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
EPJ Web of Conferences
Published
2025-01-01
DOI
https://doi.org/10.1051/epjconf/202533701145
Primary Topic
Particle Detector Development and Performance
Type
article
Field-Weighted Citation Impact
0.00

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article

Reconstruction in Key4hep using Gaudi

Xiaomei Zhang, F. Gaede, Jiaheng Zou, M. Fila et al.
EPJ Web of Conferences
Particle Detector Development and Performance
article

Reconstruction in Key4hep using Gaudi

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

EPJ Web of ConferencesVol. 337
University of Bonn (DE), Seoul National University (KR), Shandong University (CN), Deutsches Elektronen-Synchrotron DESY (DE), Institute of High Energy Physics (CN), European Organization for Nuclear Research (CH)
CERN, European Commission, Bundesministerium für Bildung und Forschung
Openalex Percentile: Top 88%
Particle Detector Development and Performance
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