{
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  "authors": [
    {
      "raw_name": "Jussi Auvinen", 
      "affiliations": [
        {
          "country": "USA", 
          "value": "Department of Physics, Duke University, Durham, North Carolina 27708, USA"
        }
      ], 
      "surname": "Auvinen", 
      "given_names": "Jussi", 
      "full_name": "Auvinen, Jussi"
    }, 
    {
      "raw_name": "Jonah E. Bernhard", 
      "affiliations": [
        {
          "country": "USA", 
          "value": "Department of Physics, Duke University, Durham, North Carolina 27708, USA"
        }
      ], 
      "surname": "Bernhard", 
      "given_names": "Jonah E.", 
      "full_name": "Bernhard, Jonah E."
    }, 
    {
      "raw_name": "Steffen A. Bass", 
      "affiliations": [
        {
          "country": "USA", 
          "value": "Department of Physics, Duke University, Durham, North Carolina 27708, USA"
        }
      ], 
      "surname": "Bass", 
      "given_names": "Steffen A.", 
      "full_name": "Bass, Steffen A."
    }, 
    {
      "raw_name": "Iurii Karpenko", 
      "affiliations": [
        {
          "country": "Italy", 
          "value": "INFN - Sezione di Firenze, I-50019 Sesto Fiorentino, Firenze, Italy"
        }
      ], 
      "surname": "Karpenko", 
      "given_names": "Iurii", 
      "full_name": "Karpenko, Iurii"
    }
  ], 
  "titles": [
    {
      "source": "APS", 
      "title": "Investigating the collision energy dependence of <math><mrow><mi>\u03b7</mi><mo>/</mo><mi>s</mi></mrow></math> in the beam energy scan at the BNL Relativistic Heavy Ion Collider using Bayesian statistics"
    }
  ], 
  "dois": [
    {
      "value": "10.1103/PhysRevC.97.044905"
    }
  ], 
  "publication_info": [
    {
      "journal_volume": "97", 
      "journal_title": "Physical Review C", 
      "material": "article", 
      "journal_issue": "4", 
      "year": 2018
    }
  ], 
  "$schema": "http://repo.scoap3.org/schemas/hep.json", 
  "acquisition_source": {
    "date": "2020-06-29T15:23:10.273845", 
    "source": "APS", 
    "method": "APS", 
    "submission_number": "bca49440b8c511eaad8602163e01809a"
  }, 
  "page_nr": [
    19
  ], 
  "license": [
    {
      "url": "https://creativecommons.org/licenses/by/4.0/", 
      "license": "CC-BY-4.0"
    }
  ], 
  "copyright": [
    {
      "statement": "Published by the American Physical Society", 
      "year": "2018"
    }
  ], 
  "control_number": "40019", 
  "record_creation_date": "2018-06-08T06:07:29.828960", 
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      "version_id": "d55a3674-65fd-465f-9db4-0a7d5f2ba874", 
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  "collections": [
    {
      "primary": "HEP"
    }, 
    {
      "primary": "Citeable"
    }, 
    {
      "primary": "Published"
    }
  ], 
  "arxiv_eprints": [
    {
      "categories": [
        "hep-ph"
      ], 
      "value": "1706.03666"
    }
  ], 
  "abstracts": [
    {
      "source": "APS", 
      "value": "We determine the probability distributions of the shear viscosity over the entropy density ratio <math><mrow><mi>\u03b7</mi><mo>/</mo><mi>s</mi></mrow></math> in the quark-gluon plasma formed in Au + Au collisions at <math><mrow><msqrt><msub><mi>s</mi><mrow><mi>N</mi><mi>N</mi></mrow></msub></msqrt><mo>=</mo><mn>19.6</mn><mo>,</mo><mspace width=\"0.16em\"></mspace><mn>39</mn></mrow></math>, and <math><mrow><mn>62.4</mn><mspace width=\"0.16em\"></mspace><mi>GeV</mi></mrow></math>, using Bayesian inference and Gaussian process emulators for a model-to-data statistical analysis that probes the full input parameter space of a transport + viscous hydrodynamics hybrid model. We find the most likely value of <math><mrow><mi>\u03b7</mi><mo>/</mo><mi>s</mi></mrow></math> to be larger at smaller <math><msqrt><msub><mi>s</mi><mrow><mi>N</mi><mi>N</mi></mrow></msub></msqrt></math>, although the uncertainties still allow for a constant value between 0.10 and 0.15 for the investigated collision energy range."
    }
  ], 
  "imprints": [
    {
      "date": "2018-04-13", 
      "publisher": "APS"
    }
  ]
}