Evolutionary fitting methods for the extraction of mass spectra in lattice field theory
GM von Hippel, R Lewis, RG Petry�- Computer Physics Communications, 2008 - Elsevier
GM von Hippel, R Lewis, RG Petry
Computer Physics Communications, 2008•ElsevierWe present an application of evolutionary algorithms to the curve-fitting problems commonly
encountered when trying to extract particle masses from correlators in lattice QCD.
Harnessing the flexibility of evolutionary methods in global optimization allows us to
dynamically adapt the number of states to be fitted along with their energies so as to
minimize overall χ2/(dof), leading to a promising new way of extracting the mass spectrum
from measured correlation functions.
encountered when trying to extract particle masses from correlators in lattice QCD.
Harnessing the flexibility of evolutionary methods in global optimization allows us to
dynamically adapt the number of states to be fitted along with their energies so as to
minimize overall χ2/(dof), leading to a promising new way of extracting the mass spectrum
from measured correlation functions.
We present an application of evolutionary algorithms to the curve-fitting problems commonly encountered when trying to extract particle masses from correlators in lattice QCD. Harnessing the flexibility of evolutionary methods in global optimization allows us to dynamically adapt the number of states to be fitted along with their energies so as to minimize overall χ2/(d.o.f.), leading to a promising new way of extracting the mass spectrum from measured correlation functions.
Elsevier