Skip to main content

Fisher forecasting for cosmological surveys

Project description

pyfisher

https://img.shields.io/pypi/v/pyfisher.svg https://img.shields.io/travis/msyriac/pyfisher.svg Documentation Status Updates 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.

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

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyfisher-2.1.0.tar.gz (5.6 MB view hashes)

Uploaded Source

Built Distribution

pyfisher-2.1.0-py2.py3-none-any.whl (5.7 MB view hashes)

Uploaded Python 2 Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page