Calculates the Thermal Lifetime using the Arrhenius equation
Calculates the Thermal Lifetime using the Arrhenius equation
The function calculates the thermal lifetime of charges for given E (in eV), s (in 1/s) and T (in deg. C.) parameters. The function can be used in two operational modes:
calc_ThermalLifetime( E, s, T =20, output_unit ="Ma", profiling =FALSE, profiling_config =NULL, verbose =TRUE, plot =TRUE,...)
Arguments
E: numeric (required ): vector of trap depths in eV, if profiling = TRUE only the first two elements are considered
s: numeric (required ): vector of frequency factor in 1/s, if profiling = TRUE only the first two elements are considered
T: numeric (with default): temperature in deg. C for which the lifetime(s) will be calculated. A vector can be provided.
output_unit: character (with default): output unit of the calculated lifetimes, accepted entries are: "Ma", "ka", "a", "d", "h", "min", "s"
profiling: logical (with default): this option allows to estimate uncertainties based on given E and s parameters and their corresponding standard error (cf. details and examples section)
profiling_config: list (optional): allows to set configuration parameters used for the profiling (and only have an effect here). Supported parameters are:
n (number of MC runs),
E.distribution (distribution used for the re-sampling for E) and
s.distribution (distribution used for the re-sampling for s).
Currently only the normal distribution is supported (e.g., profiling_config = list(E.distribution = "norm")
verbose: logical (with default): enable/disable output to the terminal.
plot: logical (with default): enable/disable the plot output, currently only in combination with profiling = TRUE.
...: further arguments that can be passed in combination with the plot output. Standard plot parameters are supported (plot.default )
Returns
A RLum.Results object is returned a along with a plot (for profiling = TRUE). The output object contain the following slots:
@data
Object
Type
Description
lifetimes
array or numeric
calculated lifetimes
profiling_matrix
matrix
profiling matrix used for the MC runs
@info
Object
Type
Description
call
call
the original function call
Details
Mode 1 ‘(profiling = FALSE)’
An arbitrary set of input parameters (E, s, T) can be provided and the function calculates the thermal lifetimes using the Arrhenius equation for all possible combinations of these input parameters. An array with 3-dimensions is returned that can be used for further analyses or graphical output (see example 1)
Mode 2 ‘(profiling = TRUE)’
This mode tries to profile the variation of the thermal lifetime for a chosen temperature by accounting for the provided E and s parameters and their corresponding standard errors, e.g., E = c(1.600, 0.001)
The calculation based on a Monte Carlo simulation, where values are sampled from a normal distribution (for E and s).
Used equation (Arrhenius equation)
τ=1/sexp(E/kT)
where: τ in s as the mean time an electron spends in the trap for a given T, E trap depth in eV, s the frequency factor in 1/s, T the temperature in K and k the Boltzmann constant in eV/K (cf. Furetta, 2010).
Note
The profiling is currently based on re-sampling from a normal distribution, this distribution assumption might be, however, not valid for given E and s parameters.
Function version
0.1.0
Examples
##EXAMPLE 1##calculation for two trap-depths with similar frequency factor for different temperaturesE <- c(1.66,1.70)s <-1e+13T <-10:20temp <- calc_ThermalLifetime( E = E, s = s, T = T, output_unit ="Ma")graphics::contour(x = E, y = T, z = temp$lifetimes[1,,], ylab ="Temperature [\u00B0C]", xlab ="Trap depth [eV]", main ="Thermal Lifetime Contour Plot")mtext(side =3,"(values quoted in Ma)")##EXAMPLE 2##profiling of thermal life time for E and s and their standard errorE <- c(1.600,0.003)s <- c(1e+13,1e+011)T <-20calc_ThermalLifetime( E = E, s = s, T = T, profiling =TRUE, output_unit ="Ma")
How to cite
Kreutzer, S., 2025. calc_ThermalLifetime(): Calculates the Thermal Lifetime using the Arrhenius equation. Function version 0.1.0. In: Kreutzer, S., Burow, C., Dietze, M., Fuchs, M.C., Schmidt, C., Fischer, M., Friedrich, J., Mercier, N., Philippe, A., Riedesel, S., Autzen, M., Mittelstrass, D., Gray, H.J., Galharret, J., Colombo, M., Steinbuch, L., Boer, A.d., 2025. Luminescence: Comprehensive Luminescence Dating Data Analysis. R package version 1.0.1. https://r-lum.github.io/Luminescence/
References
Furetta, C., 2010. Handbook of Thermoluminescence, Second Edition. World Scientific.
See Also
graphics::matplot , stats::rnorm , get_RLum
Author(s)
Sebastian Kreutzer, Institute of Geography, Heidelberg University (Germany) , RLum Developer Team