2018
DOI: 10.1007/jhep06(2018)002
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Measurements of differential cross sections of top quark pair production as a function of kinematic event variables in proton-proton collisions at $$ \sqrt{s}=13 $$ TeV

Abstract: Measurements of differential tt production cross sections are presented in the single-lepton decay channel, as a function of a number of kinematic event variables. The measurements are performed with proton-proton collision data at √ s = 13 TeV, collected by the CMS experiment at the LHC during 2016, with an integrated luminosity of 35.9 fb −1 . The data are compared to a variety of state-of-the-art leading-order and next-to-leadingorder tt simulations. A Tabulated normalized differential tt production cross s… Show more

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Cited by 23 publications
(25 citation statements)
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“…The H tag algorithm is efficient for both H → bb and Z → bb decays. The systematic difference between data and background (bkg) is due to known issues with jet momentum distributions in the tt simulation that are only partially corrected by applying the top quark momentum weight [71]. The residual difference is described by the uncertainty in the renormalization and factorization energy scales, discussed further in Section 8.…”
Section: Event Selection and Categorizationmentioning
confidence: 99%
“…The H tag algorithm is efficient for both H → bb and Z → bb decays. The systematic difference between data and background (bkg) is due to known issues with jet momentum distributions in the tt simulation that are only partially corrected by applying the top quark momentum weight [71]. The residual difference is described by the uncertainty in the renormalization and factorization energy scales, discussed further in Section 8.…”
Section: Event Selection and Categorizationmentioning
confidence: 99%
“…RIVET has also been used by the LHC experiments as a part of their analysis and interpretation toolkit (see, for example [23][24][25][26][27]), and in studies for future experiments [28][29][30][31]. It has been used for development of new analysis techniques including machine learning applications, jet substructure, boosted-particle tagging and pile-up suppression [32][33][34][35].…”
Section: Applications Of Rivetmentioning
confidence: 99%
“…The first cross section analysis presented here forms the first differential s pp!tt paper produced by CMS using the 2016 data set [4]. Normalised and absolute cross sections are measured with respect to kinematic event variables (do not require tt system to be reconstructed) in the single lepton decay channel and is presented to particle level in a visible phase space.…”
Section: Differential Cross Sectionsmentioning
confidence: 99%
“…By applying the corrections the observed trend flattens, however it is not covered completely. Figure 2: A set of absolute differential cross section measurements with respect to the H T [4], additional jet multiplicity [5] and p t T [6] variables. The right plot corresponds to the dilepton final state and is presented at parton level, while the other two correspond to the single lepton final state at particle level.…”
Section: Differential Cross Sectionsmentioning
confidence: 99%