Analysis Framework for Monte Carlo Simulation Data in Physics

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) ). 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) and M. Fischer et al. (2020) <>) are implemented. In addition, input/output and plotting routines are available.


Reference manual

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3.1.2 by Carsten Urbach, a year ago

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Authors: Bartosz Kostrzewa [aut] , Johann Ostmeyer [aut] , Martin Ueding [aut] , Carsten Urbach [aut, cre] , Nikolas Schlage [ctb] , Markus Werner [ctb] , Ferenc Pittler [ctb] , Matthias Fischer [ctb] , Vittorio Lubicz [ctb]

Documentation:   PDF Manual  

GPL-3 license

Imports abind, boot, dplyr, Rcpp, R6, stringr

Suggests minpack.lm, parallel, rhdf5, knitr, testthat, tictoc, tikzDevice, hash, numDeriv, staplr, markdown, rmarkdown, errors

Linking to Rcpp

System requirements: Gnu Scientific Library version >= 1.8

See at CRAN