Metadata-Version: 2.1
Name: pyfisher
Version: 2.1.0
Summary: Fisher forecasting for cosmological surveys
Home-page: https://github.com/msyriac/pyfisher
Author: Mathew Madhavacheril
Author-email: mathewsyriac@gmail.com
License: BSD license
Keywords: pyfisher
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.6
Requires-Dist: numpy
Requires-Dist: matplotlib
Requires-Dist: scipy
Requires-Dist: pandas
Requires-Dist: camb
Requires-Dist: chainconsumer

========
pyfisher
========


.. image:: https://img.shields.io/pypi/v/pyfisher.svg
        :target: https://pypi.python.org/pypi/pyfisher

.. image:: https://img.shields.io/travis/msyriac/pyfisher.svg
        :target: https://travis-ci.org/msyriac/pyfisher

.. image:: https://readthedocs.org/projects/pyfisher/badge/?version=latest
        :target: https://pyfisher.readthedocs.io/en/latest/?badge=latest
        :alt: Documentation Status

.. image:: https://pyup.io/repos/github/msyriac/pyfisher/shield.svg
     :target: https://pyup.io/repos/github/msyriac/pyfisher/
     :alt: Updates

.. image:: https://pyup.io/repos/github/msyriac/pyfisher/python-3-shield.svg
     :target: https://pyup.io/repos/github/msyriac/pyfisher/
     :alt: Python 3



Fisher forecasting for cosmological surveys

pyfisher is a python package for calculating Fisher matrices and for forecasting parameter uncertainties for cosmological surveys.

🟥  **Version 2 is a total revamp, so if you're used to what this software looked like before November 2020, you should switch to the ``legacy`` branch.** 

While the new version does not (yet) provide an interface for CMB lensing noise curves with iterative
delensing like the old one did, it has a simplified API, lots of pre-calculated
Fishers, and a tool to reparametrize into a σ8  parameterization.


* Free software: BSD license
* Documentation: https://pyfisher.readthedocs.io.


Installation
------------

Install in two steps:

1. Git clone the repository
2. ``cd`` into the repository and run ``pip install -e . --user``.

The latter step just copies symbolic links to the relevant modules into a directory (managed by pip) that is in your python path.

Once this is done, you should be able to do things like

.. code-block:: python

				import pyfisher


from anywhere on your system.


Basic Usage
-----------

See and run ``python tests/test_lensing.py`` to reproduce Planck constraints and get a feel for how to use this package.




=======
History
=======

2.0.0 (2020-11-22)
------------------

* First release on PyPI.


