Readable and efficient HEP data analysis with bamboo

TL;DR

Bamboo is a Python-embedded domain-specific language for high-energy physics data analysis that combines concise expression, high performance, and flexibility, facilitating complex analyses with reusable components and adaptability to various data formats.

Contribution

It introduces a new analysis framework that integrates a domain-specific language with ROOT's RDataFrame and JIT compilation, enabling efficient and customizable HEP data analysis.

Findings

Achieves near-native performance using ROOT's RDataFrame and cling JIT compiler.

Supports complex analyses with reusable components for NanoAOD data format.

Demonstrated successful application in CMS Run 2 analyses.

Abstract

With the LHC continuing to collect more data and experimental analyses becoming increasingly complex, tools to efficiently develop and execute these analyses are essential. The bamboo framework defines a domain-specific language, embedded in python, that allows to concisely express the analysis logic in a functional style. The implementation based on ROOT's RDataFrame and cling C++ JIT compiler approaches the performance of dedicated native code. Bamboo is currently being used for several CMS Run 2 analyses that rely on the NanoAOD data format, which will become more common in Run 3 and beyond, and for which many reusable components are included, but it provides many possibilities for customisation, which allow for straightforward adaptation to other formats and workflows