Package: RLumCarlo 0.1.10.9000-5
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).
Authors:
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RLumCarlo.pdf |RLumCarlo.html✨
RLumCarlo/json (API)
NEWS
# Install 'RLumCarlo' in R: |
install.packages('RLumCarlo', repos = c('https://r-lum.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/r-lum/rlumcarlo/issues
feldspargeochronologyluminescenceluminescence-modelsmonte-carlo-simulationssimulation
Last updated 4 months agofrom:8461232a33. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 17 2024 |
R-4.5-win-x86_64 | OK | Nov 17 2024 |
R-4.5-linux-x86_64 | OK | Nov 17 2024 |
R-4.4-win-x86_64 | OK | Nov 17 2024 |
R-4.4-mac-x86_64 | OK | Nov 17 2024 |
R-4.4-mac-aarch64 | OK | Nov 17 2024 |
R-4.3-win-x86_64 | OK | Nov 17 2024 |
R-4.3-mac-x86_64 | OK | Nov 17 2024 |
R-4.3-mac-aarch64 | OK | Nov 17 2024 |
Exports:create_ClusterSystemplot_RLumCarlorun_MC_CW_IRSL_LOCrun_MC_CW_IRSL_TUNrun_MC_CW_OSL_DELOCrun_MC_ISO_DELOCrun_MC_ISO_LOCrun_MC_ISO_TUNrun_MC_LM_OSL_DELOCrun_MC_LM_OSL_LOCrun_MC_LM_OSL_TUNrun_MC_TL_DELOCrun_MC_TL_LOCrun_MC_TL_TUN
Dependencies:abindcodetoolsdoParallelforeachiteratorskhromamagrittrRcppRcppArmadilloscatterplot3d