{
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  "authors": [
    {
      "affiliations": [
        {
          "country": "China", 
          "value": "Department of Physics, School of Mathematics and Physics, Xi\u2019an Jiaotong-Liverpool University, Suzhou, 215123, China", 
          "organization": "Xi\u2019an Jiaotong-Liverpool University"
        }
      ], 
      "surname": "Fowlie", 
      "email": "andrew.fowlie@xjtlu.edu.cn", 
      "full_name": "Fowlie, Andrew", 
      "given_names": "Andrew"
    }, 
    {
      "affiliations": [
        {
          "country": "China", 
          "value": "Department of Physics, Institute of Theoretical Physics, Nanjing Normal University, Nanjing, Jiangsu, 210023, China", 
          "organization": "Nanjing Normal University"
        }
      ], 
      "surname": "Li", 
      "email": "qiaoli@njnu.edu.cn", 
      "full_name": "Li, Qiao", 
      "given_names": "Qiao"
    }
  ], 
  "titles": [
    {
      "source": "Springer", 
      "title": "Modeling the R-ratio and hadronic contributions to  $$g-2$$  <math> <mrow> <mi>g</mi> <mo>-</mo> <mn>2</mn> </mrow> </math>   with a Treed Gaussian process"
    }
  ], 
  "dois": [
    {
      "value": "10.1140/epjc/s10052-023-12110-9"
    }
  ], 
  "publication_info": [
    {
      "page_end": "13", 
      "journal_title": "European Physical Journal C", 
      "material": "article", 
      "journal_volume": "83", 
      "artid": "s10052-023-12110-9", 
      "year": 2023, 
      "page_start": "1", 
      "journal_issue": "10"
    }
  ], 
  "$schema": "http://repo.scoap3.org/schemas/hep.json", 
  "acquisition_source": {
    "date": "2024-03-23T00:30:47.668835", 
    "source": "Springer", 
    "method": "Springer", 
    "submission_number": "7ba03dd0e8ac11eeae4696b6a0e1ccbd"
  }, 
  "page_nr": [
    13
  ], 
  "license": [
    {
      "url": "https://creativecommons.org/licenses//by/4.0", 
      "license": "CC-BY-4.0"
    }
  ], 
  "copyright": [
    {
      "holder": "The Author(s)", 
      "year": "2023"
    }
  ], 
  "control_number": "80999", 
  "record_creation_date": "2023-10-19T12:30:13.309879", 
  "_files": [
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      "checksum": "md5:de20b5bf4866f78e2ff8d49b945395b4", 
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      "version_id": "e730111d-a013-4689-bb03-4c28764efde7", 
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      "size": 13148
    }, 
    {
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      "version_id": "fa60eab8-72f3-4bfc-991a-b6b3b26ebb56", 
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  ], 
  "collections": [
    {
      "primary": "European Physical Journal C"
    }
  ], 
  "abstracts": [
    {
      "source": "Springer", 
      "value": "The BNL and FNAL measurements of the anomalous magnetic moment of the muon disagree with the Standard Model (SM) prediction by more than  $$4\\sigma $$  <math> <mrow> <mn>4</mn> <mi>\u03c3</mi> </mrow> </math>  . The hadronic vacuum polarization (HVP) contributions are the dominant source of uncertainty in the SM prediction. There are, however, tensions between different estimates of the HVP contributions, including data-driven estimates based on measurements of the R-ratio. To investigate that tension, we modeled the unknown R-ratio as a function of CM energy with a treed Gaussian process (TGP). This is a principled and general method grounded in data-science that allows complete uncertainty quantification and automatically balances over- and under-fitting to noisy data. Our tool yields exploratory results are similar to previous ones and we find no indication that the R-ratio was previously mismodeled. Whilst we advance some aspects of modeling the R-ratio and develop new tools for doing so, a competitive estimate of the HVP contributions requires domain-specific expertise and a carefully curated database of measurements (github,  https://github.com/qiao688/TGP_for_g-2  )."
    }
  ], 
  "imprints": [
    {
      "date": "2023-10-19", 
      "publisher": "Springer"
    }
  ]
}