Metadata-Version: 2.4
Name: xia2
Version: 3.9.dev236+gf66fb31b
Summary: An expert system for automated reduction of X-Ray diffraction data from macromolecular crystals
Author: Diamond Light Source
Author-email: dials-user-group@jiscmail.net
License: BSD-3-Clause
Project-URL: Documentation, https://xia2.github.io/
Project-URL: GitHub, https://github.com/xia2/xia2
Project-URL: Changelog, https://github.com/xia2/xia2/blob/master/CHANGELOG.rst
Project-URL: Bug-Tracker, https://github.com/xia2/xia2/issues
Keywords: xia2
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3`
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: Implementation :: CPython
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: dials-data>=2.0
Requires-Dist: Jinja2
Requires-Dist: pyyaml
Requires-Dist: tabulate
Dynamic: license-file

# xia2

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xia2 is an expert system to perform X-ray diffraction data processing
on your behalf, using your software with little or no input from you.
It will correctly handle multi-pass, multi-wavelength data sets as described
later but it is not a data processing package. Specifically, if you
use xia2 in published work please include the references for the programs
it has used, which are printed at the end of the output.
The system was initially written to support remote access to synchrotron
facilities, however it may prove useful to anyone using MX, for example:

* assisting new or novice users,
* giving a second opinion to experts,
* assisting busy users to allow them to focus on problem cases, or
* providing reproducible processing.

The last of these may be most useful for users in a pharmaceutical setting,
or people wishing to test or benchmark equipment, for example beamline
scientists. In all cases however the usage of the program is the same.

Website: https://xia2.github.io
Source code: https://github.com/xia2/xia2
Support: xia2.support@gmail.com
