{
  "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.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2609.20135",
  "author_total": 1,
  "authors": [
    {
      "name": "Emmanouil Vourliotis"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/ap0xd3byawnqn.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2609.20135",
  "fulltext_url": null,
  "id": "ap0xd3byawnqn",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2609.20135",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "http://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "hep-ex"
    ],
    [
      "arxiv",
      "physics.ins-det"
    ],
    [
      "openalex",
      "3106|Particle Detector Development and Performance"
    ]
  ],
  "openalex": "W7213612031",
  "pdf_url": "https://arxiv.org/pdf/2609.20135",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-17",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/ap0xd3byawnqn.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:22:19Z",
      "native_id": "2609.20135",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2609.20135"
    }
  ],
  "subjects": [
    {
      "field": "physics",
      "origin": "arxiv:physics.ins-det",
      "subfield": "applied-instrumentation"
    },
    {
      "field": "physics",
      "origin": "arxiv:hep-ex",
      "subfield": "high-energy"
    }
  ],
  "title": "A heterogeneous and vectorized sequence for the HL-LHC full tracking reconstruction of the CMS experiment",
  "title_text": "A heterogeneous and vectorized sequence for the HL-LHC full tracking reconstruction of the CMS experiment",
  "type": "preprint",
  "updated_at": "2026-10-30T12:22:19Z",
  "url": "https://research.draconitic.com/paper/ap0xd3byawnqn",
  "venue": "arXiv",
  "versions": []
}