Example data set for fading measurements of the IR50, IR100, IR150 and IR225 feldspar signals of sample UNIL/NB123. It further contains regular equivalent dose measurement data of the same sample, which can be used to apply a fading correction to.

Format

A list with two elements, each containing a further list of data.frames containing the data on the fading and equivalent dose measurements:

$fading.data: A named list of data.frames, each having three named columns (LxTx, LxTx.error, timeSinceIrradiation). ..$IR50: Fading data of the IR50 signal. ..$IR100: Fading data of the IR100 signal. ..$IR150: Fading data of the IR150 signal. ..$IR225: Fading data of the IR225 signal. $equivalentDose.data: A named of data.frames, each having three named columns (dose, LxTx, LxTx.error). ..$IR50: Equivalent dose measurement data of the IR50 signal. ..$IR100: Equivalent dose measurement data of the IR100 signal. ..$IR150: Equivalent dose measurement data of the IR150 signal. ..$IR225: Equivalent dose measurement data of the IR225 signal.

Source

These data were kindly provided by Georgina E. King. Detailed information on the sample UNIL/NB123 can be found in the reference given below. The raw data can be found in the accompanying supplementary information.

References

King, G.E., Herman, F., Lambert, R., Valla, P.G., Guralnik, B., 2016. Multi-OSL-thermochronometry of feldspar. Quaternary Geochronology 33, 76-87. doi:10.1016/j.quageo.2016.01.004

Details

Lab:University of Lausanne
Lab-Code:UNIL/NB123
Location:Namche Barwa (eastern Himalayas)
Material:Coarse grained (180-212 microns) potassium feldspar
Units:Values are given in seconds
Lab Dose Rate:Dose rate of the beta-source at measurement ca. 0.1335 +/- 0.004 Gy/s
Environmental Dose Rate:7.00 +/- 0.92 Gy/ka (includes internal dose rate)

Examples


## Load example data
data("ExampleData.Fading", envir = environment())

## Get fading measurement data of the IR50 signal
IR50_fading <- ExampleData.Fading$fading.data$IR50
head(IR50_fading)
#>    LxTx LxTx.error timeSinceIrradiation
#> 1 0.980     0.0490                381.6
#> 2 0.952     0.0476              12178.8
#> 3 0.924     0.0462              18183.6
#> 4 0.912     0.0456              30178.8
#> 5 0.898     0.0449              54172.8
#> 6 0.974     0.0487                378.0

## Determine g-value and rho' for the IR50 signal
IR50_fading.res <- analyse_FadingMeasurement(IR50_fading)

#> 
#> [analyse_FadingMeasurement()]
#> 
#>  n.MC:	100
#>  tc:	3.78e+02 s
#> ---------------------------------------------------
#> T_0.5 interpolated:	NA
#> T_0.5 predicted:	4e+11
#> g-value:		5.18 ± 0.84 (%/decade)
#> g-value (norm. 2 days):	6.01 ± 0.86 (%/decade)
#> ---------------------------------------------------
#> rho':			3.92e-06 ± 5.53e-07
#> log10(rho'):		-5.41 ± 0.06
#> ---------------------------------------------------

## Show g-value and rho' results
gval <- get_RLum(IR50_fading.res)
rhop <- get_RLum(IR50_fading.res, "rho_prime")

gval
#>        FIT     MEAN        SD  Q_0.025   Q_0.16   Q_0.84  Q_0.975  TC
#> x 5.182106 5.233444 0.8372966 3.687753 4.405572 6.094602 6.879693 378
#>   G_VALUE_2DAYS G_VALUE_2DAYS.ERROR T_0.5_INTERPOLATED T_0.5_PREDICTED
#> x      6.010655           0.8563702                 NA    395648134315
#>   T_0.5_PREDICTED.LOWER T_0.5_PREDICTED.UPPER
#> x           18339400088           18339400088
#>                                  UID
#> x 2024-02-27-01:36.0.772521511185914
rhop
#>           MEAN           SD      Q_0.025       Q_0.16       Q_0.84      Q_0.975
#> 1 3.921821e-06 5.528297e-07 3.031493e-06 3.377133e-06 4.454633e-06 4.952239e-06

## Get LxTx values of the IR50 DE measurement
IR50_De.LxTx <- ExampleData.Fading$equivalentDose.data$IR50

## Calculate the De of the IR50 signal
IR50_De <- plot_GrowthCurve(IR50_De.LxTx,
                                mode = "interpolation",
                                fit.method = "EXP")
#> [plot_GrowthCurve()] Fit: EXP (interpolation) | De = 977.38 | D01 = 4022.47


## Extract the calculated De and its error
IR50_De.res <- get_RLum(IR50_De)
De <- c(IR50_De.res$De, IR50_De.res$De.Error)

## Apply fading correction (age conversion greatly simplified)
IR50_Age <- De / 7.00
IR50_Age.corr <- calc_FadingCorr(IR50_Age, g_value = IR50_fading.res)
#> 
#> 
#> [calc_FadingCorr()]
#> 
#>  >> Fading correction according to Huntley & Lamothe (2001)
#> 
#>  .. used g-value:	5.182 ± 0.837 %/decade
#>  .. used tc:		1.198e-08 ka
#>  .. used kappa:		0.0225 ± 0.0036
#>  ----------------------------------------------
#>  seed: 			NA
#>  n.MC: 			10000
#>  observations: 		10000
#>  ----------------------------------------------
#>  Age (faded):		139.6261 ka ± 14.8132 ka
#>  Age (corr.):		288.1629 ka ± 72.5733 ka
#>  ----------------------------------------------