Metadata-Version: 2.1
Name: pypxr
Version: 0.0.1
Summary: A collection of utilities for reducing data and modeling Polarized Resonant Soft X-ray Reflectivity.
Home-page: https://github.com/usnistgov/P-RSoXR
Author: Thomas Ferron
Author-email: thomas.j.ferron@gmail.com
License: UNKNOWN
Project-URL: Github, https://github.com/usnistgov/P-RSoXR
Project-URL: Documentation, https://p-rsoxr.readthedocs.io/en/latest/
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Science/Research
Classifier: License :: Freely Distributable
Classifier: Topic :: Scientific/Engineering :: Chemistry
Classifier: Topic :: Scientific/Engineering :: Physics
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE

# PyPXR

Open-source python utilities for modeling Polarized X-ray Reflectivity using an anisotropic transfer matrix formalism. The roots of this package were originally forked from the refnx.reflect layer model developed by Andrew Nelson.

This package requires the use of [refnx](https://refnx.readthedocs.io/en/latest/index.html) in order to model and fit data.

Some functionalities have been forked and repurposed from other open-source utilities:

  - [D. Dietze : FSRStools](https://github.com/ddietze/FSRStools)
  - [M. Jeannin : pyGTM](https://github.com/pyMatJ/pyGTM)
  - [P. Dmitriev : PyATMM](https://github.com/kitchenknif/PyATMM)


Results produced from the main-branch uniaxial calculation have been published and can be found online

  - [ACS Appl. Mater. Interfaces 2022, 14, 2, 3455–3466 (DOI:10.1021/acsami.1c19948)](https://pubs.acs.org/doi/abs/10.1021/acsami.1c19948)


### Contact information:
 - Authors: Thomas J. Ferron & Daniel F. Sunday
 - Affiliation: Materials Measurement Laboratory / Material Science and Engineering Division / Polymers Processing Group
 - Website: 
    - [Detailed Documentation (ReadTheDocs)](https://p-rsoxr.readthedocs.io/en/latest/)
    - [Resonant Soft X-ray Scattering Group](https://www.nist.gov/programs-projects/resonant-soft-x-ray-scattering-rsoxs)
 - Email: daniel.sunday@nist.gov


