hankeldensity2effectivemass

object as returned from <a rd-options="" href="/link/bootstrap.hankel?package=hadron&version=3.1.2" data-mini-rdoc="hadron::bootstrap.hankel">bootstrap.hankel</a>

hankel

Numeric vector. Value-range for the real part of the eigenvalues.
If outside this range, the eigenvalue will be discarded

range

Character vector. Method to be used to determine the central value
of the effective mass. Must be "median" (default) or "density"

method

computes the density of all bootstrap replicates of effective masses

Toolkit to perform statistical analyses of correlation
functions generated from Lattice Monte Carlo simulations. In
particular, a class 'cf' for correlation functions and
methods to analyse those are defined. This includes (blocked)
bootstrap (based on the 'boot' package) and jackknife, but also an
automatic determination of integrated autocorrelation
times. 'hadron' also provides a very general function
bootstrap.nlsfit() to bootstrap a non-linear least squares fit.
More specific functions are provided to extract hadronic quantities
from Lattice Quantum Chromodynamics simulations, a particular Monte
Carlo simulation,(see e.g. European Twisted Mass Collaboration, P. Boucaud et
al. (2008) <doi:10.1016/j.cpc.2008.06.013>). Here, to determine
energy eigenvalues of hadronic states, specific fitting routines
and in particular the generalised eigenvalue method (see
e.g. B. Blossier et al. (2009) <doi:10.1088/1126-6708/2009/04/094>
and M. Fischer et al. (2020)
<https://inspirehep.net/literature/1792113>) are implemented.
In addition, input/output and plotting routines are available.

Carsten Urbach

hadron

Analysis Framework for Monte Carlo Simulation Data in Physics

Bartosz Kostrzewa

Johann Ostmeyer

Martin Ueding

Nikolas Schlage

Markus Werner

Ferenc Pittler

Matthias Fischer

Vittorio Lubicz

hankeldensity2effectivemass function

object as returned from <a rd-options='' href='bootstrap.hankel'>bootstrap.hankel</a>

hankeldensity2effectivemass: hankeldensity2effectivemass

Description

Usage

Arguments

Value

See Also