Multi-Agent System for Cosmological Parameter Analysis Article Swipe
Andrew Laverick
,
Kristen M. Surrao
,
Íñigo Zubeldía
,
Boris Bolliet
,
Miles Cranmer
,
Antony Lewis
,
Blake D. Sherwin
,
Julien Lesgourgues
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2412.00431
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2412.00431
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.
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- en
- Landing Page
- http://arxiv.org/abs/2412.00431
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All OpenAlex metadata
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Multi-Agent System for Cosmological Parameter AnalysisWork title
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preprintOpenAlex work type
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2024Year of publication
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2024-11-30Full publication date if available
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Andrew Laverick, Kristen M. Surrao, Íñigo Zubeldía, Boris Bolliet, Miles Cranmer, Antony Lewis, Blake D. Sherwin, Julien LesgourguesList of authors in order
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https://arxiv.org/abs/2412.00431Publisher landing page
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https://arxiv.org/pdf/2412.00431Direct link to full text PDF
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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Computer science, Econometrics, MathematicsTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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