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Measurements of b-jet tagging efficiency with the ATLAS detector using tt¯ events at √s=13 TeV

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378271%3A_____%2F18%3A00500524" target="_blank" >RIV/68378271:_____/18:00500524 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/JHEP08(2018)089" target="_blank" >http://dx.doi.org/10.1007/JHEP08(2018)089</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/JHEP08(2018)089" target="_blank" >10.1007/JHEP08(2018)089</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Measurements of b-jet tagging efficiency with the ATLAS detector using tt¯ events at √s=13 TeV

  • Original language description

    The efficiency to identify jets containing b-hadrons (b-jets) is measured using a high purity sample of dileptonic top quark-antiquark pairs ( tt¯ ) selected from the 36.1 fb−1 of data collected by the ATLAS detector in 2015 and 2016 from proton-proton collisions produced by the Large Hadron Collider at a centre-of-mass energy s√=13 TeV. Two methods are used to extract the efficiency from tt¯ events, a combinatorial likelihood approach and a tag-and-probe method. A boosted decision tree, not using b-tagging information, is used to select events in which two b-jets are present, which reduces the dominant uncertainty in the modelling of the flavour of the jets. The efficiency is extracted for jets in a transverse momentum range from 20 to 300 GeV, with data-to-simulation scale factors calculated by comparing the efficiency measured using collision data to that predicted by the simulation.n

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10303 - Particles and field physics

Result continuities

  • Project

    <a href="/en/project/LTT17018" target="_blank" >LTT17018: Getting new knowledge of the microworld using the CERN infrastructure</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Journal of High Energy Physics

  • ISSN

    1029-8479

  • e-ISSN

  • Volume of the periodical

    2018

  • Issue of the periodical within the volume

    8

  • Country of publishing house

    DE - GERMANY

  • Number of pages

    47

  • Pages from-to

  • UT code for WoS article

    000442113300001

  • EID of the result in the Scopus database

    2-s2.0-85051719783