There are 2 repositories under xrf topic.
R functions for the chemometric analysis of spectra
Python tools designed to integrate and visualize geological core data
Side-by-side image viewer with synchronized zoom and sliding overlays. Drag and drop to instantly compare multiple images on your desktop. Very open source.
FOSS Resources for Spectroscopy
hyperSpec: Tools for Spectroscopy (R package)
DExtra secure reflector system for D-STAR networks
Desktop app for aligning images using draggable control points (manual image registration). Batch mode to process multiple images such as XRF and RIS element maps from painting analyses. Converts and merges alphascale images. Installs as a Windows executable and runs directly on Python. Very open source.
R-Shiny project for visualizing XRF and NAA geochemistry concentrations
GUI Application for XRF Spectral Analysis and control of Bruker pXRF Instruments - S1 TITAN, TRACER, CTX, XMS. Windows/Linux/Mac. Also supports full control and automation using the GeRDA CNC sampling frame (or similar).
Produce readable data from handheld XRF files
eXSpy Jupyter Notebook demos
A collection of scripts and GUI front-end that takes machine output files and combines, assigns names, and exports data.
Data and code for Lago Pato, Torres del Paine in Roberts SJ, McCulloch RDM, Emmings J, Davies SJ, Van Nieuwenhuyze W, Sterken M, et al. (2022). Late glacial and Holocene palaeolake history of the Última Esperanza region of Southern Patagonia. Frontiers in Earth Science.
Reader module for .PDZ binary spectral file format used by Bruker pXRF Instruments
Various bits and bobs for assisting with X-ray Fluorescence
Simple tool to identify anomalous peaks in XRF spectra, show what they could be caused by or what could be interfering with the detection of an element of interest. Reports which sum peaks, escape peaks, and fluorescence lines are closest to a given energy or element. Requires pandas library.
Converts data from the DIFFABS beamline at the SOLEIL synchrotron into an R compatible format.
Estimate the theoretical maximum depth at which an element will be detectable through a solid layer of a different element via XRF analysis. ex: coatings calibration