Metadata-Version: 2.1
Name: cronomaxrf
Version: 0.0.11
Summary: Python package to read and convert the Crono MA-XRF HDF5 data file format
Home-page: https://github.com/fligt/cronomaxrf
Author: Frank Ligterink
Author-email: frank.ligterink@gmail.com
License: GNU General Public License v3
Keywords: XRF HDF5
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
Requires-Dist: h5py
Requires-Dist: dask
Requires-Dist: zarr
Requires-Dist: matplotlib
Requires-Dist: numpy
Requires-Dist: IPython
Requires-Dist: wget
Requires-Dist: dask-ndfilters
Requires-Dist: filehash
Provides-Extra: dev
Requires-Dist: matplotlib ; extra == 'dev'

Welcome to cronomaxrf
================

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Recently my lab, the Rijkserfgoedlaboratorium in Amsterdam, acquired a
new Bruker Crono X-Ray Fluorescence spectral image (MACRO-XRF) scanner.
This instrument saves its raw data into a specific type of HDF5 file
format. Currently these files can only be read and converted by
commercially licensed Crono software. This situation restricts access to
the data to a limited number of researchers who can run the software.
Furthermore, it is likely that we will loose the ability to read the
data at some point in the future.

In order to make optimal use of the Crono data in collaborative research
projects now and to make sure that we can still read the data in the
future we need to: 1) understand the Crono HDF5 file format, and 2)
develop open software tools available to all researchers for reading and
converting these data files. To support open heritage science
`cronomaxrf` package is currently being developed under the GPLv3 open
source software license.

For installation instructions, documentation and code see:
https://fligt.github.io/cronomaxrf/


