Metadata-Version: 1.1
Name: shear-bias
Version: 0.4
Summary: Shear bias estimation tools
Home-page: https://github.com/cosmostat/shear_bias
Author: Martin Kilbinger, Arnau Pujol
Author-email: martin.kilbinger@cea.fr
License: GNU GPLv3
Description: ##########
        Shear bias
        ##########
        
        |arXiv|
        
        .. |arXiv| image:: https://img.shields.io/badge/arXiv-1806.10537-red.svg
           :target: https://arxiv.org/abs/1806.10537
        
        
        :Version: 0.4
        
        :Date: March 2021
        
        ``shear_bias`` is a package that contains tools and scripts for shear bias
        estimation for weak gravitational lensing analysis.
        
        Authors
        =======
                - Martin Kilbinger `martin.kilbinger@cea.fr`
                - Arnau Pujol `arnaupv@gmail.com`
        
        Installation
        ============
        
        Download the code from the ``github`` repository.
        
        .. code-block:: bash
        
                git clone https://github.com/cosmostat/shear_bias
        
        A directory `shear_bias` is created. There, call the setup script to install the
        package.
        
        .. code-block:: bash
        
                cd shear_bias
                python setup.py install
        
        You might have to use ``sudo`` in front of the setup command, if you have the root password.
        Alternatively, you can install the package from within a virtual environment, or use
        the option ``--prefix DIR`` to install it in a directory ``DIR`` of your choice.
        
        External programs and libraries
        -------------------------------
        
        The following packages should be installed:
          - `galsim`
        
        Content
        =======
        
                - ``shear_bias``
        
                  Python scripts with the shear_bias module functions and classes.
                - ``notebooks``
        
                  Jupyter notebooks
                    - ``shear_bias_example.ipynb``
        
                      Example notebook using galsim
        
        Reference
        =========
        
        Pujol, Kilbinger, Sureau & Bobin (2018) arXiv_ ads_.
        
        .. _arXiv: https://arxiv.org/abs/1806.10537
        .. _ads: http://cdsads.u-strasbg.fr/abs/2018arXiv180610537P
        
Platform: posix
Platform: mac os
Classifier: Programming Language :: Python
Classifier: Natural Language :: English
