gamma

Dose Rate Estimation from In-Situ Gamma-Ray Spectrometry Measurements

https://github.com/crp2a/gamma

Science Score: 59.0%

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    Found 3 DOI reference(s) in README
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Keywords

archaeometry gamma-spectrometry geochronology luminescence-dating r-package
Last synced: 4 months ago · JSON representation

Repository

Dose Rate Estimation from In-Situ Gamma-Ray Spectrometry Measurements

Basic Info
Statistics
  • Stars: 7
  • Watchers: 2
  • Forks: 2
  • Open Issues: 0
  • Releases: 10
Topics
archaeometry gamma-spectrometry geochronology luminescence-dating r-package
Created almost 7 years ago · Last pushed 12 months ago
Metadata Files
Readme Changelog Contributing License Code of conduct Codemeta Zenodo

README.Rmd

---
output: github_document
---



```{r setup, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = NULL
)
```

# gamma 


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## Overview

**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 and Kromek SPE files.

The [**gammaShiny**](https://github.com/crp2a/gammaShiny) package provides an enhanced graphical user interface for the main applications of **gamma**.

```{r citation, echo=FALSE, comment=''}
cite <- utils::citation("gamma")
print(cite, bibtex = FALSE)
```

## Installation

You can install the released version of **gamma** from [CRAN](https://CRAN.R-project.org) with:

```{r cran-installation, eval=FALSE}
install.packages("gamma")
```

And the development version from [GitHub](https://github.com/) with:

```{r gh-installation, eval=FALSE}
# install.packages("remotes")
remotes::install_github("crp2a/gamma")
```

## Usage

```{r usage, fig.width=7, fig.height=3.5, fig.align='center'}
## 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)
```

```{r calib, fig.width=3.5, fig.height=3.5, fig.align='center'}
## 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
data("BDX_LaBr_1", package = "gamma")
plot(BDX_LaBr_1)
```

```{r dose, eval=FALSE}
## Estimate the gamma dose rate
(doses <- dose_predict(BDX_LaBr_1, spectra))
```

```{r table, echo=FALSE}
doses <- dose_predict(BDX_LaBr_1, spectra)
knitr::kable(doses)
```

## Contributing

Please note that the **gamma** project is released with a [Contributor Code of Conduct](https://github.com/crp2a/gamma/blob/master/.github/CODE_OF_CONDUCT.md). By contributing to this project, you agree to abide by its terms.

## Acknowledgements

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).

Owner

  • Name: Archéosciences Bordeaux
  • Login: crp2a
  • Kind: organization
  • Location: Pessac, France

Archaeological Science Laboratory at Bordeaux Montaigne University

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cran.r-project.org: gamma

Dose Rate Estimation from in-Situ Gamma-Ray Spectrometry Measurements

  • Versions: 7
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 206 Last month
  • Docker Downloads: 21,613
Rankings
Stargazers count: 21.1%
Forks count: 21.9%
Dependent packages count: 29.8%
Average: 31.4%
Dependent repos count: 35.5%
Downloads: 48.8%
Last synced: 4 months ago

Dependencies

DESCRIPTION cran
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  • utils * imports
  • covr * suggests
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