Quantifying properties of hot and dense QCD matter through systematic model-to-data comparison

We systematically compare an event-by-event heavy-ion collision model to data from the Large Hadron Collider. Using a general Bayesian method, we probe multiple model parameters including fundamental quark-gluon plasma properties such as the specific shear viscosity \(\eta/s\), calibrate the model t...

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Bibliographic Details
Published in:arXiv.org 2015-05
Main Authors: Bernhard, Jonah E, Marcy, Peter W, Coleman-Smith, Christopher E, Huzurbazar, Snehalata, Wolpert, Robert L, Bass, Steffen A
Format: Article
Language:English
Subjects:
Bayesian analysis
Gluons
Ionic collisions
Large Hadron Collider
Mathematical models
Parameters
Quark-gluon plasma
Quarks
Shear viscosity
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Description
Summary:We systematically compare an event-by-event heavy-ion collision model to data from the Large Hadron Collider. Using a general Bayesian method, we probe multiple model parameters including fundamental quark-gluon plasma properties such as the specific shear viscosity \(\eta/s\), calibrate the model to optimally reproduce experimental data, and extract quantitative constraints for all parameters simultaneously. The method is universal and easily extensible to other data and collision models.
ISSN:2331-8422
DOI:10.48550/arxiv.1502.00339