Metadata-Version: 1.2
Name: skultrafast
Version: 2.0.5
Summary: Python package for analyzing time-resolved spectra.
Home-page: http://github.com/tillsten/skultrafast
Author: Till Stensitzki
Author-email: tillsten@zedat.fu-berlin.de
License: LICENSE.txt
Description: skultrafast
        ***********
        .. image:: https://readthedocs.org/projects/skultrafast/badge/?version=latest
            :target: https://skultrafast.readthedocs.io/en/latest/?badge=latest
            :alt: Documentation Status
        
        .. image:: https://travis-ci.org/Tillsten/skultrafast.svg?branch=master
            :target: https://travis-ci.org/Tillsten/skultrafast
        
        **WARNING! THE PROJECT IS A RESTRUCTURING PHASE AND NOT VERY USABLE FOR NEW
        USERS!**
        
        What is skultrafast?
        ====================
        Skultrafast stands for scikit.ultrafast and is an python package which aims
        to include everything needed to analyze data from time-resolved spectroscopy
        experiments in the femtosecond domain. Its current features are listed further
        below.
        
        The latest version of the software is available on `github <https://github
        .com/Tillsten/skultrafast>`_. A build of the documentation can be found at
        `Read the docs <https://skultrafast.readthedocs.io/en/latest/>`_.
        
        The package was created and is maintained by *Till Stensitzki*. All coding was
        done while being employed in the `Heyne group <http://www.physik.fu-berlin
        .de/einrichtungen/ag/ag-heyne/>`_ and was therefore founded by the DFG via
        `SFB 1078 <www.sfb1078.de/>`_ and `SFB 1114 <www.sfb1114.de/>`_.
        
        Aims of the project
        -------------------
        I like to include any kind of algorithm or data structure which comes up in
        ultrafast physics. I am also open to add a graphical interface to the
        package, but as experience shows, a GUI brings in a lot of maintenance
        burden. Hence, the first target is a interactive data-explorer for the
        jupyter notebook.
        
        
        Features
        --------
        The current releases centers around working with time-resolved spectra:
        
        * Publication ready plots with few lines.
        * Automatic dispersion correction.
        * Easy data processing.
        * Very fast exponential fitting, which can make use of your GPU.
        * Modern error estimates of the fitting results via
          `lmfit <http://lmfit.github.io/lmfit-py/>`_.
        * Lifetime-density analyses using regularization regression.
        
        This package also tries its best to follow modern software practices. This
        includes version control using *git*, continues integration testing via
        travisCI and decent documentation.
        
        Users
        -----
        At the moment it is mostly me and other people in my group. I would be happy
        if anyone would like to join the project!
        
        
        License
        =======
        Standard BSD-License. See the LICENSE file for details.
        
        
Keywords: science physics chemistry pump-probe spectroscopy time-resolved
Platform: UNKNOWN
Requires-Python: >=3.5
