calc_WodaFuchs2008 {Luminescence} | R Documentation |
Obtain the equivalent dose using the approach by Woda and Fuchs 2008
Description
The function generates a histogram-like reorganisation of the data, to assess counts per bin. The log-transformed counts per bin are used to calculate the second derivative of the data (i.e., the curvature of the curve) and to find the central value of the bin hosting the distribution maximum. A normal distribution model is fitted to the counts per bin data to estimate the dose distribution parameters. The uncertainty of the model is estimated based on all input equivalent doses smaller that of the modelled central value.
Usage
calc_WodaFuchs2008(data, breaks = NULL, plot = TRUE, ...)
Arguments
data |
data.frame or RLum.Results object (required):
for data.frame: two columns: De ( |
breaks |
numeric:
Either number or locations of breaks. See |
plot |
logical (with default): enable plot output. |
... |
Further plot arguments passed to the function. |
Function version
0.2.0
How to cite
Kreutzer, S., Dietze, M., 2024. calc_WodaFuchs2008(): Obtain the equivalent dose using the approach by Woda and Fuchs 2008. Function version 0.2.0. 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., 2024. Luminescence: Comprehensive Luminescence Dating Data Analysis. R package version 0.9.24. https://CRAN.R-project.org/package=Luminescence
Author(s)
Sebastian Kreutzer, Institute of Geography, Heidelberg University (Germany),
Michael Dietze, GFZ Potsdam (Germany)
, RLum Developer Team
References
Woda, C., Fuchs, M., 2008. On the applicability of the leading edge method to obtain equivalent doses in OSL dating and dosimetry. Radiation Measurements 43, 26-37.
See Also
calc_FuchsLang2001, calc_CentralDose
Examples
## read example data set
data(ExampleData.DeValues, envir = environment())
results <- calc_WodaFuchs2008(
data = ExampleData.DeValues$CA1,
xlab = expression(paste(D[e], " [Gy]"))
)