weight.cf

cf_orig and possibly cf_boot object.

numeric. A single energy value $\Delta E$ for
the weighting.

energy_difference_val

numeric vector. Samples for the energy
difference value.

energy_difference_boot

integer, either <code>+1</code> or <code>-1</code>. Determines the sign $c$ in
the weight factor.

cosh_factor

integer. Offset for the time $t$, needed for the reweighting
after a shift.

offset

boolean. If <code>TRUE</code> apply inverse weight.

inverse

Weights a correlation function with the given energy difference $\Delta E$
such that the function is first multiplied with
$\exp(\Delta E t) + c \exp(\Delta E \cdot (Time - t)$.

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.

weight.cf: Weight a correlation function

Description

Usage

Arguments

Value