Measurement of the Soft-Drop Jet Mass in p p Collisions at √ s = 13     TeV with the ATLAS Detector

Rafal Bielski, Agni Bethani, Ian Connelly, Brian Cox, Cinzia Da Via, Nicholas Dann, Alessandra Forti, James Howarth, David Lack, Frederick Loebinger, Stephen Marsden, Jiri Masik, Francisca Munoz Sanchez, Alexander Oh, Joleen Pater, Yvonne Peters, Darren Price, Yang Qin, John Raine, Jacob RawlingRhys Roberts, Savanna Shaw, Lee Tomlinson, Stephen Watts, Fabian Wilk, Terence Wyatt

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Jet substructure observables have significantly extended the search program for physics beyond the standard model at the Large Hadron Collider. The state-of-the-art tools have been motivated by theoretical calculations, but there has never been a direct comparison between data and calculations of jet substructure observables that are accurate beyond leading-logarithm approximation. Such observables are significant not only for probing the collinear regime of QCD that is largely unexplored at a hadron collider, but also for improving the understanding of jet substructure properties that are used in many studies at the Large Hadron Collider. This Letter documents a measurement of the first jet substructure quantity at a hadron collider to be calculated at next-to-next-to-leading-logarithm accuracy. The normalized, differential cross section is measured as a function of
    log
    10
    ρ
    2
    , where
    ρ
    is the ratio of the soft-drop mass to the ungroomed jet transverse momentum. This quantity is measured in dijet events from
    32.9


    fb

    1
    of

    s
    =
    13


    TeV
    proton-proton collisions recorded by the ATLAS detector. The data are unfolded to correct for detector effects and compared to precise QCD calculations and leading-logarithm particle-level Monte Carlo simulations.
    Original languageEnglish
    Article number092001
    JournalPhysical Review Letters
    Volume121
    Issue number9
    DOIs
    Publication statusPublished - 28 Aug 2018

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