Jonah E. Bernhard
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View article: Bayesian estimation of the specific shear and bulk viscosity of the quark-gluon plasma
Bayesian estimation of the specific shear and bulk viscosity of the quark-gluon plasma Open
This repository contains all data necessary to reproduce Bayesian parameter estimates of a computational model of relativistic heavy-ion collisions. The computational collision model which generated the raw data is available at https://git…
View article: Bayesian estimation of the specific shear and bulk viscosity of the quark-gluon plasma
Bayesian estimation of the specific shear and bulk viscosity of the quark-gluon plasma Open
This repository contains all data necessary to reproduce Bayesian parameter estimates of a computational model of relativistic heavy-ion collisions.\n\n\nThe computational collision model which generated the raw data is available at h…
View article: Bayesian parameter estimation for relativistic heavy-ion collisions
Bayesian parameter estimation for relativistic heavy-ion collisions Open
I develop and apply a Bayesian method for quantitatively estimating properties of the quark-gluon plasma (QGP), an extremely hot and dense state of fluid-like matter created in relativistic heavy-ion collisions. The QGP cannot be directly …
View article: Data-driven analysis for the temperature and momentum dependence of the heavy-quark diffusion coefficient in relativistic heavy-ion collisions
Data-driven analysis for the temperature and momentum dependence of the heavy-quark diffusion coefficient in relativistic heavy-ion collisions Open
By applying a Bayesian model-to-data analysis, we estimate the temperature and momentum dependence of the heavy quark diffusion coefficient in an improved Langevin framework. The posterior range of the diffusion coefficient is obtained by …
View article: Parameter extractions for RHIC BES using Bayesian statistics
Parameter extractions for RHIC BES using Bayesian statistics Open
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View article: A data-drive analysis for heavy quark diffusion coefficient
A data-drive analysis for heavy quark diffusion coefficient Open
We apply a Bayesian model-to-data analysis on an improved Langevin framework to estimate the temperature and momentum dependence of the heavy quark diffusion coefficient in the quark-gluon plasma (QGP). The spatial diffusion coefficient is…
View article: Constraints on rapidity-dependent initial conditions from charged-particle pseudorapidity densities and two-particle correlations
Constraints on rapidity-dependent initial conditions from charged-particle pseudorapidity densities and two-particle correlations Open
We study the initial three-dimensional spatial configuration of the\nquark-gluon plasma produced in relativistic heavy-ion collisions using\ncentrality and rapidity-dependent measurements of charged particle\npseudorapidity densities and t…
View article: A data-driven analysis of the heavy quark transport coefficient
A data-driven analysis of the heavy quark transport coefficient Open
Using a Bayesian model-to-data analysis, we estimate the temperature dependence of the heavy quark diffusion coefficients by calibrating to the experimental data of D-meson RAA and v2 in AuAu collisions ($\\sqrt{s}$NN = 200 GeV) and PbPb c…
View article: Multistage Monte Carlo simulation of jet modification in a static medium
Multistage Monte Carlo simulation of jet modification in a static medium Open
In this work, 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 e…
View article: Multistage Monte Carlo simulation of jet modification in a static medium
Multistage Monte Carlo simulation of jet modification in a static medium Open
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 an…
View article: h5py/h5py: 2.3.1
h5py/h5py: 2.3.1 Open
HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.
View article: h5py/h5py 2.1.0
h5py/h5py 2.1.0 Open
HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.
View article: h5py/h5py: 2.2.0
h5py/h5py: 2.2.0 Open
HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.
View article: h5py/h5py: 2.5.0
h5py/h5py: 2.5.0 Open
HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.
View article: h5py/h5py: 2.6.0
h5py/h5py: 2.6.0 Open
HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.
View article: h5py/h5py: 2.4.0
h5py/h5py: 2.4.0 Open
HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.
View article: h5py/h5py: 2.7.0
h5py/h5py: 2.7.0 Open
HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.
View article: Systematic Extraction of QGP Properties
Systematic Extraction of QGP Properties Open
We investigate the collision energy dependence of shear viscosity over the entropy density ratio $η/s$ in Au+Au collisions at $\sqrt{s_{NN}}=19.6, 39$, and $62.4$ GeV, using Bayesian statistical analysis and Gaussian process emulators to e…
View article: Applying Bayesian parameter estimation to relativistic heavy-ion collisions: Simultaneous characterization of the initial state and quark-gluon plasma medium
Applying Bayesian parameter estimation to relativistic heavy-ion collisions: Simultaneous characterization of the initial state and quark-gluon plasma medium Open
We quantitatively estimate properties of the quark-gluon plasma created in\nultra-relativistic heavy-ion collisions utilizing Bayesian statistics and a\nmulti-parameter model-to-data comparison. The study is performed using a\nrecently dev…
View article: Alternative ansatz to wounded nucleon and binary collision scaling in high-energy nuclear collisions
Alternative ansatz to wounded nucleon and binary collision scaling in high-energy nuclear collisions Open
We introduce TRENTO, a new parametric initial condition model for high-energy\nnuclear collisions based on eikonal entropy deposition via a "reduced\nthickness" function. The model simultaneously describes experimental\nproton-proton, prot…
View article: Quantifying properties of hot and dense QCD matter through systematic model-to-data comparison
Quantifying properties of hot and dense QCD matter through systematic model-to-data comparison Open
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 model parameters including fundamental quark-gluon plasma properties such…