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The function provides a very particular analysis to correct the irradiation time while irradiating Al2O3:C chips in a luminescence reader.

Usage

analyse_Al2O3C_ITC(
  object,
  signal_integral = NULL,
  dose_points = c(2, 4, 8, 12, 16),
  recordType = c("OSL (UVVIS)"),
  method_control = NULL,
  verbose = TRUE,
  plot = TRUE,
  ...
)

Arguments

object

RLum.Analysis or list (required): results obtained from the measurement. Alternatively a list of RLum.Analysis objects can be provided to allow an automatic analysis

signal_integral

numeric (optional): signal integral, used for the signal and the background. If nothing is provided the full range is used. Argument can be provided as list.

dose_points

numeric (with default): vector with dose points, if dose points are repeated, only the general pattern needs to be provided. Default values follow the suggestions made by Kreutzer et al., 2018. Argument can be provided as list.

recordType

character (with default): input curve selection, which is passed to function get_RLum. To deactivate the automatic selection set the argument to NULL

method_control

list (optional): optional parameters to control the calculation. See details for further explanations

verbose

logical (with default): enable/disable verbose mode

plot

logical (with default): enable/disable plot output

...

further arguments that can be passed to the plot output

Value

Function returns results numerically and graphically:

———————————–
[ NUMERICAL OUTPUT ]
———————————–

RLum.Results-object

slot: @data

ElementTypeDescription
$datadata.framecorrection value and error
$tabledata.frametable used for plotting
$table_meandata.frametable used for fitting
$fitlm or nlsthe fitting as returned by the function plot_GrowthCurve

slot: @info

The original function call

————————
[ PLOT OUTPUT ]
————————

  • A dose response curve with the marked correction values

Details

Background: Due to their high dose sensitivity Al2O3:C chips are usually irradiated for only a very short duration or under the closed beta-source within a luminescence reader. However, due to its high dose sensitivity, during the movement towards the beta-source, the pellet already receives and non-negligible dose. Based on measurements following a protocol suggested by Kreutzer et al., 2018, a dose response curve is constructed and the intersection (absolute value) with the time axis is taken as real irradiation time.

method_control

To keep the generic argument list as clear as possible, arguments to allow a deeper control of the method are all preset with meaningful default parameters and can be handled using the argument method_control only, e.g., method_control = list(fit.method = "LIN"). Supported arguments are:

ARGUMENTFUNCTIONDESCRIPTION
modeplot_GrowthCurveas in plot_GrowthCurve; sets the mode used for fitting
fit.methodplot_GrowthCurveas in plot_GrowthCurve; sets the function applied for fitting

Function version

0.1.1

How to cite

Kreutzer, S., 2024. analyse_Al2O3C_ITC(): Al2O3 Irradiation Time Correction Analysis. Function version 0.1.1. 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., 2024. Luminescence: Comprehensive Luminescence Dating Data Analysis. R package version 0.9.26. https://r-lum.github.io/Luminescence/

References

Kreutzer, S., Martin, L., Guérin, G., Tribolo, C., Selva, P., Mercier, N., 2018. Environmental Dose Rate Determination Using a Passive Dosimeter: Techniques and Workflow for alpha-Al2O3:C Chips. Geochronometria 45, 56-67. doi: 10.1515/geochr-2015-0086

See also

Author

Sebastian Kreutzer, Institute of Geography, Heidelberg University (Germany) , RLum Developer Team

Examples


##load data
data(ExampleData.Al2O3C, envir = environment())

##run analysis
analyse_Al2O3C_ITC(data_ITC)
#> 
#> [analyse_Al2O3C_ITC()]
#> 
#>  Used fit:		EXP
#>  Time correction value:	2.587 ± 0.034
#> 

#> 
#>  [RLum.Results-class]
#> 	 originator: analyse_Al2O3C_ITC()
#> 	 data: 4
#>  	 .. $data : data.frame
#> 	 .. $table : data.frame
#> 	 .. $table_mean : data.frame
#> 	 .. $fit : nls
#> 	 additional info elements:  1