ASCL.net

Astrophysics Source Code Library

Making codes discoverable since 1999

ASCL Code Record

[ascl:2405.025] CosmoPower: Machine learning-accelerated Bayesian inference

CosmoPower develops Bayesian inference pipelines that leverage machine learning to solve inverse problems in science. While the emphasis is on building algorithms to accelerate Bayesian inference in cosmology, the implemented methods allow for their application across a wide range of scientific fields. CosmoPower provides neural network emulators of matter and Cosmic Microwave Background power spectra, which can replace Boltzmann codes such as CAMB (ascl:1102.026) or CLASS (ascl:1106.020) in cosmological inference pipelines, to source the power spectra needed for two-point statistics analyses. This provides orders-of-magnitude acceleration to the inference pipeline and integrates naturally with efficient techniques for sampling very high-dimensional parameter spaces.

Code site:
https://github.com/alessiospuriomancini/cosmopower
Described in:
https://ui.adsabs.harvard.edu/abs/2022MNRAS.511.1771S
Bibcode:
2024ascl.soft05025S

Views: 501

ascl:2405.025
Add this shield to your page
Copy the above HTML to add this shield to your code's website.