Welcome to firecrown’s documentation!

Introduction

Firecrown is a Python package that provides the DESC framework to implement likelihoods, as well as specific likelihood implementations. Firecrown is intended to be usable from external statistical analysis tools.

Currently, it supports Cobaya, CosmoSIS, and NumCosmo, providing the necessary classes or modules to allow users the sampling frameworks to call any Firecrown likelihood from within those samplers.

• Cobaya

• CosmoSIS

• NumCosmo

It can also be used as a library in other contexts, and so the installation of Firecrown does not require the installation of a sampler.

Note

Before installing Firecrown, we recommend reading the introductory article. This article explains the general concepts behind Firecrown, how to install it, and how to use it.

Getting Started

• Installation Quickstart
• Using Firecrown

Developing with Firecrown

• Release and dependency policy
• Developer Notes
• Contributing

Cookbook

• NumCosmo
  • Computing Best-Fit
  • Computing Fisher Matrix
  • Computing Fisher Bias

Reference

• API Documentation

License

• License and Conditions of Use

Indices and tables

• Index

• Module Index

• Search Page