Luminescence (version 0.8.6)

analyse_SAR.TL: Analyse SAR TL measurements

Description

The function performs a SAR TL analysis on a '>RLum.Analysis object including growth curve fitting.

Usage

analyse_SAR.TL(object, object.background, signal.integral.min,
  signal.integral.max, integral_input = "channel",
  sequence.structure = c("PREHEAT", "SIGNAL", "BACKGROUND"),
  rejection.criteria = list(recycling.ratio = 10, recuperation.rate =
  10), dose.points, log = "", ...)

Arguments

object

RLum.Analysis-class: input object containing data for analysis

object.background

currently not used

signal.integral.min

integer (required): requires the channel number for the lower signal integral bound (e.g. signal.integral.min = 100)

signal.integral.max

integer (required): requires the channel number for the upper signal integral bound (e.g. signal.integral.max = 200)

integral_input

character (with default): defines the input for the the arguments signal.integral.min and signal.integral.max. These limits can be either provided 'channel' number (the default) or 'temperature'. If 'temperature' is chosen the best matching channel is selected.

sequence.structure

vector character (with default): specifies the general sequence structure. Three steps are allowed ("PREHEAT", "SIGNAL", "BACKGROUND"), in addition a parameter "EXCLUDE". This allows excluding TL curves which are not relevant for the protocol analysis. (Note: None TL are removed by default)

rejection.criteria

list (with default): list containing rejection criteria in percentage for the calculation.

dose.points

numeric (optional): option set dose points manually

log

character (with default): a character string which contains "x" if the x axis is to be logarithmic, "y" if the y axis is to be logarithmic and "xy" or "yx" if both axes are to be logarithmic. See plot.default).

...

further arguments that will be passed to the function plot_GrowthCurve

Value

A plot (optional) and an '>RLum.Results object is returned containing the following elements:

De.values

data.frame containing De-values and further parameters

LnLxTnTx.values

data.frame of all calculated Lx/Tx values including signal, background counts and the dose points.

rejection.criteria

data.frame with values that might by used as rejection criteria. NA is produced if no R0 dose point exists.

note: the output should be accessed using the function get_RLum

Function version

0.2.0 (2018-01-21 17:22:38)

How to cite

Kreutzer, S. (2018). analyse_SAR.TL(): Analyse SAR TL measurements. Function version 0.2.0. In: Kreutzer, S., Burow, C., Dietze, M., Fuchs, M.C., Schmidt, C., Fischer, M., Friedrich, J. (2018). Luminescence: Comprehensive Luminescence Dating Data Analysis. R package version 0.8.6. https://CRAN.R-project.org/package=Luminescence

Details

This function performs a SAR TL analysis on a set of curves. The SAR procedure in general is given by Murray and Wintle (2000). For the calculation of the Lx/Tx value the function calc_TLLxTxRatio is used.

Provided rejection criteria

[recyling.ratio]: calculated for every repeated regeneration dose point.

[recuperation.rate]: recuperation rate calculated by comparing the Lx/Tx values of the zero regeneration point with the Ln/Tn value (the Lx/Tx ratio of the natural signal). For methodological background see Aitken and Smith (1988)

References

Aitken, M.J. and Smith, B.W., 1988. Optical dating: recuperation after bleaching. Quaternary Science Reviews 7, 387-393.

Murray, A.S. and Wintle, A.G., 2000. Luminescence dating of quartz using an improved single-aliquot regenerative-dose protocol. Radiation Measurements 32, 57-73.

See Also

calc_TLLxTxRatio, plot_GrowthCurve, '>RLum.Analysis, '>RLum.Results, get_RLum

Examples

# NOT RUN {
##load data
data(ExampleData.BINfileData, envir = environment())

##transform the values from the first position in a RLum.Analysis object
object <- Risoe.BINfileData2RLum.Analysis(TL.SAR.Data, pos=3)

##perform analysis
analyse_SAR.TL(object,
               signal.integral.min = 210,
               signal.integral.max = 220,
               log = "y",
               fit.method = "EXP OR LIN",
               sequence.structure = c("SIGNAL", "BACKGROUND"))

# }