Published May 1, 2014
| Version v1
Journal article
Padé approximation and glueball mass estimates in 3d and 4d with Nc=2,3 colors
Creators
- 1. Ghent University, Department of Physics and Astronomy, Krijgslaan 281-S9, 9000 Gent (Belgium)
- 2. Departamento de Física Teórica, Instituto de Física, UERJ — Universidade do Estado do Rio de Janeiro, Rua São Francisco Xavier 524, 20550-013 Maracanã, Rio de Janeiro (Brazil)
Description
A Padé approximation approach, rooted in an infrared moment technique, is employed to provide mass estimates for various glueball states in pure gauge theories. The main input in this analysis are theoretically well-motivated fits to lattice gluon propagator data, which are by now available for both SU(2) and SU(3) in 3 and 4 space–time dimensions. We construct appropriate gauge invariant and Lorentz covariant operators in the (pseudo)scalar and (pseudo)tensor sector. Our estimates compare reasonably well with a variety of lattice sources directly aimed at extracting glueball masses.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.physletb.2014.03.056Additional details
Identifiers
- DOI
- 10.1016/j.physletb.2014.03.056;
- arXiv
- arXiv:1310.2016v2;
- PII
- S0370-2693(14)00218-4;
Publishing Information
- Journal Title
- Physics Letters. Section B
- Journal Volume
- 732
- Journal Issue
- Complete
- Journal Page Range
- p. 247-254
- ISSN
- 0370-2693
- CODEN
- PYLBAJ
INIS
- Country of Publication
- Netherlands
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 46016695
- Subject category
- S72: PHYSICS OF ELEMENTARY PARTICLES AND FIELDS;
- Descriptors DEI
- APPROXIMATIONS; COLOR MODEL; GAUGE INVARIANCE; GLUEBALLS; GLUONS; LORENTZ INVARIANCE; MASS; PSEUDOSCALARS; PSEUDOVECTOR COUPLING; SPACE-TIME; SU-2 GROUPS; SU-3 GROUPS
- Descriptors DEC
- BOSONS; CALCULATION METHODS; COMPOSITE MODELS; COUPLING; INVARIANCE PRINCIPLES; LIE GROUPS; MATHEMATICAL MODELS; PARTICLE MODELS; QUARK MODEL; SU GROUPS; SYMMETRY GROUPS
Optional Information
- Copyright
- Copyright (c) 2014 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.