RooAgent provides an LLM agent interface that translates natural-language prompts into calls to PyROOT analysis functions for high energy physics tasks, with support for multiple AI backends and tested on ZH simulations and ATLAS open data.
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A pretrained GNN on 120M simulated LHC events improves downstream event-classification accuracy when training data are scarce, with benefits shrinking as data grow.
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RooAgent: An LLM Agent for Root-Based High Energy Physics Analysis
RooAgent provides an LLM agent interface that translates natural-language prompts into calls to PyROOT analysis functions for high energy physics tasks, with support for multiple AI backends and tested on ZH simulations and ATLAS open data.
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Pretrained Event Classification Model for High Energy Physics Analysis
A pretrained GNN on 120M simulated LHC events improves downstream event-classification accuracy when training data are scarce, with benefits shrinking as data grow.