{
  "abstract": "We present methods for electromagnetic shower reconstruction and identification in the FASERnu emulsion detector using 100 GeV and 200 GeV electron test-beam data from the CERN SPS H4 beamline. The reconstruction employs a clustering-based algorithm without energy-dependent tuning to determine shower axes. A multi-level identification chain comprising track pre-selection, a cut-based selection, and a BDT classifier achieves combined background rejection rates of 99.99% (100 GeV) and 99.94% (200 GeV). The method reaches total reconstruction and identification efficiencies of 58.9% (100 GeV) and 70.8% (200 GeV) evaluated from simulated samples. Energy reconstruction using the total number of reconstructed segments as the calorimetric estimator yields relative biases of +0.6% (100 GeV) and -0.8% (200 GeV), with resolutions of 25.4% and 22.6%, respectively. Systematic uncertainties on the energy reconstruction are dominated by variations in emulsion film detection efficiency, with totals of (+10.9%/-8.2%) at 100 GeV and (+10.3%/-6.9%) at 200 GeV. The methodology provides a validated framework for electron neutrino identification with the FASERnu detector at the LHC.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": "Journal reference: JINST 21 (2026) P10044",
  "arxiv": "2606.18517",
  "author_total": 135,
  "authors": [
    {
      "name": "FASER Collaboration"
    },
    {
      "name": "Roshan Mammen Abraham"
    },
    {
      "name": "Xiaocong Ai"
    },
    {
      "name": "Saul Alonso Monsalve"
    },
    {
      "name": "John Anders"
    },
    {
      "name": "Emma Kate Anderson"
    },
    {
      "name": "Akitaka Ariga"
    },
    {
      "name": "Tomoko Ariga"
    },
    {
      "name": "Jeremy Atkinson"
    },
    {
      "name": "Florian U. Bernlochner"
    },
    {
      "name": "Jianming Bian"
    },
    {
      "name": "Tobias Boeckh"
    },
    {
      "name": "Eliot Bornand"
    },
    {
      "name": "Jamie Boyd"
    },
    {
      "name": "Lydia Brenner"
    },
    {
      "name": "Angela Burger"
    },
    {
      "name": "Franck Cadoux"
    },
    {
      "name": "Roberto Cardella"
    },
    {
      "name": "David W. Casper"
    },
    {
      "name": "Charlotte Cavanagh"
    },
    {
      "name": "Shiyang Chen"
    },
    {
      "name": "Xin Chen"
    },
    {
      "name": "Xing Cheng"
    },
    {
      "name": "Dhruv Chouhan"
    },
    {
      "name": "Andrea Coccaro"
    },
    {
      "name": "Fabio Cufino"
    },
    {
      "name": "Stephane Débieux"
    },
    {
      "name": "Ansh Desai"
    },
    {
      "name": "Sergey Dmitrievsky"
    },
    {
      "name": "Radu Dobre"
    },
    {
      "name": "Monica D'Onofrio"
    },
    {
      "name": "Sinead Eley"
    },
    {
      "name": "Yannick Favre"
    },
    {
      "name": "Jonathan L. Feng"
    },
    {
      "name": "Carlo Alberto Fenoglio"
    },
    {
      "name": "Didier Ferrere"
    },
    {
      "name": "Max Fieg"
    },
    {
      "name": "Wissal Filali"
    },
    {
      "name": "Elena Firu"
    },
    {
      "name": "Haruhi Fujimori"
    },
    {
      "name": "Edward Galantay"
    },
    {
      "name": "Stephen Gibson"
    },
    {
      "name": "Sergio Gonzalez-Sevilla"
    },
    {
      "name": "Yuri Gornushkin"
    },
    {
      "name": "Yotam Granov"
    },
    {
      "name": "Jinjing Gu"
    },
    {
      "name": "Carl Gwilliam"
    },
    {
      "name": "Elie Hammou"
    },
    {
      "name": "Daiki Hayakawa"
    },
    {
      "name": "Michael Holzbock"
    },
    {
      "name": "Shih-Chieh Hsu"
    },
    {
      "name": "Zhen Hu"
    },
    {
      "name": "Giuseppe Iacobucci"
    },
    {
      "name": "Tomohiro Inada"
    },
    {
      "name": "Luca Iodice"
    },
    {
      "name": "Sune Jakobsen"
    },
    {
      "name": "Cesar Jesus-Valls"
    },
    {
      "name": "Arash Jofrehei"
    },
    {
      "name": "Hans Joos"
    },
    {
      "name": "Enrique Kajomovitz"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/1a8b57wn1wmvb.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2606.18517",
  "fulltext_url": null,
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  "landing_url": "https://arxiv.org/abs/2606.18517",
  "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"
    ],
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      "openalex",
      "3106|Particle Detector Development and Performance"
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  "openalex": "W7165168694",
  "pdf_url": "https://arxiv.org/pdf/2606.18517",
  "pmcid": null,
  "pmid": null,
  "published": "2026-08-24",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/1a8b57wn1wmvb.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:36:28Z",
      "native_id": "2606.18517",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2606.18517"
    }
  ],
  "subjects": [
    {
      "field": "physics",
      "origin": "arxiv:hep-ex",
      "subfield": "high-energy"
    }
  ],
  "title": "Electromagnetic Shower Reconstruction and Identification in FASER's Emulsion Detector for LHC Forward Neutrino Measurements",
  "title_text": "Electromagnetic Shower Reconstruction and Identification in FASER's Emulsion Detector for LHC Forward Neutrino Measurements",
  "type": "preprint",
  "updated_at": "2026-11-01T12:20:47Z",
  "url": "https://research.draconitic.com/paper/1a8b57wn1wmvb",
  "venue": "arXiv",
  "versions": [
    {
      "doi": "10.1088/1748-0221/21/10/p10044",
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}