RLumCarlo: Simulating Cold Light using Monte Carlo Methods

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Ressource 1Download: Kreutzer2021.pdf (1802.38 [Ko])
State: Public
Version: Final published version
License: CC BY 4.0
Serval ID
serval:BIB_CA93EA05212F
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
RLumCarlo: Simulating Cold Light using Monte Carlo Methods
Journal
The R Journal
Author(s)
Kreutzer Sebastian, Friedrich Johannes, Pagonis Vasilis, Laag Christian, Rajovic Ena, Schmidt Christoph
ISSN
2073-4859
Publication state
Published
Issued date
2021
Peer-reviewed
Oui
Volume
13
Number
1
Pages
351
Language
english
Abstract
The luminescence phenomena of insulators and semiconductors (e.g., natural minerals such as quartz) have various application domains. For instance, Earth Sciences and archaeology exploit luminescence as a dating method. Herein, we present the R package RLumCarlo implementing sets of luminescence models to be simulated with Monte Carlo (MC) methods. MC methods make a powerful ally to all kinds of simulation attempts involving stochastic processes. Luminescence production is such a stochastic process in the form of charge (electron-hole pairs) interaction within insulators and semiconductors. To simulate luminescence-signal curves, we distribute single and independent MC processes to virtual MC clusters. RLumCarlo comes with a modularized design and consistent user interface: (1) C++ functions represent the modeling core and implement models for specific stimulations modes. (2) R functions give access to combinations of models and stimulation modes, start the simulation and render terminal and graphical feedback. The combination of MC clusters supports the simulation of complex luminescence phenomena.
Keywords
Statistics, Probability and Uncertainty, Numerical Analysis, Statistics and Probability
Open Access
Yes
Create date
17/05/2022 11:29
Last modification date
24/12/2022 6:44
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