RLum.Analysis object including growth curve fitting.
analyse_SAR.CWOSL(object, signal.integral.min, signal.integral.max, background.integral.min, background.integral.max, rejection.criteria = NULL, dose.points = NULL, mtext.outer, plot = TRUE, plot.single = FALSE, ...)RLum.Analysis (required): input
object containing data for analysis, alternatively a list of
RLum.Analysis objects can be provided.list (with default): provide a named list
and set rejection criteria in percentage for further calculation. Can be a list in
a list, if object is of type listAllowed arguments are recycling.ratio, recuperation.rate,
palaeodose.error, testdose.error and exceed.max.regpoint = TRUE/FALSE.
Example: rejection.criteria = list(recycling.ratio = 10).
Per default all numerical values are set to 10, exceed.max.regpoint = TRUE.
Every criterium can be set to NA. In this value are calculated, but not considered, i.e.
the RC.Status becomes always 'OK'
logical (with default): enables or disables plot
output.logical (with default) or
numeric (optional): single plot output (TRUE/FALSE) to
allow for plotting the results in single plot windows. If a numerice vector
is provided the plots can be selected individually, i.e. plot.single =
c(1,2,3,4) will plot the TL and Lx, Tx curves but not the legend (5) or the
growth curve (6), (7) and (8) belong to rejection criteria plots. Requires
plot = TRUE.plot_GrowthCurve or calc_OSLLxTxRatio
(supported: background.count.distribution, sigmab, sig0). Please note that
if you consider to use the early light subtraction method you should provide your own sigmab
value!RLum.Results object is
returned containing the following elements:
returned containing the following elements:The output should be accessed using the function
get_RLum.
background.count.distribution and sigmab, which will be passed to the function
calc_OSLLxTxRatio.Argument object is of type list
If the argument object is of type list containing only
RLum.Analysis objects, the function re-calls itself as often as elements
are in the list. This is usefull if an entire measurement wanted to be analysed without
writing separate for-loops. To gain in full control of the parameters (e.g., dose.points) for
every aliquot (corresponding to one RLum.Analysis object in the list), in
this case the arguments can be provided as list. This list should
be of similar length as the list provided with the argument object, otherwise the function
will create an own list of the requested lenght. Function output will be just one single RLum.Results object.
Please be careful when using this option. It may allow a fast an efficient data analysis, but the function may also break with an unclear error message, due to wrong input data.
Working with IRSL data
The function was originally designed to work just for 'OSL' curves, following the principles of the SAR protocol. An IRSL measurement protocol may follow this procedure, e.g., post-IR IRSL protocol (Thomsen et al., 2008). Therefore this functions has been enhanced to work with IRSL data, however, the function is only capable of analysing curves that follow the SAR protocol structure, i.e., to analyse a post-IR IRSL protocol, curve data have to be pre-selected by the user to fit the standards of the SAR protocol, i.e., Lx,Tx,Lx,Tx and so on.
Example: Imagine the measurement contains pIRIR50 and pIRIR225 IRSL curves. Only one curve type can be analysed at the same time: The pIRIR50 curves or the pIRIR225 curves.
Supported rejection criteria ‘recycling.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).
‘testdose.error’: set the allowed error for the testdose, which per default should not exceed 10%. The testdose error is calculated as Tx_net.error/Tx_net.
‘palaeodose.error’: set the allowed error for the De value, which per default should not exceed 10%.
Duller, G., 2003. Distinguishing quartz and feldspar in single grain luminescence measurements. Radiation Measurements, 37 (2), 161-165.
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.
Thomsen, K.J., Murray, A.S., Jain, M., Boetter-Jensen, L., 2008. Laboratory fading rates of various luminescence signals from feldspar-rich sediment extracts. Radiation Measurements 43, 1474-1486. doi:10.1016/j.radmeas.2008.06.002
calc_OSLLxTxRatio, plot_GrowthCurve,
RLum.Analysis, RLum.Results
get_RLum
##load data
##ExampleData.BINfileData contains two BINfileData objects
##CWOSL.SAR.Data and TL.SAR.Data
data(ExampleData.BINfileData, envir = environment())
##transform the values from the first position in a RLum.Analysis object
object <- Risoe.BINfileData2RLum.Analysis(CWOSL.SAR.Data, pos=1)
##perform SAR analysis and set rejection criteria
results <- analyse_SAR.CWOSL(
object = object,
signal.integral.min = 1,
signal.integral.max = 2,
background.integral.min = 900,
background.integral.max = 1000,
log = "x",
fit.method = "EXP",
rejection.criteria = list(
recycling.ratio = 10,
recuperation.rate = 10,
testdose.error = 10,
palaeodose.error = 10,
exceed.max.regpoint = TRUE)
)
##show De results
get_RLum(results)
##show LnTnLxTx table
get_RLum(results, data.object = "LnLxTnTx.table")
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