Multi-Agent System for Cosmological Parameter Analysis
Instrumentation and Methods for Astrophysics2024-12-04v2Cosmology and Nongalactic AstrophysicsComputational PhysicsData Analysis, Statistics and Probability
Multi-agent systems (MAS) utilizing multiple Large Language Model agents with Retrieval Augmented Generation and that can execute code locally may become beneficial in cosmological data analysis. Here, we illustrate a first small step towards AI-assisted analyses and a glimpse of the potential of MAS to automate and optimize scientific workflows in Cosmology. The system architecture of our example package, that builds upon the autogen/ag2 framework, can be applied to MAS in any area of quantitative scientific research. The particular task we apply our methods to is the cosmological parameter analysis of the Atacama Cosmology Telescope lensing power spectrum likelihood using Monte Carlo Markov Chains. Our work-in-progress code is open source and available at https://github.com/CMBAgents/cmbagent.
@article{arxiv.2412.00431,
title = {Multi-Agent System for Cosmological Parameter Analysis},
author = {Andrew Laverick and Kristen Surrao and Inigo Zubeldia and Boris Bolliet and Miles Cranmer and Antony Lewis and Blake Sherwin and Julien Lesgourgues},
journal= {arXiv preprint arXiv:2412.00431},
year = {2024}
}