2005
DOI: 10.1016/j.nuclphysbps.2004.11.183
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Eigenvalue correlations in QCD with a chemical potential

Abstract: We discuss a new Random Matrix Model for QCD with a chemical potential that is based on the symmetries of the Dirac operator and can be solved exactly for all eigenvalue correlations for any number of flavors. In the microscopic limit of small energy levels the results should be an accurate description of QCD. This new model can also be scaled so that all physical observables remain at their µ = 0 values until a first order chiral restoration transition is reached. This gives a more realistic model for the QCD… Show more

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Cited by 2 publications
(3 citation statements)
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“…For nonzero temperature this will not be the case and one can leave the functions a and b independent. As was mentioned previously [14], this could possibly be used to help map out the QCD phase diagram. A nonlinear sigma model is obtained by using a Hubbard-Stratonovitch transformation to break apart the four fermion terms and then integrate out the Grassmann variables.…”
Section: Pos(lat2006)142mentioning
confidence: 96%
See 1 more Smart Citation
“…For nonzero temperature this will not be the case and one can leave the functions a and b independent. As was mentioned previously [14], this could possibly be used to help map out the QCD phase diagram. A nonlinear sigma model is obtained by using a Hubbard-Stratonovitch transformation to break apart the four fermion terms and then integrate out the Grassmann variables.…”
Section: Pos(lat2006)142mentioning
confidence: 96%
“…For nonzero temperature this will not be the case and one can leave the functions a and b independent. As was mentioned previously [14], this could possibly be used to help map out the QCD phase diagram.…”
Section: Rmt For Qcd With a Chemical Potentialmentioning
confidence: 96%
“…In the last decade, a second approach was pursued. A second chiral random matrix was introduced yielding the chiral analog of the Ginibre ensembles [8][9][10][11][12][13][14][15]. A quantitative analysis of the sign problem in Monte Carlo simulations was quite elusive until it was solved in χ RMT [6,7,16,17].…”
Section: Introductionmentioning
confidence: 99%