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Welcome to the Datamuncher repository. Datamuncher is a collection of IDL routines that support the evaluation of X-ray Fluorescence Spectroscopy (XRF) imaging data.

This wiki is still in development and I hope to largely finish it soon (Jan. 2015). In this wiki you find:

1. History and Motivation
2. A step by step manual:
   Starting Datamuncher
   Automated sorting of data
   Calculation of sum spectra
3. File formats used
4. Folder structure

An video tutorial can be found on youtube:
https://www.youtube.com/channel/UCTUlnhE6gO6nteTNfCkuseA/playlists

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Relevant literature to Datamuncher:
M. Alfeld, K. Janssens, "Strategies for processing mega-pixel X-ray fluorescence hyperspectral data: a case study on a version of Caravaggio's painting Supper at Emmaus", J. Anal. At. Spectrom. 2015, 30, 777-789. https://doi.org/10.1039/C4JA00387J

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I acknowledge the support of Wout de Nolf, who contributed some details to the code, and the FWO, who granted me a PhD fellowship from 2009-2013.

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Project Members:

• Matthias Alfeld (admin)

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[Matthias Alfeld]

This repository contains the source code of datamuncher, which is a collection of routines I developed during my PhD, which focussed on the analysis of historical paintings by XRF imaging.

The code is released here, as I believe that it might be of some use for some. The code is good enough for the fast, qualitative processing of XRF imaging data, but was never intended for quantification.

I acknowledge the support of Wout de Nolf, who contributed some details to the code, and the FWO, who granted me a PhD fellowship from 2009-2013.