hankel2effectivemass

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

Integer. Index of eigenvalue to consider,
\(1\leq id\leq n\).

Character vector. Type of effective mass to use.
Must be in <code>c("log", "acosh")</code>

type

Numeric vector. Value-range for the real part of the eigenvalues
(not the energies). If outside this range, the eigenvalue will be discarded

range

Numeric. Cut-off: if the imaginary part of the generalised
eigenvalues is larger than eps, the eigenvalue is discarded.

the sort algorithm to be used to sort the eigenvalues. This can be
either simply "values", or the eigenvector information is used in addition with
"vectors"

sort.type

Boolean. Whether to use the eigenvector at t0 or the one at deltat-1
for sorting

sort.t0

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

hankel2effectivemass function

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

hankel2effectivemass: hankel2effectivemass

Description

Usage

Arguments

Value

See Also