run_MC_LM_OSL_DELOC {RLumCarlo} | R Documentation |
Run Monte-Carlo Simulation for LM-OSL (delocalized transitions)
Description
Runs a Monte-Carlo (MC) simulation of linearly modulated optically stimulated luminescence (LM-OSL) using the one trap one recombination centre (OTOR) model. Delocalised refers to involvement of the conduction band.
Usage
run_MC_LM_OSL_DELOC(
A,
times,
clusters = 10,
N_e = 200,
n_filled = N_e,
R,
method = "par",
output = "signal",
...
)
Arguments
A |
numeric (required): The optical excitation rate from trap to conduction band (s^-1) |
times |
numeric (required): The sequence of time steps within the simulation (s) |
clusters |
numeric (with default): The number of created clusters for the MC runs. The input can be the output of create_ClusterSystem. In that case |
N_e |
integer (with default): The total number of electron traps available (dimensionless). Can be a vector of |
n_filled |
integer (with default): The number of filled electron traps at the beginning
of the simulation (dimensionless). Can be a vector of |
R |
numeric (required): The retrapping ratio for delocalized transitions |
method |
character (with default): Sequential |
output |
character (with default): output is either the |
... |
further arguments, such as |
Details
The model
I_{DELOC}(t) = -dn/dt = A * t/P * (n^2 / (N*R + n(1-R)))
Where in the function:
t := time (s)
A := the optical excitation rate from trap to conduction band (1/s)
n := n_filled
, the instantaneous number of electrons
R := the retrapping ratio for delocalized transitions
N := N_e
, the total number of electron traps available (dimensionless)
P := total stimulation time (s)
Value
This function returns an object of class RLumCarlo_Model_Output
which
is a list consisting of an array with dimension length(times) x clusters
and a numeric time vector.
Function version
0.1.0
How to cite
Kreutzer, S., 2022. run_MC_LM_OSL_DELOC(): Run Monte-Carlo Simulation for LM-OSL (delocalized transitions). Function version 0.1.0. In: Friedrich, J., Kreutzer, S., Pagonis, V., Schmidt, C., 2022. RLumCarlo: Monte-Carlo Methods for Simulating Luminescence Phenomena. R package version 0.1.9. https://CRAN.R-project.org/package=RLumCarlo
Author(s)
Sebastian Kreutzer, Institute of Geography, Heidelberg University (Germany)
References
Pagonis, V., Friedrich, J., Discher, M., Müller-Kirschbaum, A., Schlosser, V., Kreutzer, S., Chen, R. and Schmidt, C., 2019. Excited state luminescence signals from a random distribution of defects: A new Monte Carlo simulation approach for feldspar. Journal of Luminescence 207, 266–272. doi:10.1016/j.jlumin.2018.11.024
Further reading
Chen, R., McKeever, S.W.S., 1997. Theory of Thermoluminescence and Related Phenomena. WORLD SCIENTIFIC. doi:10.1142/2781
Examples
run_MC_LM_OSL_DELOC(
A = 0.12,
R = 0.1,
times = 0:50,
method = "seq",
clusters = 10) %>%
plot_RLumCarlo(legend = TRUE)