pkgsrc-wip/py-corrfitter/distinfo

$NetBSD: distinfo,v 1.1 2013/08/31 20:27:22 jihbed Exp $

SHA1 (corrfitter-3.6.tar.gz) = 71f39811fba7f0f990930c5ad0cfe6a4c39c99a3
RMD160 (corrfitter-3.6.tar.gz) = 9c3957be5ad8738d1efc76234eeb8a436557cddb
Size (corrfitter-3.6.tar.gz) = 1655539 bytes
Import py27-corrfitter-3.6 as wip/py-corrfitter. 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 2013-08-31 22:27:22 +02:00			$NetBSD: distinfo,v 1.1 2013/08/31 20:27:22 jihbed Exp $

			`SHA1 (corrfitter-3.6.tar.gz) = 71f39811fba7f0f990930c5ad0cfe6a4c39c99a3`
			`RMD160 (corrfitter-3.6.tar.gz) = 9c3957be5ad8738d1efc76234eeb8a436557cddb`
			`Size (corrfitter-3.6.tar.gz) = 1655539 bytes`