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RLumCarlo  

Monte-Carlo Methods for Simulating Luminescence Phenomena
View on CRAN: Click here


Download and install RLumCarlo package within the R console
Install from CRAN:
install.packages("RLumCarlo")

Install from Github:
library("remotes")
install_github("cran/RLumCarlo")

Install by package version:
library("remotes")
install_version("RLumCarlo", "0.1.9")



Attach the package and use:
library("RLumCarlo")
Maintained by
Sebastian Kreutzer
[Scholar Profile | Author Map]
First Published: 2020-06-12
Latest Update: 2022-08-08
Description:
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).
How to cite:
Sebastian Kreutzer (2020). RLumCarlo: Monte-Carlo Methods for Simulating Luminescence Phenomena. R package version 0.1.9, https://cran.r-project.org/web/packages/RLumCarlo. Accessed 09 May. 2025.
Previous versions and publish date:
0.1.4 (2020-06-12 10:00), 0.1.5 (2020-06-12 15:30), 0.1.6 (2020-07-05 22:30), 0.1.7 (2020-12-10 17:40), 0.1.8 (2022-02-21 14:30)
Other packages that cited RLumCarlo R package
View RLumCarlo citation profile
Other R packages that RLumCarlo depends, imports, suggests or enhances
Complete documentation for RLumCarlo
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