RLumCarlo

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).

Last 30 days

This package has been downloaded 181 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 1 times.

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Last 365 days

This package has been downloaded 2,935 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Sep 11, 2024 with 38 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.