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Title: 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 CERN 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 η/s, calibrate the model to optimally reproduce experimental data, and extract quantitative constraints for all parameters simultaneously. Furthermore, the method is universal and easily extensible to other data and collision models.
Authors:
 [1] ;  [2] ;  [1] ;  [3] ;  [1] ;  [1]
  1. Duke Univ., Durham, NC (United States)
  2. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  3. Univ. of Wyoming, Laramie, WY (United States)
Publication Date:
OSTI Identifier:
1234920
Report Number(s):
LA-UR--15-20588
Journal ID: ISSN 0556-2813; PRVCAN
Grant/Contract Number:
PHY0941373; DMS1127914; DMS1228317; FG02-05ER41367; NNX09AK60G; AC52-06NA25396
Type:
Accepted Manuscript
Journal Name:
Physical Review. C, Nuclear Physics
Additional Journal Information:
Journal Volume: 91; Journal Issue: 5; Journal ID: ISSN 0556-2813
Publisher:
American Physical Society (APS)
Research Org:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Sponsoring Org:
USDOE
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; 72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS