mkFit for track fitting with the CMS Phase-2 detector

Abstract

The mkFit algorithm provides an implementation of the Kalman filter-based track reconstruction algorithm that exploits both thread- and data-level parallelism. It has been adopted by the CMS Collaboration as the primary track building algorithm during the Run 3 of the LHC for both the online and offline track reconstruction sequences. Thanks to mkFit, an average speedup of a factor 3.5 is achieved in track building while retaining or improving physics performance. As a consequence of the speedup provided by mkFit in track building, track fitting has become a comparably significant component of the overall tracking time. Given the increased demands of the High-Luminosity Large Hadron Collider, further speedup can be achieved by extending mkFit to the track fitting task. We present preliminary results for track fitting in the CMS High-Level Trigger using mkFit, covering both the physics and the computational performance, based on realistic Phase-2 simulations.

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BibTeX RIS

BibTeX

@misc{giannini2026mkfit,
  title = {{mkFit for track fitting with the CMS Phase-2 detector}},
  author = {Leonardo Giannini and Emmanouil Vourliotis},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.24659},
  eprint = {2609.24659},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.24659},
  note = {CC BY 4.0},
}

RIS

TY  - UNPB
TI  - mkFit for track fitting with the CMS Phase-2 detector
AU  - Leonardo Giannini
AU  - Emmanouil Vourliotis
PY  - 2026
DA  - 2026/09/21
PB  - arXiv
DO  - 10.48550/arxiv.2609.24659
UR  - https://arxiv.org/abs/2609.24659
AB  - The mkFit algorithm provides an implementation of the Kalman filter-based track reconstruction algorithm that exploits both thread- and data-level parallelism. It has been adopted by the CMS Collaboration as the primary track building algorithm during the Run 3 of the LHC for both the online and offline track reconstruction sequences. Thanks to mkFit, an average speedup of a factor 3.5 is achieved in track building while retaining or improving physics performance. As a consequence of the speedup provided by mkFit in track building, track fitting has become a comparably significant component of the overall tracking time. Given the increased demands of the High-Luminosity Large Hadron Collider, further speedup can be achieved by extending mkFit to the track fitting task. We present preliminary results for track fitting in the CMS High-Level Trigger using mkFit, covering both the physics and the computational performance, based on realistic Phase-2 simulations.
ER  -

Abstract

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