2016
DOI: 10.1016/j.physletb.2016.10.046
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Decay constants in soft wall AdS/QCD revisited

Abstract: Phenomenological AdS/QCD models, like hard wall and soft wall, provide hadronic mass spectra in reasonable consistency with experimental and (or) lattice results. These simple models are inspired in the AdS/CFT correspondence and assume that gauge/ gravity duality holds in a scenario where conformal invariance is broken through the introduction of an energy scale. Another important property of hadrons: the decay constant, can also be obtained from these models. However, a consistent formulation of an AdS/QCD… Show more

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Cited by 44 publications
(65 citation statements)
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“…This extra brane will work as the boundary were the particles live and also will fix, altogether with the dilatonic energy scale, the mass and decay constant spectra of the particles. The application of this idea gives good results describing the first four vector states of charmonium and also the first four of bottomonion with a total error near to 30% for fitting eight quarkonium states with three parameters [34]. The extension to finite temperature of this model gives a complete holographic view of the melting processes of these heavy quarkonium states, with results in agreement with the observed phenomenology [35].…”
Section: Introductionsupporting
confidence: 63%
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“…This extra brane will work as the boundary were the particles live and also will fix, altogether with the dilatonic energy scale, the mass and decay constant spectra of the particles. The application of this idea gives good results describing the first four vector states of charmonium and also the first four of bottomonion with a total error near to 30% for fitting eight quarkonium states with three parameters [34]. The extension to finite temperature of this model gives a complete holographic view of the melting processes of these heavy quarkonium states, with results in agreement with the observed phenomenology [35].…”
Section: Introductionsupporting
confidence: 63%
“…Following [34], we can test the predictability of the model developed here with the RMS error for estimating N parameters using N p parameters as…”
Section: Resultsmentioning
confidence: 99%
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