Metadata-Version: 2.1
Name: moseley
Version: 0.1.0
Summary: Simulating XRF spectra to better understand them
Home-page: https://github.com/fligt/moseley
Author: Frank Ligterink
Author-email: frank.ligterink@gmail.com
License: GNU General Public License v3
Description: Welcome to moseley
        ================
        
        <!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! -->
        
        The widespread use of point-and-shoot hand held x-ray fluorescence (XRF)
        instruments in cultural heritage research, would suggest that it is easy
        enough for anyone to find out the elemental composition of materials.
        Alas, due to myriads of emission energies, escape peaks and other
        nuisances, reliable interpretation of x-ray fluorescence spectra is
        actually hard. If you are not yet deterred, just read the [Handheld XRF
        in Cultural Heritage - A practical workbook for
        conservators](http://www.getty.edu/conservation/publications_resources/pdf_publications/pdf/handheld-xrf-cultural-heritage.pdf)
        with many, many examples of spectra that was recently made available
        on-line by the Getty Conservation Institute.
        
        My take on this as a physicist and a python programmer is that instead
        of learning from data directly (i.e. staring at measured spectra), a
        nicer route to insight exists. Due to huge efforts and advances of the
        open source scientific computing community it is nowadays possible to
        install readily available python packages and create physics simulations
        and visualizations with a few lines of computer code. Once you
        understand why certain patterns of peaks appear, it becomes much more
        easy to interpret XRF spectra reliably.
        
        ## Installation
        
        <div>
        
        [![](https://zenodo.org/badge/DOI/10.5281/zenodo.4784233.svg)](https://doi.org/10.5281/zenodo.4784233)
        
        </div>
        
        If you would like to adapt this plot to your own needs, for instance to
        to see what happens if you change beam energy, you can install this
        package yourself.
        
            $ pip install moseley 
        
        ## Usage
        
        See documentation: https://fligt.github.io/moseley/
        
Keywords: XRF
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Provides-Extra: dev
