https://github.com/msyriac/pyfisher

Fisher forecasting for cosmological surveys
https://github.com/msyriac/pyfisher

cmb cosmology fisher forecasting python

Last synced: 7 months ago
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Fisher forecasting for cosmological surveys

• Host: GitHub
• URL: https://github.com/msyriac/pyfisher
• Owner: msyriac
• License: other
• Created: 2016-01-22T21:26:09.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2024-10-21T18:41:48.000Z (12 months ago)
• Last Synced: 2025-03-16T01:32:41.844Z (7 months ago)
• Topics: cmb, cosmology, fisher, forecasting, python
• Language: Python
• Homepage:
• Size: 17.1 MB
• Stars: 18
• Watchers: 7
• Forks: 9
• Open Issues: 9
• Metadata Files:
  • Readme: README.rst
  • Changelog: HISTORY.rst
  • Contributing: CONTRIBUTING.rst
  • License: LICENSE
  • Authors: AUTHORS.rst

Awesome Lists containing this project

README

          
========

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

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.