Neural network learns confining potentials and dilaton profile in holographic QCD from meson spectra, predicting steeper IR dilaton and pion masses with good accuracy.
QCD and dimensional deconstruction
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abstract
Motivated by phenomenological models of hidden local symmetries and the ideas of dimensional deconstruction and gauge/gravity duality, we consider the model of an "open moose". Such a model has a large number K of hidden gauge groups as well as a global chiral symmetry. In the continuum limit K->infinity the model becomes a 4+1 dimensional theory of a gauge field propagating in a dilaton background and an external space-time metric with two boundaries. We show that the model reproduces several well known phenomenological and theoretical aspects of low-energy hadron dynamics. We derive the general formulas for the mass spectrum, the decay constants of the pion and vector mesons, and the couplings between mesons. We then consider two simple realizations, one with a flat metric and another with a "cosh" metric interpolating between two AdS boundaries. For the pion form-factor, the single pole rho-meson dominance is exact in the latter case and approximate in the former case. We discover that an AdS/CFT-like prescription emerges in the computation of current-current correlators. We speculate on the role of the model in the theory dual to QCD.
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Learning holographic QCD with unflavoured meson spectra
Neural network learns confining potentials and dilaton profile in holographic QCD from meson spectra, predicting steeper IR dilaton and pion masses with good accuracy.