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Published July 5, 2020 | Version 0.1.6
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RLumCarlo: Monte-Carlo Methods for Simulating Luminescence Phenomena

  • 1. Chair of Geomorphology, University of Bayreuth, University of Bayreuth, Germany
  • 2. Department of Geography and Earth Sciences, Aberystwyth University
  • 3. Physics Department, McDaniel College, Westminster, MD 21157, USA
  • 4. Institute of Earth Surface Dynamics, University of Lausanne, Institute of Earth Surface Dynamics, University of Lausanne 1015 Lausanne, Switzerland
  • 5. Université de Paris, Institut de Physique du Globe de Paris, CNRS, 75005 Paris, France

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) <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).

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R-Lum/RLumCarlo-v0.1.6.zip

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Additional details

Related works

Funding

European Commission
CREDit - Chronological REference Datasets and Sites (CREDit) towards improved accuracy and precision in luminescence-based chronologies 844457