Luminescence (version 1.3.0)

calc_TLLxTxRatio: Calculate the Lx/Tx ratio for a given set of TL curves -beta version-

Description

Calculate Lx/Tx ratio for a given set of TL curves.

Usage

calc_TLLxTxRatio(
  Lx.data.signal,
  Lx.data.background = NULL,
  Tx.data.signal = NULL,
  Tx.data.background = NULL,
  signal_integral = NULL,
  integral_input = c("channel", "measurement"),
  ...
)

Value

Returns an S4 object of type RLum.Results. Slot data contains a list with the following structure:

$ LxTx.table
.. $ LnLx
.. $ LnLx.BG
.. $ TnTx
.. $ TnTx.BG
.. $ Net_LnLx
.. $ Net_LnLx.Error
.. $ SN_RATIO_LnLx
.. $ SN_RATIO_TnTx
.. $ LxTx
.. $ LxTx.Error

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

integer (required): vector of channels for the signal integral.

integral_input

character (with default): input type for signal_integral, one of "channel" (default) or "measurement". If set to "measurement", the best matching channels corresponding to the given temperature range are selected.

...

currently not used.

Function version

0.3.7

Author

Sebastian Kreutzer, F2.1 Geophysical Parametrisation/Regionalisation, LIAG - Institute for Applied Geophysics (Germany)
Christoph Schmidt, University of Bayreuth (Germany) , RLum Developer Team

How to cite

Kreutzer, S., Schmidt, C., 2026. calc_TLLxTxRatio(): Calculate the Lx/Tx ratio for a given set of TL curves -beta version-. Function version 0.3.7. 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., Bluszcz, A., 2026. Luminescence: Comprehensive Luminescence Dating Data Analysis. R package version 1.3.0. https://r-lum.github.io/Luminescence/

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.

See Also

RLum.Results, analyse_SAR.TL

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 <- 210:230

output <- calc_TLLxTxRatio(
 Lx.data.signal,
 Lx.data.background,
 Tx.data.signal,
 Tx.data.background,
 signal_integral)
get_RLum(output)