Application of traccc to the CEPC Vertex Detector

The Circular Electron Positron Collider (CEPC) is a future experiment mainly designed to precisely measure the Higgs boson’s properties, study electroweak physics at the Z-boson peak, and search for new physics beyond the Standard Model. In the design of the CEPC detector, the Vertex Detector (VTX) is the innermost tracker playing a dominant role in determining the vertexes of a collision event. The VTX detector is also responsible for providing seeds for the track following algorithms to find tracks in the outer trackers. traccc is one of the R&D lines aiming for developing the demonstrator for a full tracking chain for accelerators within the ACTS project. This contribution presents the implementation of the track seed-finding algorithm for the VTX detector based on traccc in the CEPC software (CEPCSW) environment. The integration of traccc with the CEPCSW, which is using Gaudi as the underlying framework and employing DD4hep as detector description tool and EDM4hep as the event data model, will be introduced. The CEPC VTX detector has three layers and both sides of each layer are mounted with silicon pixel sensors. To accommodate this specific detector structure, the default track seed-finding algorithm in traccc, which creates three-space-points seeds, has been extended for six space points case. This contribution will also describe the solution of using one common memory for both EDM4hep and VecMem to avoid the overhead from data copy. For all the above work, both physics performance and computing performance are measured and will be presented.

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Publication Details

Journal
EPJ Web of Conferences
Published
2025-01-01
DOI
https://doi.org/10.1051/epjconf/202533701092
Citations
1
Primary Topic
Particle Detector Development and Performance
Type
article
Field-Weighted Citation Impact
1.87

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article

Application of traccc to the CEPC Vertex Detector

Xingtao Huang, W. D. Li, X. Ai, J. H. Zou et al.
1 citations
EPJ Web of Conferences
Particle Detector Development and Performance
1.87
article

Application of traccc to the CEPC Vertex Detector

Xingtao Huang, W. D. Li, X. Ai, J. H. Zou, Teng Li, Tao Lin, Yizhou Zhang
article en
1 citations

Abstract

The Circular Electron Positron Collider (CEPC) is a future experiment mainly designed to precisely measure the Higgs boson’s properties, study electroweak physics at the Z-boson peak, and search for new physics beyond the Standard Model. In the design of the CEPC detector, the Vertex Detector (VTX) is the innermost tracker playing a dominant role in determining the vertexes of a collision event. The VTX detector is also responsible for providing seeds for the track following algorithms to find tracks in the outer trackers. traccc is one of the R&D lines aiming for developing the demonstrator for a full tracking chain for accelerators within the ACTS project. This contribution presents the implementation of the track seed-finding algorithm for the VTX detector based on traccc in the CEPC software (CEPCSW) environment. The integration of traccc with the CEPCSW, which is using Gaudi as the underlying framework and employing DD4hep as detector description tool and EDM4hep as the event data model, will be introduced. The CEPC VTX detector has three layers and both sides of each layer are mounted with silicon pixel sensors. To accommodate this specific detector structure, the default track seed-finding algorithm in traccc, which creates three-space-points seeds, has been extended for six space points case. This contribution will also describe the solution of using one common memory for both EDM4hep and VecMem to avoid the overhead from data copy. For all the above work, both physics performance and computing performance are measured and will be presented.

EPJ Web of ConferencesVol. 337
Shandong University (CN), Chinese Academy of Sciences (CN), Zhengzhou University (CN), Institute of High Energy Physics (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China, Youth Innovation Promotion Association of the Chinese Academy of Sciences, Youth Innovation Promotion Association
Openalex Percentile: Top 11%
Particle Detector Development and Performance
1.87
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