swap_seed

<p>integer. The new seed that is to be set. In case this is
parameter is missing, no changes are made and the function just returns
<code>NULL</code>. This is useful because a function can just pass on its own <code>seed</code>
argument and therefore control whether the seed shall be fixed or left
as-is.</p>

new_seed

<p>Set seed and store a seed which can be used to
reset the random number generator</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

swap_seed function

Set seed and store a seed which can be used to
reset the random number generator — swap_seed

Set seed and store a seed which can be used to
reset the random number generator

swap_seed: Set seed and store a seed which can be used to reset the random number generator

Description

Usage

Arguments

Value