An edition of Dirac Spectra in Dense QCD (2013)

Dirac Spectra in Dense QCD

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Last edited by ImportBot
February 26, 2022 | History
An edition of Dirac Spectra in Dense QCD (2013)

Dirac Spectra in Dense QCD

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Gaining a theoretical understanding of the properties of ultra-relativistic dense matter has been one of the most important and challenging goals in quantum chromodynamics (QCD). In this thesis, the author analyzes dense quark matter in QCD with gauge group SU(2) using low-energy effective theoretical techniques and elucidates a novel connection between statistical properties of the Dirac operator spectrum at high baryon chemical potential and a special class of random matrix theories. This work can be viewed as an extension of a similar correspondence between QCD and matrix models which was previously known only for infinitesimal chemical potentials. In future numerical simulations of dense matter the analytical results reported here are expected to serve as a useful tool to extract physical observables such as the BCS gap from numerical data on the Dirac spectrum.

Publish Date
Language
English
Pages
136

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Edition Availability
Cover of: Dirac Spectra in Dense QCD
Dirac Spectra in Dense QCD
2014, Springer Japan
in English
Cover of: Dirac Spectra in Dense QCD
Dirac Spectra in Dense QCD
2013, Springer Japan, Imprint: Springer
electronic resource / in English

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Book Details


Table of Contents

<p>Introduction
QCD with Chemical Potential and Matrix Models
Dirac Operator in Dense QCD
Threefold Way at High Density
Conclusions.</p>.

Edition Notes

Published in
Tokyo
Series
Springer Theses, Recognizing Outstanding Ph.D. Research -- 124

Classifications

Dewey Decimal Class
530.14
Library of Congress
QC174.45-174.52, QC793-793.5

The Physical Object

Format
[electronic resource] /
Pagination
XIII, 136 p. 18 illus., 14 illus. in color.
Number of pages
136

ID Numbers

Open Library
OL27032566M
Internet Archive
diracspectradens00kana
ISBN 13
9784431541653

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February 26, 2022 Edited by ImportBot import existing book
June 29, 2019 Created by MARC Bot import new book