{
  "abstract": "The Search for Cosmic Exotic Particles (SCEP) experiment proposes a multilayer magnetic monopole (MM) detection array with a target exposure of O(10^4) m^2 year. Continuously recording the raw waveforms at this scale would generate approximately O(10) EB of data per year, making full waveform storage impractical. A Level-1 trigger is therefore required to reduce the stored-data volume while retaining rare MM signals. MM waveforms vary with particle velocity and trajectory, so a single filter kernel cannot match all possible signals. A mismatch between the kernel and the signal waveform can reduce the detection probability. This work therefore develops a compact template-bank construction method for MM detection. Each incoming waveform is filtered with all kernels in the bank, and the best-matched kernel is identified from their responses. A multilayer perceptron (MLP) trigger is further developed to combine all template responses and improve signal detection. With a 31-sample window and a stored-data fraction of 10^(-3), the MLP increases the mean net acceptance P_net from 6.72% for the conventional template-bank trigger to 8.79%, a relative improvement of 30.8%. The network is then implemented on a Xilinx AC701 board equipped with a field-programmable gate array (FPGA) to process a 20-bit input waveform sampled at 1 MHz using 200 MHz trigger logic. At the target stored-data fraction, the fixed-point implementation reduces P_net by only 3/(3.2 x 10^6) relative to the floating-point reference. On-board tests reproduce the bit-accurate reference trigger outputs and sustain continuous 1 MHz processing without dropped input samples, verifying the functional correctness and real-time operation of the FPGA-based Level-1 trigger.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2609.21837",
  "author_total": 7,
  "authors": [
    {
      "name": "Changqing Ye"
    },
    {
      "name": "Yunhan Wang"
    },
    {
      "name": "Yifan Qiao"
    },
    {
      "name": "Zhe Cao"
    },
    {
      "name": "Beige Liu"
    },
    {
      "name": "Qing Lin"
    },
    {
      "name": "Lei Zhao"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/330qcwts1eekb.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2609.21837",
  "fulltext_url": null,
  "id": "330qcwts1eekb",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2609.21837",
  "language": null,
  "licence": "LicenseRef-arXiv-nonexclusive-1.0",
  "licence_label": "arXiv licence",
  "licence_source": "article",
  "licence_url": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "astro-ph.IM"
    ],
    [
      "arxiv",
      "physics.ins-det"
    ],
    [
      "openalex",
      "3106|Particle Detector Development and Performance"
    ]
  ],
  "openalex": "W7213866405",
  "pdf_url": "https://arxiv.org/pdf/2609.21837",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-18",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/330qcwts1eekb.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:23:03Z",
      "native_id": "2609.21837",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2609.21837"
    }
  ],
  "subjects": [
    {
      "field": "astronomy",
      "origin": "arxiv:astro-ph.IM",
      "subfield": "instrumentation-methods"
    },
    {
      "field": "physics",
      "origin": "arxiv:physics.ins-det",
      "subfield": "applied-instrumentation"
    }
  ],
  "title": "A Deep Neural Network based Level-1 Trigger for the Magnetic Monopole Search in the SCEP Experiment",
  "title_text": "A Deep Neural Network based Level-1 Trigger for the Magnetic Monopole Search in the SCEP Experiment",
  "type": "preprint",
  "updated_at": "2026-10-30T12:23:03Z",
  "url": "https://research.draconitic.com/paper/330qcwts1eekb",
  "venue": "arXiv",
  "versions": []
}