{
  "annotation_id": "488d7f89-5864-48fd-be95-0d44cfb526e9",
  "date_created": "2026-02-17T05:53:12.060000Z",
  "date_modified": "2026-02-17T05:53:12.060000Z",
  "file_hash": "c10e0649f86bc71353d445afd9728fabf807f1f5a647ed1eca1b72eb87cb253b",
  "private": false,
  "record": {
    "abstract": "During the LHC Long Shutdown 3 (2026-29) ALICE will replace its three innermost tracking layers by a new detector, the \"ITS3\". It will be based on newly developed, wafer-scale monolithic active pixel sensors, which are bent into truly cylindrical layers and held in place by light mechanics made from carbon foam. Unprecedented low values of material budget (0.09\\% $X_0$ per layer) and proximity to the interaction point (19 mm) lead to a factor two improvement in pointing resolutions for particles from very low $p_{\\mathrm{T}}$ (O(100 MeV/$c$)), achieving, for example, 20 $\\mu$m and 15 $\\mu$m in the transversal and longitudinal directions, respectively, for 1 GeV/$c$ particles. After a successful R\u0026D phase (2019-2023), which demonstrated the feasibility of this innovative detector and led to the Technical Design Report (https://cds.cern.ch/record/2890181/), the final sensor and mechanics are being developed right now.\n  This contribution will review the conceptual design and the main R\u0026D achievements, as well as the current activities and road to completion and installation. It includes a projection of the improved physics performance, in particular for heavy-flavor mesons and baryons, as well as for thermal dielectrons that will come into reach with this new detector installed.",
    "arxiv_id": "2601.07405",
    "authors": [
      "Jory Sonneveld"
    ],
    "categories": [
      "physics.ins-det",
      "hep-ex"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "title": "The design and expected performance of the ALICE ITS3 upgrade",
    "url": "https://arxiv.org/abs/2601.07405",
    "version": "v1"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "60f7ab35-ec47-46d2-b98b-c9dc0ff32b0a",
    "id": "arXiv Dataset",
    "type": "Model",
    "variant": "snapshot-2026-01-17",
    "version": "0.1.0"
  },
  "user_id": 1000002
}