analyse_TL.MAAD: MAAD protocol for TL dating

Description Usage Arguments Details Value Author(s) References See Also Examples

View source: R/analyse_TL.MAAD.R

Description

Function to estimate the ED in TL dating using the MAAD protocol.
It provides an estimation of the palaeodose (Q) and/or the supralinearity correction (I). The equivalent dose (ED) is estimated by the addition of Q and I.
See details for more information.

Usage

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analyse_TL.MAAD(object, eval.Tmin, eval.Tmax,
  rejection.criteria = list(testdose.error = 10, paleodose.error = 10),
  fitting.parameters = list(fit.method = "LIN", fit.weighted = FALSE,
  fit.use.slope = FALSE, fit.aDoses.min = 0, fit.aDoses.max = NA, fit.rDoses.min
  = 0, fit.rDoses.max = NA), plotting.parameters = list(plot.Tmin = 0,
  plot.Tmax = NA, no.plot = FALSE))

Arguments

object

TLum.Analysis (required): object containing the TL curves used for the ED estimation.

eval.Tmin

integer (required): Temperature ( <c2><b0>C) of the lower boundary for the signal integration.

eval.Tmax

integer (required): Temperature ( <c2><b0>C) of the upper boundary for the signal integration.

rejection.criteria

list (with default): list containing the rejection criteria (in %). See details.

fitting.parameters

list (with default): list containing the fitting parameters. See details.

plotting.parameters

list (with default): list containing the plotting parameters. See details.

Details

This function estimates the equivalent dose for the thermoluminescence dating with the MAAD protocol. It can provide an estimation of the palaeodose (Q) and the supralinearity correction (I) simultaniously or separately. These are estimated using the growth curve approach (QC) (Aitken, 1985) and the dose plateau approach (DP). Both approaches should provide a similar result. The equivalent dose is estimated by the addition of Q and I
The Lx/Tx matrix is estimated using calc_TL.LxTx.
The average TL curves for each dose step are estimate using calc_TL.MAAD.average.
The plateau test values are estimated using calc_TL.plateau.

Rejection criteria
The rejection criteria are:

testdose.error

numeric: Maximum error accepted on Tx (in %).

paleodose.error

numeric: Maximum error accepted on Lx (in %).

Fitting parameters
The fitting parameters are:

method

character: Fitting method (LIN, EXP, EXP+LIN or EXP+EXP).

fit.weighted

logical: If the fitting is weighted or not.

fit.use.slope

logical: If the slope of the Q growth curve is reused for the supralinearity correction.

fit.aDoses.min

numeric: Lowest additive dose used for the fitting.

fit.aDoses.max

numeric: Highest additive dose used for the fitting.

fit.rDoses.min

numeric: Lowest regenerative dose used for the fitting.

fit.rDoses.max

numeric: Highest regenerative dose used for the fitting.

See also calc_TL.MAAD.fit.Q and calc_TL.MAAD.fit.I.

Plotting parameters
The plotting parameters are:

plot.Tmin

numeric: Lowest temperature plotted.

plot.Tmax

numeric: Highest temperature plotted.

no.plot

logical: If TRUE, the results will not be plotted.

See also plot_TL.MAAD.

Value

The results are plotted using plot_TL.MAAD.

The function also provides a TLum.Results containing:

De.GC

list: Results obtained with the dose plateau approach and their uncertainties (De, De.error, Q, Q.error, I, I.error)

De.DP

list: Results obtained with the growth curve approach and their uncertainties (De, De.error, Q, Q.error, I, I.error)

LnLxTnTx.table

matrix: Lx/Tx values

RC.Status

character: The acceptance result.

Author(s)

David Strebler, University of Cologne (Germany)

References

Aitken, M.J. (1985) Thermoluminescence Dating, Academic Press, London

See Also

calc_TL.LxTx, calc_TL.plateau, calc_TL.MAAD.average, calc_TL.MAAD.separate, calc_TL.MAAD.fit.I, calc_TL.MAAD.fit.Q, analyse_TL.SAR.

Examples

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##load data

##perform analysis

TLdating documentation built on May 30, 2017, 12:10 a.m.