Delphes Fast Simulator
SkillDev toolsDelphes fast detector simulation skill for phenomenological studies and BSM searches
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
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Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Delphes Fast Simulator skill
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/physics/skills/delphes-fast-simulator/SKILL.md and read by ahel’s review.
Purpose
Provides expert guidance on Delphes fast detector simulation for phenomenological studies, including detector card configuration and object reconstruction.
Capabilities
- Detector card configuration (ATLAS, CMS, custom)
- Jet reconstruction algorithms
- Object efficiency parameterization
- Pile-up simulation
- Trigger emulation
- ROOT/Delphes tree output
Usage Guidelines
- Detector Cards: Configure or customize detector response cards
- Jet Algorithms: Select appropriate jet reconstruction algorithms
- Efficiencies: Model object reconstruction efficiencies
- Pile-up: Add pile-up simulation when needed
- Output: Generate ROOT trees for analysis
Tools/Libraries
- Delphes
- FastJet
- ROOT
Signals
- GitHub stars
- 2k
- Forks
- 112
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
delphes-fast-simulator- Source
- github.com/a5c-ai/babysitter