loop_stochav

loop

<p>String or integer, number of stochastic samples
to average over. Only possible string is 'all'.
If an integer is supplied, it must be at least '1'
and at most consistent with the number of stochastic
samples in <code>loop</code>.</p>

nstoch_to_avg

<p>Perform mean over the third dimension of the loop data.</p>

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

loop_stochav function

average over stochastic samples of loop — loop_stochav

average over stochastic samples of loop

loop_stochav: average over stochastic samples of loop

Description

Usage

Arguments

Value