Skip to content
DraconiticResearch
Search Sources API
203,203 studies31 sourcesUpdated 2 min ago
PreprintCC BY 4.0arXiv

A heterogeneous and vectorized sequence for the HL-LHC full tracking reconstruction of the CMS experiment

  • Emmanouil Vourliotis
Open at sourcePDFDOICite

Abstract

This contribution presents the new baseline strategy for the Phase-2 tracking of the CMS experiment for online event reconstruction, and for the main iteration of offline tracking. This tracking sequence takes advantage of the combination of cutting-edge tracking algorithms that are either optimized for parallel execution on GPUs (Patatrack and LST), or vectorized for efficient CPU performance (mkFit). Such a combined approach offers an effective solution to deal with the unprecedented computational challenges caused by the large number of simultaneous collisions per bunch crossing expected at the High-Luminosity Large Hadron Collider (HL-LHC). The proposed combination not only reduces the computational resource requirements but also enhances the physics reach by incorporating displaced tracking and increasingly leveraging machine learning techniques.

Related

  1. Qlippy: A Retrieval-Augmented GenAI Assistant for Reproducible Quantum Workflows and Experiment Tracking
    Mahee Gamage, Vlad Stirbu
    arXivPreprintCC BY 4.0Full textQuantum physics & quantum informationarXiv
  2. GNN-based track reconstruction for MUonE experiment
    Damian Mizera, Mateusz Goncerz, Izabela Juszczak +3
    arXivPreprintCC BY 4.0Full textHigh-energy & particle physicsarXiv
  3. An enhanced track reconstruction for the CMS experiment at the HL-LHC
    Mario Masciovecchio
    arXivPreprintCC BY-NC-ND 4.0Full textApplied physics & instrumentationHigh-energy & particle physicsarXiv
  4. Improving the CMS High Level Trigger tracking at the HL-LHC with novel and evolved heterogeneous algorithms
    Mario Masciovecchio
    arXivPreprintCC BY-NC-ND 4.0Full textApplied physics & instrumentationHigh-energy & particle physicsarXiv
  5. From Hits to Tracks: A BERT-based Tracking Model for Track Reconstruction in Drift Chambers
    Yipu Liao, Yao Zhang, Jingde Chen +6
    arXivPreprintarXiv licenceFull textHigh-energy & particle physicsarXiv

Cite

BibTeXRIS
BibTeX
@misc{vourliotis2026heterogeneous,
  title = {{A heterogeneous and vectorized sequence for the HL-LHC full tracking reconstruction of the CMS experiment}},
  author = {Emmanouil Vourliotis},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.20135},
  eprint = {2609.20135},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.20135},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - A heterogeneous and vectorized sequence for the HL-LHC full tracking reconstruction of the CMS experiment
AU  - Emmanouil Vourliotis
PY  - 2026
DA  - 2026/09/17
PB  - arXiv
DO  - 10.48550/arxiv.2609.20135
UR  - https://arxiv.org/abs/2609.20135
AB  - This contribution presents the new baseline strategy for the Phase-2 tracking of the CMS experiment for online event reconstruction, and for the main iteration of offline tracking. This tracking sequence takes advantage of the combination of cutting-edge tracking algorithms that are either optimized for parallel execution on GPUs (Patatrack and LST), or vectorized for efficient CPU performance (mkFit). Such a combined approach offers an effective solution to deal with the unprecedented computational challenges caused by the large number of simultaneous collisions per bunch crossing expected at the High-Luminosity Large Hadron Collider (HL-LHC). The proposed combination not only reduces the computational resource requirements but also enhances the physics reach by incorporating displaced tracking and increasingly leveraging machine learning techniques.
ER  -