Abstract

An extended linear sigma model with mesons (qq̄ states) and baryons (qqq states) is presented. The model contains a low energy multiplet for every hadronic particle type, namely a scalar, a pseudoscalar, a vector and an axialvector nonet, a baryon octet and a baryon decuplet. The model parameters are determined through a multiparametric minimalization with the help of well known physical quantities. It is found that the considered zero temperature quantities (masses and decay widths) can be described well at tree-level and are in good agreement with the experimental data.

Highlights

  • The vacuum properties of strong interaction are very hard to investigate within the framework of QCD – the fundamental theory of strong interaction, which is due to its subtlety at low energies

  • In this paper we set up an extended linear sigma model, which contains mesonic and baryonic degrees of freedom

  • The quadratic and three-coupling terms of the Lagrangian can be determined from which the masses and the decay widths originate

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Summary

Introduction

The vacuum properties of strong interaction are very hard to investigate within the framework of QCD – the fundamental theory of strong interaction – (see e.g.[1]), which is due to its subtlety at low energies. In this paper we include the nucleon-octet and the Delta-decuplet to extend the vacuum phenomenology for baryons as well. Another approach to baryon phenomenology can be found in [6]. The terms in the meson part are limited by chiral and dilaton symmetry (for details see [5]), while in case of the baryon part we included all the SU (3)V invariants which can produce baryon masses – with different masses for different particles in the given multiplet – and decuplet decays with the lowest possible dimension (B − B − Φ − Φ, ∆ − ∆ − Φ − Φ and ∆ − B − Φ terms). Are the bare masses of the baryon octet and decuplet. f is the pion decay constant, while [ , ]

A 2 by 2 segment of the mass matrix consisting of the components
Tree-level quantities and parametrization
Results
Conclusion
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