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RLumCarlo: 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) <doi:10.1142/2781>), localised transitions (e.g., Pagonis et al. (2019) <doi:10.1016/j.jlumin.2018.11.024>) and tunnelling transitions (Jain et al. (2012) <doi:10.1088/0953-8984/24/38/385402> and Pagonis et al. (2019) <doi:10.1016/j.jlumin.2018.11.024>). 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).

Version:0.1.10
Depends:R (≥ 4.4), utils,magrittr
Imports:abind (≥ 1.4-8),doParallel (≥ 1.0.17),foreach (≥ 1.5.2),khroma (≥ 1.16.0), methods, parallel,Rcpp (≥ 1.1.0),scatterplot3d (≥ 0.3), stats
LinkingTo:Rcpp (≥ 1.1.0),RcppArmadillo (≥ 14.6.0)
Suggests:spelling (≥ 2.3.2),R.rsp (≥ 0.46.0),testthat (≥ 3.2.3)
Published:2025-09-19
DOI:10.32614/CRAN.package.RLumCarlo
Author:Johannes FriedrichORCID iD [aut, trl], Sebastian KreutzerORCID iD [aut, trl, cre], Vasilis PagonisORCID iD [aut], Christoph SchmidtORCID iD [aut], Christian LaagORCID iD [ctb], Ena Rajovic [ctb], Alex Roy Duncan [ctb]
Maintainer:Sebastian Kreutzer <sebastian.kreutzer at uni-heidelberg.de>
Contact:Package Developer Team <sebastian.kreutzer@uni-heidelberg.de>
BugReports:https://github.com/R-Lum/RLumCarlo/issues
License:GPL-3
URL:https://r-lum.github.io/RLumCarlo/
NeedsCompilation:yes
Language:en-GB
Citation:RLumCarlo citation info
Materials:README,NEWS
CRAN checks:RLumCarlo results

Documentation:

Reference manual:RLumCarlo.html ,RLumCarlo.pdf
Vignettes:RLumCarlo - Getting started with RLumCarlo (source)

Downloads:

Package source: RLumCarlo_0.1.10.tar.gz
Windows binaries: r-devel:RLumCarlo_0.1.10.zip, r-release:RLumCarlo_0.1.10.zip, r-oldrel:RLumCarlo_0.1.10.zip
macOS binaries: r-release (arm64):RLumCarlo_0.1.10.tgz, r-oldrel (arm64):RLumCarlo_0.1.10.tgz, r-release (x86_64):RLumCarlo_0.1.10.tgz, r-oldrel (x86_64):RLumCarlo_0.1.10.tgz
Old sources: RLumCarlo archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=RLumCarloto link to this page.


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