Speaker
Marcel Rodekamp
(Forschungszentrum Jülich)
Description
We demonstrate the use of Bayesian fitting combined with a model averaging technique based on the Bayesian Akaike information criterion, with the intention to release a general purpose python package for typical correlator analysis coming from LFT. As examples we concentrate on two-point functions, one from a recent study on the Hubbard model and one on hadron correlators, extracting energies and amplitudes. A simple bootstrap analysis is performed including statistical and systematic uncertainties.
Primary authors
Giovanni Pederiva
(Forschungszentrum Jülich - Jülich Supercomputing Centre)
Marcel Rodekamp
(Forschungszentrum Jülich)
