Fisher forecasting for cosmological surveys
Project description
pyfisher
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:
Git clone the repository
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
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for pyfisher-2.1.0-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 670b8d2b542133feb4c5668d1ff42949490f39ca3211de95310452e482938344 |
|
MD5 | 9a4ac63b4ad0bf9f10286a59bc6816dc |
|
BLAKE2b-256 | 61f83fe8ff2fd3b392523968966b9467598238e4a6784c6ac7567df60d0d9d52 |