4.7 Article

HiggsSignals-2: probing new physics with precision Higgs measurements in the LHC 13 TeV era

期刊

EUROPEAN PHYSICAL JOURNAL C
卷 81, 期 2, 页码 -

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SPRINGER
DOI: 10.1140/epjc/s10052-021-08942-y

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资金

  1. MEINCOP (Spain) [FPA2016-78022-P, PID2019-110058GB-C21]
  2. Spanish Agencia Estatal de Investigacion (AEI)
  3. EU Fondo Europeo de Desarrollo Regional (FEDER) [FPA2016-78645-P]
  4. AEI through the grant IFT Centro de Excelencia Severo Ochoa [SEV-2016-0597]
  5. Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy [EXC 2121, 390833306]
  6. Swedish Research Council [2016-05996]
  7. European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme [668679]
  8. Spanish Red Consolider MultiDark [FPA2017-90566-REDC]

向作者/读者索取更多资源

HiggsSignals is a program that confronts model predictions with available Higgs signal rate and mass measurements, resulting in likelihood estimates. The new version, HiggsSignals-2, includes improvements in handling template cross section measurements and statistical interpretations. The performance of HiggsSignals is illustrated with example analyses, highlighting the importance of public information on experimental details.
The program HiggsSignals confronts the predictions of models with arbitrary Higgs sectors with the available Higgs signal rate and mass measurements, resulting in a likelihood estimate. A new version of the program, HiggsSignals-2, is presented that contains various improvements in its functionality and applicability. In particular, the new features comprise improvements in the theoretical input framework and the handling of possible complexities of beyond-the-SM Higgs sectors, as well as the incorporation of experimental results in the form of simplified template cross section (STXS) measurements. The new functionalities are explained, and a thorough discussion of the possible statistical interpretations of the HiggsSignals results is provided. The performance of HiggsSignals is illustrated for some example analyses. In this context the importance of public information on certain experimental details like efficiencies and uncertainty correlations is pointed out. HiggsSignals is continuously updated to the latest experimental results and can be obtained at https://gitlab.com/higgsbounds/higgssignals.

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