run_MC_TL_LOC: Run Monte-Carlo Simulation for TL (localized transitions)

In RLumCarlo: Monte-Carlo Methods for Simulating Luminescence Phenomena

Run Monte-Carlo Simulation for TL (localized transitions)

Description

Runs a Monte-Carlo (MC) simulation of thermoluminescence (TL) using the generalized one trap (GOT) model. Localized transitions refer to transitions which do not involve the conduction or valence band. These transitions take place between the ground state and an excited state of the trapped charge, and also involve an energy state of the recombination centre. The heating rate in this function is assumed to be 1 K/s.

Usage

run_MC_TL_LOC(
  s,
  E,
  times,
  b = 1,
  clusters = 10,
  n_filled = 100,
  r,
  method = "par",
  output = "signal",
  ...
)

Arguments

s	numeric (required): The frequency factor of the trap (s^-1)
E	numeric (required): Thermal activation energy of the trap (eV)
times	numeric (required): The sequence of temperature steps within the simulation (s). The default heating rate is set to 1 K/s. The final temperature is max(times) * b
b	numeric (with default): the heating rate in K/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_filled indicate absolute numbers of a system.
n_filled	integer (with default): The number of filled electron traps at the beginning of the simulation (dimensionless). Can be a vector of length(clusters), shorter values are recycled.
r	numeric (required): The localized retrapping ratio (dimensionless)
method	character (with default): Sequential 'seq' or parallel 'par'processing. In the parallel mode the function tries to run the simulation on multiple CPU cores (if available) with a positive effect on the computation time.
output	character (with default): output is either the 'signal' (the default) or 'remaining_e' (the remaining charges/electrons in the trap)
...	further arguments, such as cores to control the number of used CPU cores or verbose to silence the terminal

Details

The model

I_{LOC}(t) = -dn/dt = (s * exp(-E/(k_{B} * T))) * (n^2 / (r + n))

Where in the function:
E := the thermal activation energy (eV)
s := the frequency factor for the trap (s^-1)
t := time (s)
k_{B} := Boltzmann constant (8.617 x 10^-5 eV K^-1)
T := temperature (°C)
n := the instantaneous number of electrons
r := the retrapping ratio for localized transitions

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_TL_LOC(): Run Monte-Carlo Simulation for TL (localized 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

Examples

## the short example
run_MC_TL_LOC(
 s = 1e14,
 E = 0.9,
 times = 50:100,
 b = 1,
 method = "seq",
 clusters = 30,
 r = 1) %>%
plot_RLumCarlo()

## Not run: 
## the long (meaningful) example
results <- run_MC_TL_LOC(
 s = 1e14,
 E = 0.9,
 times = 50:100,
 method = "par",
 clusters = 100,
 r = 1)

## plot
plot_RLumCarlo(results)


## End(Not run)

RLumCarlo documentation built on Aug. 9, 2022, 1:06 a.m.