Calculate the Lx/Tx ratio for a given set of TL curves -beta version-
Source:R/calc_TLLxTxRatio.R
calc_TLLxTxRatio.Rd
Calculate Lx/Tx ratio for a given set of TL curves.
Usage
calc_TLLxTxRatio(
Lx.data.signal,
Lx.data.background = NULL,
Tx.data.signal,
Tx.data.background = NULL,
signal.integral.min,
signal.integral.max
)
Arguments
- Lx.data.signal
RLum.Data.Curve or data.frame (required): TL data (x = temperature, y = counts) (TL signal)
- Lx.data.background
RLum.Data.Curve or data.frame (optional): TL data (x = temperature, y = counts). If no data are provided no background subtraction is performed.
- Tx.data.signal
RLum.Data.Curve or data.frame (required): TL data (x = temperature, y = counts) (TL test signal)
- Tx.data.background
RLum.Data.Curve or data.frame (optional): TL data (x = temperature, y = counts). If no data are provided no background subtraction is performed.
- signal.integral.min
integer (required): channel number for the lower signal integral bound (e.g.
signal.integral.min = 100
)- signal.integral.max
integer (required): channel number for the upper signal integral bound (e.g.
signal.integral.max = 200
)
Value
Returns an S4 object of type RLum.Results.
Slot data
contains a list with the following structure:
Details
Uncertainty estimation
The standard errors are calculated using the following generalised equation:
$$SE_{signal} = abs(Signal_{net} * BG_f /BG_{signal})$$
where \(BG_f\) is a term estimated by calculating the standard deviation of the sum of the \(L_x\) background counts and the sum of the \(T_x\) background counts. However, if both signals are similar the error becomes zero.
Note
This function has still BETA status! Please further note that a similar
background for both curves results in a zero error and is therefore set to NA
.
Author
Sebastian Kreutzer, Institute of Geography, Heidelberg University (Germany)
Christoph Schmidt, University of Bayreuth (Germany)
, RLum Developer Team
How to cite
Kreutzer, S., Schmidt, C., 2024. calc_TLLxTxRatio(): Calculate the Lx/Tx ratio for a given set of TL curves -beta version-. Function version 0.3.3. 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., 2024. Luminescence: Comprehensive Luminescence Dating Data Analysis. R package version 0.9.26. https://r-lum.github.io/Luminescence/
Examples
##load package example data
data(ExampleData.BINfileData, envir = environment())
##convert Risoe.BINfileData into a curve object
temp <- Risoe.BINfileData2RLum.Analysis(TL.SAR.Data, pos = 3)
Lx.data.signal <- get_RLum(temp, record.id=1)
Lx.data.background <- get_RLum(temp, record.id=2)
Tx.data.signal <- get_RLum(temp, record.id=3)
Tx.data.background <- get_RLum(temp, record.id=4)
signal.integral.min <- 210
signal.integral.max <- 230
output <- calc_TLLxTxRatio(
Lx.data.signal,
Lx.data.background,
Tx.data.signal,
Tx.data.background,
signal.integral.min,
signal.integral.max)
get_RLum(output)
#> LnLx LnLx.BG TnTx TnTx.BG net_LnLx net_LnLx.Error net_TnTx net_TnTx.Error
#> 1 257042 4068 82298 2943 252974 49468.92 79355 21449.72
#> LxTx LxTx.Error
#> 1 3.187877 1.485073