Skip to content
forked from ikibalin/cryspy

A software for polarized neutron diffraction data analysis by a library CrysPy

License

Notifications You must be signed in to change notification settings

eandklahn/cryspy

 
 

Repository files navigation

CrysPy is a crystallographic library for neutron data analysis. Based on the library CrysPy a script RhoChi allows to refine polarized neutron diffraction experiments performed with single crystals as well as with powder magnetic compounds.

Main Features

  • Analysis of the polarized neutron scattering on crystals by the library CrysPy;
  • Diffraction data refinement for single crystals or powders by RhoChi;
  • Free distributed software.

For more information please see documentation site.

Copyright and License

MIT License

Copyright (c) 2018-2020 Iurii Kibalin https://github.com/ikibalin/cryspy

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

About

A software for polarized neutron diffraction data analysis by a library CrysPy

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 97.8%
  • F* 1.2%
  • Jupyter Notebook 1.0%