A predictive formulation of the Nambu--Jona-Lasinio model
O.A. Battistel, G. Dallabona, G. Krein

TL;DR
This paper introduces a new regularization approach for the Nambu--Jona-Lasinio model that avoids explicit divergent integral evaluation, leading to ambiguity-free, symmetry-preserving, and predictive calculations of physical quantities.
Contribution
A novel regularization method for the NJL model that eliminates the need for explicit divergent integral evaluation and reduces arbitrariness in calculations.
Findings
Eliminates unphysical dependencies in amplitudes.
Provides numerical results for meson masses and couplings.
Ensures model predictions are independent of regularization choices.
Abstract
A novel strategy to handle divergences typical of perturbative calculations is implemented for the Nambu--Jona-Lasinio model and its phenomenological consequences investigated. The central idea of the method is to avoid the critical step involved in the regularization process, namely the explicit evaluation of divergent integrals. This goal is achieved by assuming a regularization distribution in an implicit way and making use, in intermediary steps, only of very general properties of such regularization. The finite parts are separated of the divergent ones and integrated free from effects of the regularization. The divergent parts are organized in terms of standard objects which are independent of the (arbitrary) momenta running in internal lines of loop graphs. Through the analysis of symmetry relations, a set of properties for the divergent objects are identified, which we denominate…
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