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February 5, 20260 citations

An implementation of the parallelized General Triplet Track Fit for GPUs

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SDSebastian DittmeierANAbhirikshma NandiCSChristof Sauer

Key Points

  • The study aims to enhance track fitting algorithms for high momentum tracks in collider experiments by utilizing GPU acceleration.
  • Developed a General Triplet Track Fit algorithm that accounts for hit uncertainties.
  • Implemented the fitting algorithm on GPUs for parallel processing.
  • Validated the fit through a standalone implementation using minimal simulation.
  • Integrated the fit within the traccc tracking chain for hardware accelerators.
  • Successfully demonstrated acceleration of the General Triplet Track Fit using GPUs.
  • Validated fit performance with improved efficiency in online reconstruction.
  • Showed significant processing speed advantages compared to traditional methods.

Abstract

The General Triplet Track Fit (GTTF) is a generalization of the Multiple Scattering-only Triplet Fit to additionally take hit uncertainties into account. This makes it suitable for use in collider experiments, where the position uncertainties of hits dominate for high momentum tracks. Since the GTTF is based on triplets of hits that can be processed independently, the fit is particularly suitable for acceleration with parallel hardware such as GPUs, and can therefore be used for fast track fitting in online reconstruction. The fitting algorithm is validated with a standalone implementation, using a minimal simulation. A first implementation of the fit is also done in traccc, a demonstrator tracking chain designed for hardware accelerators under the umbrella of the ACTS track reconstruction framework. The implementation in traccc is studied using the OpenDataDetector.

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Cite This Study

Dittmeier et al. (2025) studied this question.

synapsesocial.com/papers/698434ebf1d9ada3c1fb3a29https://doi.org/10.1051/epjconf/202533701196/pdf
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