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Linearity Correction for Photomultiplier tubes (PMT)

Source: R/correct_PMTLinearity.R
correct_PMTLinearity.Rd

Correct linearity of PMT counts to avoid saturation effects, depending on pulse-pair-resolution of individual PMTs.

Usage

correct_PMTLinearity(object, PMT_pulse_pair_resolution = NULL)

Arguments

object

RLum.Analysis RLum.Data.Curve (required): object with records to correct; can be a list of such objects

PMT_pulse_pair_resolution

numeric (with default): pulse-pair resolution in ns. Values can be found on the PMT datasheets. If NULL nothing is done.

Value

Returns the same type of object type as object.

Details

We correct for count linearity using a well-known formula that can be found for example in the Hamamatsu Photomultiplier handbook (Hamamatsu Photonics K.K., 2017):

$$N = \frac{M}{1 - M*t}$$

where \(N\) (in s\(^{-1}\)) is the true count rate, \(M\) (in s\(^{-1}\)) the measured count rate, and \(t\) (in s) the pulse pair resolution.

Note

This function is an adaptation of core from the R package 'OSLdecomposition'.

How to cite

Kreutzer, S., Mittelstrass, D., 2025. correct_PMTLinearity(): Linearity Correction for Photomultiplier tubes (PMT). 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., Steinbuch, L., Boer, A.d., 2025. Luminescence: Comprehensive Luminescence Dating Data Analysis. R package version 1.1.1. https://r-lum.github.io/Luminescence/

References

Hamamatsu Photonics K.K., 2017. Photomultiplier Tubes: Basics and Applications, 4th edition. ed. Hamamatsu.

Mittelstraß, D., Kreutzer, S., Schmidt, C., 2022. OSLdecomposition: Signal component analysis for optically stimulated luminescence. doi:10.32614/CRAN.package.OSLdecomposition

Author

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

Examples

o <- set_RLum("RLum.Data.Curve")
correct_PMTLinearity(o, PMT_pulse_pair_resolution = 10)
#> 
#>  [RLum.Data.Curve-class]
#> 	 recordType: NA
#> 	 curveType: NA
#> 	 measured values: 1
#> 	 .. range of x-values: 0 0
#> 	 .. range of y-values: 0 0 
#> 	 additional info elements: 0