wip/py-corrfitter 3.7 NetBSD

This module contains tools that facilitate least-squares fits, as functions of time ``t``, of simulation (or other statistical) data for 2-point and 3-point correlators of the form:: Gab(t) = <b(t) a(0)> Gavb(t,T) = <b(T) V(t) a(0)> Each correlator is modeled using |Corr2| for 2-point correlators, or |Corr3| for 3-point correlators in terms of amplitudes for each source ``a``, sink ``b``, and vertex ``V``, and the energies associated with each intermediate state. The amplitudes and energies are adjusted in the least-squares fit to reproduce the data; they are specified in a shared prior (typically a dictionary).

An object of type |CorrFitter| describes a collection of correlators and is used to fit multiple models to data simultaneously. Any number of correlators may be described and fit by a single |CorrFitter| object. |CorrFitter| objects can also be used to to extract the appropriate fit data from |Dataset| objects.

This module has been used extensively for analyzing results from lattice QCD simulations