SUNBIRD: Neural-network-based models for galaxy clustering
Abstract
SUNBIRD trains neural-network-based models for galaxy clustering. It also incorporates pre-trained emulators for different summary statistics, including galaxy two-point correlation function, density-split clustering statistics, and old-galaxy cross-correlation function. These models have been trained on mock galaxy catalogs, and were calibrated to work for specific samples of galaxies. SUNBIRD implements routines with PyTorch to train new neural-network emulators.
- Publication:
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Astrophysics Source Code Library
- Pub Date:
- December 2023
- Bibcode:
- 2023ascl.soft12015C
- Keywords:
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- Software