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

```
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 = "", ...)
```

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

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

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

data.frame containing De-values and further parameters

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

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

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

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

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)

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.

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

# 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")) # }