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@INPROCEEDINGS{Carceller:642751,
      author       = {Carceller, Juan Miguel and Fang, Wenxing and Fila, Mateusz
                      and Francois, Brieuc and Gaede, Frank-Dieter and Ganis,
                      Gerardo and Hegner, Benedikt and Huang, Xingtao and Ko, Sang
                      Hyun and Li, Weidong and Li, Teng and Lin, Tao and Madlener,
                      Thomas and Reichenbach, Leonhard and Sailer, André and
                      Sasikumar, Swathi and Smiesko, Juraj and Stewart, Graeme A
                      and Tolosa-Delgado, Álvaro and Zhang, Xiaomei and Zou,
                      Jiaheng},
      title        = {{R}econstruction in {K}ey4hep using {G}audi},
      journal      = {The European physical journal / Web of Conferences},
      volume       = {337},
      issn         = {2100-014X},
      address      = {Les Ulis},
      publisher    = {EDP Sciences},
      reportid     = {PUBDB-2025-05600},
      pages        = {01145 -},
      year         = {2025},
      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 thereforein 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.},
      month         = {Oct},
      date          = {2024-10-19},
      organization  = {27th International Conference on
                       Computing in High Energy and Nuclear
                       Physics (CHEP 2024), Krakow (Poland),
                       19 Oct 2024 - 25 Oct 2024},
      cin          = {FTX},
      ddc          = {530},
      cid          = {I:(DE-H253)FTX-20210408},
      pnm          = {623 - Data Management and Analysis (POF4-623) / AIDAinnova
                      - Advancement and Innovation for Detectors at Accelerators
                      (101004761)},
      pid          = {G:(DE-HGF)POF4-623 / G:(EU-Grant)101004761},
      experiment   = {EXP:(DE-H253)FCC-20190101 / EXP:(DE-MLZ)NOSPEC-20140101},
      typ          = {PUB:(DE-HGF)16 / PUB:(DE-HGF)8},
      doi          = {10.1051/epjconf/202533701145},
      url          = {https://bib-pubdb1.desy.de/record/642751},
}