Metadata-Version: 2.1
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
Platform: posix
Platform: mac os
Classifier: Programming Language :: Python
Classifier: Natural Language :: English

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Shear bias
##########

|arXiv| |pypi|

.. |arXiv| image:: https://img.shields.io/badge/arXiv-1806.10537-red.svg
   :target: https://arxiv.org/abs/1806.10537

.. |pypi| image:: https://pypip.in/v/blackhole/badge.svg
   :target: https://pypi.org/project/shear-bias/0.4

: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


