Welcome to Vega’s documentation!

Welcome to Vega’s documentation!#

Vega is a tool for computing 3D correlation function and power spectrum models primarily for Lyman-α (Lyα) forest analyses. It is built to be modular and highly flexible in terms of the tracers being used. So far, Vega has been used to analyze the Lyα forest auto-correlation, its cross-correlation with galaxies and quasars (e.g., Gerardi et al. 2022, Gordon et al. 2023, Herrera-Alcantar et al. 2025, Karaçaylı et al. 2026), as well as auto- and cross-correlations of metal lines such as CIV and SiIV (e.g., Guy et al. 2025, Bault et al. 2026), Damped Lyman-α (DLA) absorbers (Pérez-Ràfols et al. 2023), and Strong Blended Lyman-α (SBLA) absorbers (Pérez-Ràfols et al. 2023).

Vega is currently being used by the Lyα forest working group in DESI to measure Baryon Acoustic Oscillations (BAO) and perform full-shape analyses of Lyα forest auto- and cross-correlations (e.g., DESI et al. 2025a, DESI et al. 2025b, Cuceu et al. 2025).

There are several tutorials and examples available to help you get started with Vega:

Vega modules are documented here:

Other stuff:

Indices and tables#