Monte-Carlo Methods for Simulating Luminescence Phenomena

A collection of functions to simulate luminescence production in dosimetric materials using Monte Carlo methods. Implemented are models for delocalised transitions (e.g., Chen and McKeever (1997) ), localised transitions (e.g., Pagonis et al. (2019) ) and tunnelling transitions (Jain et al. (2012) and Pagonis et al. (2019) ). Supported stimulation methods are thermal luminescence (TL), continuous-wave optically stimulated luminescence (CW-OSL), linearly-modulated optically stimulated luminescence (LM-OSL), linearly-modulated infrared stimulated luminescence (LM-IRSL), and isothermal luminescence (ITL or ISO-TL).


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Reference manual

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install.packages("RLumCarlo")

0.1.5 by Sebastian Kreutzer, 22 days ago


https://CRAN.R-project.org/package=RLumCarlo


Report a bug at https://github.com/R-Lum/RLumCarlo/issues


Browse source code at https://github.com/cran/RLumCarlo


Authors: Johannes Friedrich [aut, trl] , Sebastian Kreutzer [aut, trl, cre] , Vasilis Pagonis [aut] , Christoph Schmidt [aut] , Christian Laag [ctb] , Ena Rajovic [ctb] , Alex Roy Duncan [ctb]


Documentation:   PDF Manual  


GPL-3 license


Imports abind, doParallel, foreach, khroma, methods, parallel, Rcpp, scatterplot3d, stats

Depends on utils, magrittr

Suggests spelling, R.rsp, testthat

Linking to Rcpp, RcppArmadillo


See at CRAN