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      "surname": "Buckley", 
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      "full_name": "Buckley, Andy", 
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          "country": "USA", 
          "value": "University of California, Santa Barbara, California, U.S.A.", 
          "organization": "University of California"
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      "surname": "Citron", 
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      "full_name": "Citron, Matthew", 
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          "country": "USA", 
          "value": "Walter Burke Institute for Theoretical Physics, California Institute of Technology, Pasadena, CA, 91125, U.S.A.", 
          "organization": "Walter Burke Institute for Theoretical Physics, California Institute of Technology"
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          "country": "Brazil", 
          "value": "ICTP-SAIFR & IFT-UNESP, R. Dr. Bento Teobaldo Ferraz 271, S\u00e3o Paulo, Brazil", 
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          "country": "France", 
          "value": "Laboratoire de Physique Subatomique et de Cosmologie, Universit\u00e9 Grenoble-Alpes, CNRS/IN2P3, 53 Avenue des Martyrs, Grenoble, F-38026, France", 
          "organization": "Universit\u00e9 Grenoble-Alpes, CNRS/IN2P3"
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          "country": "Austria", 
          "value": "Institut f\u00fcr Hochenergiephysik, \u00d6sterreichische Akademie der Wissenschaften, Nikolsdorfer Gasse 18, Wien, 1050, Austria", 
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          "country": "Austria", 
          "value": "Faculty of Physics, University of Vienna, Boltzmanngasse 5, Wien, 1090, Austria", 
          "organization": "University of Vienna"
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      "surname": "Waltenberger", 
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          "value": "Imperial College London, South Kensington, London, U.K.", 
          "organization": "Imperial College London"
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      "surname": "Wardle", 
      "email": "nckw@cern.ch", 
      "full_name": "Wardle, Nicholas", 
      "given_names": "Nicholas"
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  "titles": [
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      "title": "The simplified likelihood framework"
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      "year": "2019"
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  "abstracts": [
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      "source": "Springer", 
      "value": "We discuss the simplified likelihood framework as a systematic approximation scheme for experimental likelihoods such as those originating from LHC experiments. We develop the simplified likelihood from the Central Limit Theorem keeping the next-to-leading term in the large N expansion to correctly account for asymmetries. Moreover, we present an efficient method to compute the parameters of the simplified likelihood from Monte Carlo simulations. The approach is validated using a realistic LHC-like analysis, and the limits of the approximation are explored. Finally, we discuss how the simplified likelihood data can be conveniently released in the HepData error source format and automatically built from it, making this framework a convenient tool to transmit realistic experimental likelihoods to the community."
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