DYNAMICAL MASS GENERATION IN QUANTUM FIELD THEORY: SOME METHODS WITH APPLICATION TO THE GROSS-NEVEU MODEL AND YANG-MILLS THEORY

机译：量子场论中的动力学质量生成：某些方法在总神经网络模型和杨米尔理论中的应用

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We introduce some techniques to investigate dynamical mass generation. The Gross-Neveu model (GN) is used as a toy model, because the GN mass gap is exactly known, making it possible to check reliability of the various methods. Very accurate results are obtained. Also application to SU(N) Yang-Mills (YM) is discussed.

机译：我们介绍一些技术来研究动态质量生成。 Gross-Neveu模型（GN）可以用作玩具模型，因为GN的质量差是众所周知的，因此可以检查各种方法的可靠性。获得非常准确的结果。还讨论了对SU（N）Yang-Mills（YM）的应用。

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《NATO Advanced Research Workshop on Confinement, Topology, and Other Non-Perturbative Aspects of QCD Jan 21-27, 2002 Stara Lesna, Slovakia》|2002年|p.97-104|共8页
会议地点 Stara Lesna(SK)
作者
DAVID DUDAL; KAREL VAN ACOLEYEN; HENRI VERSCHELDE;
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Fund For Scientific Research-Flanders(Belgium);

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原文格式 PDF
正文语种 eng
中图分类 O5;
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DYNAMICAL MASS GENERATION IN QUANTUM FIELD THEORY: SOME METHODS WITH APPLICATION TO THE GROSS-NEVEU MODEL AND YANG-MILLS THEORY

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