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.
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 visiting the tutorial site. This site serves as a comprehensive resource for Firecrown, offering both pre-installation information and post-installation guidance. It covers essential topics such as the general concepts behind Firecrown, installation instructions, and usage guidelines.
Data Format
Firecrown uses the SACC (Save All Correlations and Covariances) format to organize and manage measurements and their associated metadata. SACC provides a standardized way to store, read, and validate cosmological survey data across different analysis pipelines.
The SACC format is essential for Firecrown’s operation because it:
Organizes measurements from multiple tracers (tomographic bins)
Enforces naming conventions for unambiguous interpretation
Stores measurement covariances and window functions
For detailed information about using SACC files with Firecrown, including naming conventions, mixed-type measurements, and guidance for fixing convention violations, see the SACC Usage guide.
Getting Started
Developing with Firecrown