Description
Hundreds of BSM Lagrangians have been proposed in the literature (extended Higgs sectors, leptoquarks, SUSY variants, dark matter portals, EFT extensions at various operator dimensions). When a researcher wants to simulate a particular scenario, they must locate the Lagrangian in the literature, translate it into a FeynRules model file, and validate the implementation. This literature-to-simulation pipeline is a significant manual bottleneck.
This project builds an agentic system within the HEPTAPOD framework that automates this workflow. Given a BSM scenario description, the agent searches the literature, identifies the relevant Lagrangian and conventions, generates a syntactically correct FeynRules .fr model file, and validates it, checking particle content, symmetry properties, and where possible reproducing known cross sections or decay widths using HEPTAPOD’s existing FeynRulesToUFOTool and downstream event generation tools.
Duration
Total project length: 350 hours.
Task ideas
- Survey publicly available FeynRules model files (model database, HEPTAPOD examples) to catalog conventions and patterns
- Implement HEPTAPOD tool modules for searching the HEP literature (INSPIRE, arXiv), extracting Lagrangian terms, and generating FeynRules .fr files
- Build agent workflows that go from a scenario description to a validated model file, using HEPTAPOD’s existing tools for UFO compilation and event generation
- Implement validation: particle spectrum consistency, gauge invariance, reproduction of known decay widths or cross sections where available
- Test against benchmark models already in the FeynRules database (scalar leptoquarks, 2HDM, simplified dark matter)
- Implement audit trail recording literature sources, extracted terms, and model-building decisions
Expected results:
- Working agentic system integrated into HEPTAPOD for Lagrangian extraction and model file generation
- Validation against at least two models with known FeynRules implementations
- Audit trail documenting the agent’s reasoning from literature to model file
- Open-source code with examples
Difficulty level
Advanced
Requirements
- Strong Python skills, experience with AI/ML frameworks
- Familiarity with LLM tool-use and agentic programming patterns
- Interest in particle physics theory (Lagrangians, EFT, BSM), coursework or reading a plus
- Exposure to Mathematica or FeynRules helpful
- Ability to work independently on an open-ended research project
Test
Please use this link to access the test for this project.
Mentors
Please DO NOT contact mentors directly by email. Instead, please email ml4-sci@cern.ch with Project Title and include your CV and test results. The mentors will then get in touch with you.
Links
Corresponding Project
Participating Organizations