gamma is intended to process in-situ gamma-ray spectrometry measurements for luminescence dating. This package allows to import, inspect and (automatically) correct the energy scale of the spectrum. It provides methods for estimating the gamma dose rate by the use of a calibration curve. This package only supports Canberra CNF and TKA files.
The gammaShiny package provides an enhanced graphical user interface for the main applications of gamma.
To cite gamma in publications use:
Lebrun B, Frerebeau N, Paradol G, Guérin G, Mercier N, Tribolo C,
Lahaye C, Rizza M (2020). "gamma: An R Package for Dose Rate
Estimation from In-Situ Gamma-Ray Spectrometry Measurements."
_Ancient TL_, *38*(2), 1-5.
Frerebeau N, Lebrun B, Paradol G (2023). _gamma: Dose Rate Estimation
from in-Situ Gamma-Ray Spectrometry_. Université Bordeaux Montaigne,
Pessac, France. doi:10.5281/zenodo.2652393
<https://doi.org/10.5281/zenodo.2652393>, R package version 1.0.4.
You can install the released version of gamma from CRAN with:
install.packages("gamma")And the development version from GitHub with:
# install.packages("remotes")
remotes::install_github("crp2a/gamma")## A minimal example
library(gamma)
## Find the full path to the spectrum file
spc_file <- system.file("extdata/LaBr.CNF", package = "gamma")
## Import the spectrum
spectrum <- read(spc_file)
## Set the expected channel/energy peaks for the energy scale calibration
## Spectrum pre-processing and peak detection
peaks <- spectrum |>
signal_slice() |>
signal_stabilize(f = sqrt) |>
signal_smooth(method = "savitzky", m = 21) |>
signal_correct(method = "SNIP", n = 100) |>
peaks_find()
## Set the energy values (in keV)
set_energy(peaks) <- c(238, NA, NA, NA, 1461, NA, NA, 2615)
## Calibrate the energy scale
calib <- energy_calibrate(spectrum, peaks)
## Inspect peaks
plot(calib, peaks)
## Estimate the gamma dose rate of a set of spectra
## You may want to give extra attention to the energy calibration step
spc_file <- system.file("extdata/BDX_LaBr_1/test", package = "gamma")
spectra <- read(spc_file)
## Load the calibration curve for the dose rate estimation
## As this curve is instrument specific, you will have to build your own
## See help(fit_dose)
data("BDX_LaBr_1", package = "gamma")
plot(BDX_LaBr_1)
## Estimate the gamma dose rate
(doses <- dose_predict(BDX_LaBr_1, spectra))
#> names dose_Ni error_Ni dose_NiEi error_NiEi
#> 1 20110523204008 252.2866 378.6325 220.6747 331.0412
#> 2 20110523210008 257.3316 386.1409 219.1303 328.7243
#> 3 20110527205316 247.5890 371.4762 203.0288 304.5699
#> 4 20130809172451 892.1003 1338.3368 849.8817 1274.9341
#> 5 20130813181639 1065.0899 1597.8515 1024.9325 1537.5334
#> 6 20160717175757 565.6418 848.6886 496.7518 745.1931
#> 7 20160717181052 480.1928 720.4625 421.8396 632.8149
#> 8 20160717182601 497.7403 746.7658 436.2712 654.4642Please note that the gamma project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.
This work received a state financial support managed by the Agence Nationale de la Recherche (France) through the program Investissements d’avenir (ref. 10-LABX-0052 and 11-IDEX-0001).
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