Welcome to Spaceborne documentation!

Spaceborne is a Python package for the computation of the covariance matrix of photometric observables (weak lensing, photometric galaxy clustering and their cross-correlation). It can produce the covariance matrix both for harmonic- and real-space two-point statistics, and it allows the inclusion of the non-Gaussian contributions (super-sample and connected non-Gaussian covariance) to the covariance matrix. The code includes a self-explanatory configuration file; further details can be found in this documentation, as well as in the accompanying paper [Sciotti et al., in prep].

Features

• Calculation of covariance matrices for various cosmological probes

• Support for different ordering schemes in the output

• Flexible configuration through YAML files

• JAX for computational efficiency

Contents:

• Installation
  • Quickstart
  • Main dependencies
• Usage
  • Running the Code
• I/O
  • Inputs
  • Outputs
• Tips
  • Speed