Reconstruction in Key4hep using Gaudi

Key4hep, a software framework and stack for future accelerators, integrates all the steps in the typical offline pipeline: generation, simulation, reconstruction and analysis. The different components of Key4hep use a common event data model, called EDM4hep. For reconstruction, Key4hep leverages Gaudi, a proven framework already in use by several experiments at the LHC, to orchestrate configuration and execution of reconstruction algorithms. In this contribution, a brief overview of Gaudi is given. The specific developments built to make Gaudi work seamlessly with EDM4hep (and therefore in Key4hep) are explained, as well as other improvements requested by the Key4hep community. The list of developments includes a new I/O service to run algorithms that read or write EDM4hep files in multithreading in a threadsafe way and a possibility to easily switch the EDM4hep I/O to the new ROOT RNTuple format for reading or writing. We show that both native (algorithms that use EDM4hep as input and output) and non-native algorithms from the ILC community can run together in Key4hep, picking up on knowledge and software developed over many years. A few examples of algorithms that have been created or ported to Key4hep recently are given, featuring the usage of Key4hep-specific features.

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Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-10-07
DOI
https://doi.org/10.1051/epjconf/202533701145/pdf
Primary Topic
Particle Accelerators and Free-Electron Lasers
Type
article
Field-Weighted Citation Impact
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article

Reconstruction in Key4hep using Gaudi

F. Gaede, Sang Hyun Ko, G. Ganis, Xingtao Huang et al.
Springer Link (Chiba Institute of Technology)
Particle Accelerators and Free-Electron Lasers
article

Reconstruction in Key4hep using Gaudi

F. Gaede, Sang Hyun Ko, G. Ganis, Xingtao Huang, Swathi Sasikumar, André Sailer, Brieuc Francois, Juraj Smiesko, Juan Miguel Carceller, Tao Lin, Weidong Li, Benedikt Hegner, Teng Li, Wenxing Fang, Álvaro Tolosa-Delgado, Leonhard Reichenbach, Jiaheng Zou, Mateusz Fila, Graeme Andrew Stewart, Xiaomei Zhang
article en

Abstract

Key4hep, a software framework and stack for future accelerators, integrates all the steps in the typical offline pipeline: generation, simulation, reconstruction and analysis. The different components of Key4hep use a common event data model, called EDM4hep. For reconstruction, Key4hep leverages Gaudi, a proven framework already in use by several experiments at the LHC, to orchestrate configuration and execution of reconstruction algorithms. In this contribution, a brief overview of Gaudi is given. The specific developments built to make Gaudi work seamlessly with EDM4hep (and therefore in Key4hep) are explained, as well as other improvements requested by the Key4hep community. The list of developments includes a new I/O service to run algorithms that read or write EDM4hep files in multithreading in a threadsafe way and a possibility to easily switch the EDM4hep I/O to the new ROOT RNTuple format for reading or writing. We show that both native (algorithms that use EDM4hep as input and output) and non-native algorithms from the ILC community can run together in Key4hep, picking up on knowledge and software developed over many years. A few examples of algorithms that have been created or ported to Key4hep recently are given, featuring the usage of Key4hep-specific features.

Springer Link (Chiba Institute of Technology)
Quality Education
Openalex Percentile: Top 37%
Particle Accelerators and Free-Electron Lasers
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