Metadata-Version: 2.1
Name: SurfaceTopography
Version: 1.0
Summary: Read and analyze surface topographies
Home-page: UNKNOWN
Author: Lars Pastewka
Author-email: lars.pastewka@imtek.uni-freiburg.de
License: MIT
Description: SurfaceTopography
        =================
        
        *Read and analyze surface topographies with Python.* This code implements basic classes for handling uniform and
        nonuniform surface topography data. It contains a rich set of import filters for experimental surface topography data.
        Surface topographies can be easily analyzed using standard (rms height, power spectrum, ...) and some special purpose
        (autocorrelation function, variable bandwidth analysis, ...) statistical techniques. 
        
        If you use this code, please cite:
        [Jacobs, Junge, Pastewka, Surf. Topogr. Metrol. Prop. 1, 013001 (2017)](https://doi.org/10.1088/2051-672X/aa51f8)
        
        Build status
        ------------
        
        The following badge should say _tests passing_. This means that all automated tests completed successfully for the master branch.
        
        [![Build Status](https://github.com/ContactEngineering/SurfaceTopography/actions/workflows/tests.yml/badge.svg)](https://github.com/ContactEngineering/SurfaceTopography/actions/workflows/tests.yml)
        
        Documentation
        -------------
        
        This README file contains a brief introduction into the code. The full documentation can be found at https://contactengineering.github.io/SurfaceTopography/.
        
        Installation
        ------------
        
        Quick install with: `python3 -m pip install SurfaceTopgography`
        
        Funding
        -------
        
        Development of this project is funded by the [European Research Council](https://erc.europa.eu) within [Starting Grant 757343](https://cordis.europa.eu/project/id/757343) and by the [Deutsche Forschungsgemeinschaft](https://www.dfg.de/en) within projects [PA 2023/2](https://gepris.dfg.de/gepris/projekt/258153560) and [EXC 2193](https://gepris.dfg.de/gepris/projekt/390951807).
        
Platform: UNKNOWN
Requires-Python: >=3.5.0
Description-Content-Type: text/markdown
