Generates and optimizes ServiceX queries in func_adl for analyzing ATLAS xAOD high-energy physics data.
ServiceX for ATLAS xAOD is a specialized skill designed to streamline the creation, debugging, and execution of data extraction queries for high-energy physics research. It automates the generation of func_adl query patterns tailored for PHYSLITE and PHYS data formats, ensuring adherence to ATLAS-specific best practices such as event-level filtering, unit conversion to standard LHC units (GeV), and efficient Rucio dataset fetching. This skill simplifies the complex workflow of skimming large-scale datasets, allowing researchers to focus on data analysis rather than query syntax and data model intricacies.
主要功能
010 GitHub stars
02Automated func_adl query generation for PHYSLITE and PHYS datasets
03Optimized event-level and object-level filtering patterns
04Automatic unit conversion to standard LHC units (GeV, meters)
05Seamless integration with Rucio for dataset delivery and retrieval
06Context-aware guidance for xAOD data models including jets, electrons, and muons
使用场景
01Building complex skim queries for ATLAS PHYSLITE datasets
02Debugging and refining func_adl queries for physics analysis
03Automating dataset fetching from Rucio for local processing
