Abstract
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.
Highlights
Light is perhaps the most basic everyday experience
Earth Sciences and archaeology determine the timing of past events with a technique called luminescence dating
Monte Carlo (MC) methods allow setting up flexible and simple systems to simulate luminescence with a finite number of charge carriers. This enables users to address effects usually observed for nano-dosimetric systems, and it provides insight into the stochastic uncertainty structure
Summary
Light is perhaps the most basic everyday experience. Light emission that is not caused by the heating of a substance is called luminescence or ‘cold light’. RLumCarlo employs simple (energy-band) models that describe the physical processes in, e.g., the quartz crystal, to simulate xy-curves (luminescence curves). In RLumCarlo, the implemented energy-band models can simulate only isolated effects (e.g., a single curve, see below), but the package design allows a combination in the form of clusters.
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