most citedPole-fitting for complex functions: enhancing standard techniques by artificial-neural-network classifiers and regressors

1 citations · 1 across the 1 of their papers we have counts for

collaborators

1 paper

hep-ph2023★ 1 cited

Pole-fitting for complex functions: enhancing standard techniques by artificial-neural-network classifiers and regressors

S. Kaidisch, T. U. Hilger, A. Krassnigg +1

Motivated by a use case in theoretical hadron physics, we revisit an application of a pole-sum fit to dressing functions of a confined quark propagator. More precisely, we investig…