Metadata-Version: 1.1
Name: EasyLEED
Version: 2.1
Summary: Automated extraction of intensity-energy spectra from low-energy electron diffraction patterns
Home-page: https://andim.github.io/easyleed/
Author: Andreas Mayer, Hanna Salopaasi, Nicola Ferralis
Author-email: andisspam@gmail.com
License: GPLv2
Download-URL: https://github.com/andim/easyleed/archive/2.1.tar.gz
Description: 
        EasyLEED facilitates data analysis of images obtained by low-energy electron diffraction, a common technique in surface science. It aims to automate the process of extracting intensity-energy spectra from a series of diffraction patterns acquired at different beam energies. At its core a tracking algorithm exploiting the specifics of the underlying physics (see `paper <http://dx.doi.org/10.1016/j.cpc.2012.02.019>`_) allows to link the position of the diffraction maxima between subsequent images.
        
        For more info please see https://andim.github.io/easyleed/ or contact the authors via Email (andisspam@gmail.com) or Twitter (https://twitter.com/andisspam)
        
Keywords: LEED,surface science,image analysis,I(E) spectra,spot tracking
Platform: any
Classifier: License :: OSI Approved :: GNU General Public License v2 (GPLv2)
Classifier: Development Status :: 5 - Production/Stable
Classifier: Programming Language :: Python :: 2.7
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Chemistry
Classifier: Topic :: Scientific/Engineering :: Physics
Requires: numpy
Requires: matplotlib
Requires: scipy
Requires: pillow
Requires: pyqt4
