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Astrophysics > Instrumentation and Methods for Astrophysics

arXiv:2412.00431 (astro-ph)
[Submitted on 30 Nov 2024 (v1), last revised 3 Dec 2024 (this version, v2)]

Title:Multi-Agent System for Cosmological Parameter Analysis

Authors:Andrew Laverick, Kristen Surrao, Inigo Zubeldia, Boris Bolliet, Miles Cranmer, Antony Lewis, Blake Sherwin, Julien Lesgourgues
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Abstract: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 this https URL.
Comments: Comments welcome!
Subjects: Instrumentation and Methods for Astrophysics (astro-ph.IM); Cosmology and Nongalactic Astrophysics (astro-ph.CO); Computational Physics (physics.comp-ph); Data Analysis, Statistics and Probability (physics.data-an)
Cite as: arXiv:2412.00431 [astro-ph.IM]
  (or arXiv:2412.00431v2 [astro-ph.IM] for this version)
  https://doi.org/10.48550/arXiv.2412.00431

Submission history

From: Boris Bolliet [view email]
[v1] Sat, 30 Nov 2024 10:58:56 UTC (867 KB)
[v2] Tue, 3 Dec 2024 15:33:42 UTC (867 KB)
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