SUNBIRD

SUNBIRD provides routines to train neural-network-based models for galaxy clustering. It also incorporates pre-trained models for different summary statistics, including:

• Galaxy two-point correlation function

• Density-split clustering statistics

• Void-galaxy cross-correlation function.

These models have been trained on mock galaxy catalogues based on the AbacusSummit simulations. The models are described in detail in Cuesta-Lazaro et al. (in preparation).

• Building
• Getting started
• Training new emulators