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routineAI for Science & EngineeringNeural network2607.21548

Neural solutions of coupled ghost and gluon Dyson--Schwinger equations in Landau gauge

Rodrigo Carmo Terin

hep-ph cs.LG hep-lat hep-th

Abstract

The coupled ghost and gluon Dyson--Schwinger equations (DSEs) of four-dimensional Landau-gauge Yang--Mills (YM) theory are solved with a neural representation trained only from renormalized equation residuals. The neural and fixed-point solutions agree at the percent level and remain stable under changes of initialization, network size, integration grid, and infrared boundary condition. Variations of the three-gluon vertex model produce substantially larger effects than the neural error. The MiniMOM ultraviolet running and the sign change of the gluon Schwinger function are also reproduced within the limitations of the truncation.

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Classified with taxonomy v2 on Wed, 2 Sept 2026.

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