DocumentCode :
3016295
Title :
Information optimization for Monte Carlo data and application to high-temperature quantum chromodynamics
Author :
Huang, S. ; Moriarty, K.J.M. ; Myers, E.A. ; Potvin, J.
Author_Institution :
Boston Univ., MA, USA
fYear :
1990
fDate :
12-16 Nov 1990
Firstpage :
742
Lastpage :
747
Abstract :
The method of density of states is applied to the problem of simulating quantum chromodynamics (QCD). Particular emphasis is placed on the computation of the equation of state describing the thermodynamics of QCD. The use of density of states reconstruction in QCD is one of the most severe tests of the method so far, as QCD involves one to two orders of magnitude more degrees of freedom than current spin models and other systems of statistical mechanics. The method of density of states reconstruction is summarized in general terms and its usefulness is illustrated with examples from finite temperature QCD. It is shown that, by using the method of density of states, one can optimize the information obtained from limited simulations in order to obtain in the worst cases the derivative of the thermodynamical functions, and in the best cases their entire curve over a wide range of temperatures
Keywords :
Monte Carlo methods; colour model; digital simulation; physics computing; quark confinement; Monte Carlo data; QCD; confinement; density of states; equation of state; finite temperature QCD; first order phase transition; high-temperature quantum chromodynamics; optimization; thermodynamical functions; Gases; Lattices; Monte Carlo methods; Numerical simulation; Physics; Plasma temperature; Probability distribution; Temperature dependence; Temperature distribution; Thermodynamics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Supercomputing '90., Proceedings of
Conference_Location :
New York, NY
Print_ISBN :
0-8186-2056-0
Type :
conf
DOI :
10.1109/SUPERC.1990.130095
Filename :
130095
Link To Document :
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