Measurement of the inclusive jet cross-sections in proton--proton collisions at $\sqrt{s}= $8 TeV with the ATLAS detector

The ATLAS collaboration
JHEP 09 (2017) 020, 2017.

Abstract (data abstract)
- Measurement of inclusive jet cross-sections with the ATLAS Detector at a centre-of-mass energy 8 TeV Inclusive jet production cross-sections are measured in proton--proton collisions at a centre-of-mass energy of $\sqrt{s}$=8 TeV recorded by the ATLAS experiment at the Large Hadron Collider at CERN. The total integrated luminosity of the analysed data set amounts to 20.2 $fb^{−1}$. Double-differential cross-sections are measured for jets defined by the anti-kt jet clustering algorithm with radius parameters of R=0.4 and R=0.6 and are presented as a function of the jet transverse momentum, in the range between 70 GeV and 2.5 TeV and in six bins of the absolute jet rapidity, between 0 and 3.0. The measured cross-sections are compared to predictions of quantum chromodynamics, calculated at next-to-leading order in perturbation theory, and corrected for non-perturbative and electroweak effects. The level of agreement with predictions, using a selection of different parton distribution functions for the proton, is quantified. Tensions between the data and the theory predictions are observed. - The HepData contain the following additional files: o) HepData base tables in yaml format for each cross-section atlas_inclusive_jet2012_r0*_eta*.yaml These files are for the default correlation scenario (see below) Sometimes up and down uncertainties can have the same sign. They need to be symmetrized for the chi2 calculation. o) Replica encoding the statistical uncertainties, e.g. to calculate the global statistical correlation matrix hepdata_tables_data_r04_replicas.tar.gz The replica can be used to calculate the statistical uncertainty. but, for convenience, the cross-section tables also contains the statistical uncertainty. The tarfile contains for each cross-section 10k replica files of the form heprep9997_R06_Eta6.txt The first number is the replica number (random), the following numbers the jet cone size and the rapidity bin In each replica file the format is as follows: The first lines are a description of the cross-section (following old HepData conventions). It includes the replica number of each file, the rapidity bin and the jet cone radius (same as in file name). The following lines with the numbers are the minimum and maximum bin edge and the fluctuated cross-section. o) The alternative splitting of the 2-points systematic uncertainties as described in the Appendix of the publication is encoded in the following tables: atlas_2012_jet_antiktr0*_incljetpt_altcorr*_eta*.yaml with the following alternative correlation scenarios For R=0.4 altcorr1 as described in Table 5 For R=0.6 altcorr1 and altcorr2 as described in Table 6 To get the chi2 values as quoted in the paper the theory systematics need to be also decorrelated as described in the paper. Note, that the splitting of the theory numbers has a large effect on the global chi2. o) Electro-weak corrections as function of jet pt (for each rapidity bins) as calculated with the method described in Dittmaier, Huss, Speckner HEP11(2012) 095 arXiv:1210.0438 are given in special tables like atlas_2012_jet_antiktr06_incljetpt_eta5_ewcorr.txt (as example for R=0.6 and 2<|y|<0.5) Each line gives the bin minimum and maximum and the correction. The corrections are given as calculated. No uncertainty is given. For some bins at high-pt the values need to be merged to compare to the measurements. o) Non-perturbative corrections (hadronisation corrections and underlying event) as function of jet pt (for each rapidity bins). See the paper for a description and references. As described in the tables the default corrections is based on Pythia8AU2CT10_PYHW tune The uncertainty based on pythia8 tunes: 4C MONASH ATLASA14NNPDF ATLASA14MRSTWLO ATLASA14CTEQL1 and on Herwig tunes. Each line gives the middle of the pt bin, the bin minimum and maximum, the default correction and the up and down uncertainty. Comments to HepData tables: o) The systematic uncertainties with the same names are correlated across the cross-sections in the various rapidity bins, (see section 6 in arXiv:1706.03192 and ATLAS-CONF-2015-037) o) The statistical uncertainty of the in situ methods (Gjet, Zjet, MJB, EtaStat ) should be treated as any other systematics uncertainty across pt and eta, but they are uncorrellated with the systematics uncertainties from a different data-set (e.g. ATLAS 2012 and ATLAS 2015 data) even if they have the same name. o) The beam uncertainty is considered as theory systematics and can be calculated from the applgrid tables. o) The corresponding applgrid files can be found on the ploughshare site

  • Table 1

    Data from figure 6 of


    rapidity bin 0 < |Y| < 0.5 anti-kt R=0.6

  • Table 2

    Data from figure 6 of


    rapidity bin 0.5 < |Y| < 1.0 anti-kt R=0.6

  • Table 3

    Data from figure 6 of


    rapidity bin 1.0 < |Y| < 1.5 anti-kt R=0.6

  • Table 4

    Data from figure 6 of


    rapidity bin 1.5 < |Y| < 2.0 anti-kt R=0.6

  • Table 5

    Data from figure 6 of


    rapidity bin 2.0 < |Y| < 2.5 anti-kt R=0.6

  • Table 6

    Data from figure 6 of


    rapidity bin 2.5 < |Y| < 3.0 anti-kt R=0.6

  • Table 7

    Data from figure 5 of


    rapidity bin 0 < |Y| < 0.5 anti-kt R=0.4

  • Table 8

    Data from figure 5 of


    rapidity bin 0.5 < |Y| < 1.0 anti-kt R=0.4

  • Table 9

    Data from figure 5 of


    rapidity bin 1.0 < |Y| < 1.5 anti-kt R=0.4

  • Table 10

    Data from figure 5 of


    rapidity bin 1.5 < |Y| < 2.0 anti-kt R=0.4

  • Table 11

    Data from figure 5 of


    rapidity bin 2.0 < |Y| < 2.5 anti-kt R=0.4

  • Table 12

    Data from figure 5 of


    rapidity bin 2.5 < |Y| < 3.0 anti-kt R=0.4

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