A biased MC for muon production for beam-dump experiments

Stefan Ghinescu (Horia Hulubei National Institute of Physics and Nuclear Engineering, 30 Reactorului, Magurele, 077125, Romania) ; Babette Döbrich (CERN, Esplanade des Particules 1, Geneva 23, 1211, Switzerland) ; Elisa Minucci (CERN, Esplanade des Particules 1, Geneva 23, 1211, Switzerland) ; Tommaso Spadaro (Laboratori Nazionali di Frascati INFN, Via E. Fermi 40, Frascati, 00044, Italy)

The search for feebly-interacting new-physics particles in the MeV-GeV mass range often involves high-intensity beams dumped into thick heavy targets. The challenge of evaluating the expected backgrounds for these searches from first principles is limited by the CPU time needed to generate the shower induced by the primary beam. We present a Monte Carlo biasing method allowing a three orders of magnitude increase in the efficiency for the simulation of the muon production in a 400 GeV/c proton beam-dump setup. At the same time, this biasing method is maintaining nearly every feature of a simulation from first principles.

{
  "_oai": {
    "updated": "2021-10-07T00:44:00Z", 
    "id": "oai:repo.scoap3.org:64218", 
    "sets": [
      "EPJC"
    ]
  }, 
  "authors": [
    {
      "affiliations": [
        {
          "country": "Romania", 
          "value": "Horia Hulubei National Institute of Physics and Nuclear Engineering, 30 Reactorului, Magurele, 077125, Romania", 
          "organization": "Horia Hulubei National Institute of Physics and Nuclear Engineering"
        }
      ], 
      "surname": "Ghinescu", 
      "email": "stefan.alexandru.ghinescu@cern.ch", 
      "full_name": "Ghinescu, Stefan", 
      "given_names": "Stefan"
    }, 
    {
      "affiliations": [
        {
          "country": "CERN", 
          "value": "CERN, Esplanade des Particules 1, Geneva 23, 1211, Switzerland", 
          "organization": "CERN"
        }
      ], 
      "surname": "D\u00f6brich", 
      "email": "babette.dobrich@cern.ch", 
      "full_name": "D\u00f6brich, Babette", 
      "given_names": "Babette"
    }, 
    {
      "affiliations": [
        {
          "country": "CERN", 
          "value": "CERN, Esplanade des Particules 1, Geneva 23, 1211, Switzerland", 
          "organization": "CERN"
        }
      ], 
      "surname": "Minucci", 
      "email": "elisa.minucci@cern.ch", 
      "full_name": "Minucci, Elisa", 
      "given_names": "Elisa"
    }, 
    {
      "affiliations": [
        {
          "country": "Italy", 
          "value": "Laboratori Nazionali di Frascati INFN, Via E. Fermi 40, Frascati, 00044, Italy", 
          "organization": "Laboratori Nazionali di Frascati INFN"
        }
      ], 
      "surname": "Spadaro", 
      "email": "tommaso.spadaro@cern.ch", 
      "full_name": "Spadaro, Tommaso", 
      "given_names": "Tommaso"
    }
  ], 
  "titles": [
    {
      "source": "Springer", 
      "title": "A biased MC for muon production for beam-dump experiments"
    }
  ], 
  "dois": [
    {
      "value": "10.1140/epjc/s10052-021-09541-7"
    }
  ], 
  "publication_info": [
    {
      "page_end": "6", 
      "journal_title": "European Physical Journal C", 
      "material": "article", 
      "journal_volume": "81", 
      "artid": "s10052-021-09541-7", 
      "year": 2021, 
      "page_start": "1", 
      "journal_issue": "8"
    }
  ], 
  "$schema": "http://repo.scoap3.org/schemas/hep.json", 
  "acquisition_source": {
    "date": "2021-10-07T00:32:53.446144", 
    "source": "Springer", 
    "method": "Springer", 
    "submission_number": "b4c33e66270511ecb53772fd3742099d"
  }, 
  "page_nr": [
    6
  ], 
  "license": [
    {
      "url": "https://creativecommons.org/licenses//by/4.0", 
      "license": "CC-BY-4.0"
    }
  ], 
  "copyright": [
    {
      "holder": "The Author(s)", 
      "year": "2021"
    }
  ], 
  "control_number": "64218", 
  "record_creation_date": "2021-08-24T06:30:24.128903", 
  "_files": [
    {
      "checksum": "md5:2b8b143cca938da0201ff5bdfa3eb93d", 
      "filetype": "xml", 
      "bucket": "c2d26d29-5727-49f2-80db-f00957409b87", 
      "version_id": "63dab0f2-d63c-4494-b6cb-86c8ee6492cc", 
      "key": "10.1140/epjc/s10052-021-09541-7.xml", 
      "size": 13086
    }, 
    {
      "checksum": "md5:ca438442db7c96408c8699fb94a664f8", 
      "filetype": "pdf/a", 
      "bucket": "c2d26d29-5727-49f2-80db-f00957409b87", 
      "version_id": "94a7f98c-32fe-4d9c-8612-571e017dc5f8", 
      "key": "10.1140/epjc/s10052-021-09541-7_a.pdf", 
      "size": 1442826
    }
  ], 
  "collections": [
    {
      "primary": "European Physical Journal C"
    }
  ], 
  "arxiv_eprints": [
    {
      "categories": [
        "hep-ex", 
        "physics.data-an"
      ], 
      "value": "2106.01932v2"
    }
  ], 
  "abstracts": [
    {
      "source": "Springer", 
      "value": "The search for feebly-interacting new-physics particles in the MeV-GeV mass range often involves high-intensity beams dumped into thick heavy targets. The challenge of evaluating the expected backgrounds for these searches from first principles is limited by the CPU time needed to generate the shower induced by the primary beam. We present a Monte Carlo biasing method allowing a three orders of magnitude increase in the efficiency for the simulation of the muon production in a 400 GeV/c proton beam-dump setup. At the same time, this biasing method is maintaining nearly every feature of a simulation from first principles."
    }
  ], 
  "imprints": [
    {
      "date": "2021-08-24", 
      "publisher": "Springer"
    }
  ]
}
Published on:
24 August 2021
Publisher:
Springer
Published in:
European Physical Journal C , Volume 81 (2021)
Issue 8
Pages 1-6
DOI:
https://doi.org/10.1140/epjc/s10052-021-09541-7
arXiv:
2106.01932v2
Copyrights:
The Author(s)
Licence:
CC-BY-4.0

Fulltext files: