition extend arbitrary boost-invariant conditions nonzero beam rapidities. The model then compared $p+\text{Pb}$ Pb + charged-particle...
The quality of data taken at RHIC and LHC as well the success sophistication computational models for description ultra-relativistic heavy-ion collisions have advanced to a level that allows quantitative extraction transport properties Quark-Gluon-Plasma. However, complexity this task effort associated with it can only be overcome by developing novel methodologies: in paper we outline such an analysis based on Bayesian Statistics systematically compare event-by-event collision model from...
The iEBE-VISHNU code package performs event-by-event simulations for relativistic heavy-ion collisions using a hybrid approach based on (2+1)-dimensional viscous hydrodynamics coupled to hadronic cascade model. We present the detailed model implementation, accompanied by some numerical tests package. forms core of general theoretical framework model-data comparisons through large scale Monte-Carlo simulations. A interface between hydrodynamically evolving medium and thermal photon radiation...
We perform a global Bayesian analysis of modern event-by-event heavy-ion collision model and LHC data at $\sqrt s$ = 2.76 5.02 TeV. After calibration, the simultaneously describes multiplicity, transverse momentum, flow both beam energies. report new constraints on scaling initial-state entropy deposition QGP transport coefficients, including quantitative estimate temperature-dependent shear viscosity $(\eta/s)(T)$.
We study the effects of nucleon substructure on bulk observables in proton-lead collisions at LHC using Bayesian methodology. Substructure is added to TRENTO parametric initial condition model Gaussian nucleons with a variable number partons. vary and width these partons while recovering desired inelastic proton-proton cross section ensemble averaged proton density. then run through large minimum bias hydrodynamic simulations measure response final particle production azimuthal correlations...
Using a Bayesian model-to-data analysis, we estimate the temperature dependence of heavy quark diffusion coefficients by calibrating to experimental data $D$-meson $R_{\mathrm{AA}}$ and $v_2$ in AuAu collisions ($\sqrt{s_{NN}}=200$ GeV) PbPb ($\sqrt{s_{NN}}=2.76$ TeV)~\cite{Xie:2016iwq}. The spatial coefficient $D_s2\pi T$ is found be mostly constraint around $(1.3-1.5) T_c$ compatible with lattice QCD calculations. We demonstrate capability our improved Langevin model simultaneously...
We investigate the collision energy dependence of $\eta/s$ in a transport + viscous hydrodynamics hybrid model. A Bayesian analysis is performed on RHIC beam scan data for $Au+Au$ collisions at $\sqrt{s_{NN}}=19.6,39,$ and $62.4$ GeV. The resulting posterior probability distributions model parameters show preference larger value $19.6$ GeV compared to GeV, indicating baryon chemical potential $\mu_B$.
We apply a well tested hybrid transport model, which couples viscous hydrodynamics to hadronic afterburner, describe bulk observables in proton-lead and lead-lead collisions at $\sqrt{s_{NN}}=5.02$ TeV. The quark-gluon plasma (QGP) initial conditions are modeled using the parametric TRENTO model with additional nucleon substructure parameters vary number size of hot spots inside each nucleon, followed by pre-equilibrium free streaming stage match full energy-momentum tensor state onto...
We investigate the collision energy dependence of shear viscosity over entropy density ratio $\eta/s$ in Au+Au collisions at $\sqrt{s_{NN}}=19.6, 39$, and $62.4$ GeV, using Bayesian statistical analysis Gaussian process emulators to explore full input parameter space a transport+hydrodynamics hybrid model. The is found decrease as function energy, supporting results from previous studies performed with same
We present the latest results on collision energy dependence of $\eta/s$, obtained from a Bayesian model-to-data analysis UrQMD + viscous hydrodynamics hybrid model to RHIC beam scan data for Au+Au collisions at 19.6, 39 and 62.4 GeV. Changes in most likely value $\eta/s$ over range suggest baryon chemical potential $\mu_B$. However, we also find uncertainties regarding be notable $\sqrt{s_{NN}}=19.6$
We apply a Bayesian model-to-data analysis on an improved Langevin framework to estimate the temperature and momentum dependence of heavy quark diffusion coefficient in quark-gluon plasma (QGP). The spatial is found have minimum around 1-3 near T c zero limit, has non-trivial dependence. With estimated coefficient, our model able simultaneously describe D -meson R AA v 2 three different systems at RHIC LHC.