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The European Physical Journal C· 2026Q1

EasyScan_HEP 2: LLM-agent parameter-scan workflows in high energy physics

Y H Xiao, Yuanfang Yue, Yang Zhang

Short summary

EasyScan_HEP 2 enables LLM agents to construct high-energy physics parameter-scan configuration files via command-line and machine-readable interfaces, supporting new scan methods and providing a Web interface for inspection.

AI-generated from the title and abstract; the full text is not read.

Key points

  • EasyScan_HEP 2 facilitates LLM-agent assistance in creating parameter-scan configuration files for high-energy physics.
  • It provides command-line and machine-readable interfaces for LLM agents to define scan methods, workflows, constraints, and outputs.
  • The framework supports LLM-guided integration of new scan methods, demonstrated with specific examples.
  • A local Web interface allows for inspection of generated configurations, maintaining reproducibility and user control.

AI-generated from the title and abstract; the full text is not read.

Abstract

Abstract Large-language-model (LLM) agents are beginning to reshape the preparation and steering of computational workflows in high-energy physics phenomenology. To accommodate this change, we upgrade _ to make the construction of parameter-scan configuration files more accessible to LLM-agent assistance. _ exposes command-line and machine-readable interfaces for LLM-agent workflows, allowing an assistant to translate natural language requests into an explicit configuration that defines the scan method, external-program workflow, constraints, and outputs. The resulting configuration can be inspected through a local Web interface. The framework also supports LLM-agent-guided extension to new scan methods, as illustrated by the integration of , , and . In this way, _ adapts parameter-scan workflows to LLM-agent use while preserving reproducibility, transparency, and user control.

The authors' abstract, as published at the source. The European Physical Journal C, 2026 · DOI ↗

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Field: Information Systems and Management

Information Systems and ManagementDecision Sciences