43 research outputs found

    Measurement of the cross section for isolated-photon plus jet production in pp collisions at √s=13 TeV using the ATLAS detector

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    The dynamics of isolated-photon production in association with a jet in proton–proton collisions at a centre-of-mass energy of 13 TeV are studied with the ATLAS detector at the LHC using a dataset with an integrated luminosity of 3.2 fb−1. Photons are required to have transverse energies above 125 GeV. Jets are identified using the anti- algorithm with radius parameter and required to have transverse momenta above 100 GeV. Measurements of isolated-photon plus jet cross sections are presented as functions of the leading-photon transverse energy, the leading-jet transverse momentum, the azimuthal angular separation between the photon and the jet, the photon–jet invariant mass and the scattering angle in the photon–jet centre-of-mass system. Tree-level plus parton-shower predictions from Sherpa and Pythia as well as next-to-leading-order QCD predictions from Jetphox and Sherpa are compared to the measurements

    Measurement of W± and Z-boson production cross sections in pp collisions at √s=13 TeV with the ATLAS detector

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    See paper for full list of authors - 17 pages plus author list + cover pages (34 pages total), 5 figures, 3 tables, submitted to Phys. Lett. B, All figures including auxiliary figures are available at https://atlas.web.cern.ch/Atlas/GROUPS/PHYSICS/PAPERS/STDM-2015-03/International audienceMeasurements of the W±→ℓ±ΜW^{\pm} \rightarrow \ell^{\pm} \nu and Z→ℓ+ℓ−Z \rightarrow \ell^+ \ell^- production cross sections (where ℓ±=e±,Ό±\ell^{\pm}=e^{\pm},\mu^{\pm}) in proton-proton collisions at s=13\sqrt{s}=13 TeV are presented using data recorded by the ATLAS experiment at the Large Hadron Collider, corresponding to a total integrated luminosity of 81 pb−1^{-1}. The total inclusive W±W^{\pm}-boson production cross sections times the single-lepton-flavour branching ratios are σW+tot=11.78±0.02(stat)±0.32(sys)±0.59(lumi)\sigma_{W^+}^{tot}= 11.78 \pm 0.02 (stat) \pm 0.32 (sys) \pm 0.59 (lumi) nb and σW−tot=8.75±0.02(stat)±0.24(sys)±0.44(lumi)\sigma_{W^-}^{tot} = 8.75 \pm 0.02 (stat) \pm 0.24 (sys) \pm 0.44 (lumi) nb for W+W^+ and W−W^-, respectively. The total inclusive ZZ-boson production cross section times leptonic branching ratio, within the invariant mass window 66<mℓℓ<11666 < m_{\ell\ell} < 116 GeV, is σZtot=1.97±0.01(stat)±0.04(sys)±0.10(lumi)\sigma_{Z}^{tot} = 1.97 \pm 0.01 (stat) \pm 0.04 (sys) \pm 0.10 (lumi) nb. The W+W^+, W−W^-, and ZZ-boson production cross sections and cross-section ratios within a fiducial region defined by the detector acceptance are also measured. The cross-section ratios benefit from significant cancellation of experimental uncertainties, resulting in σW+fid/σW−fid=1.295±0.003(stat)±0.010(sys)\sigma_{W^+}^{fid}/\sigma_{W^-}^{fid} = 1.295 \pm 0.003 (stat) \pm 0.010 (sys) and σW±fid/σZfid=10.31±0.04(stat)±0.20(sys)\sigma_{W^{\pm}}^{fid}/\sigma_{Z}^{fid} = 10.31 \pm 0.04 (stat) \pm 0.20 (sys). Theoretical predictions, based on calculations accurate to next-to-next-to-leading order for quantum chromodynamics and next-to-leading order for electroweak processes and which employ different parton distribution function sets, are compared to these measurements

    Search for black holes and other new phenomena in high-multiplicity final states in proton-proton collisions at root s=13 TeV

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    Search for an invisibly decaying Higgs boson or dark matter candidates produced in association with a Z boson in pp collisions at root s=13 TeV with the ATLAS detector

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    Supply network strategy

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    Inter-organizational relationships, chains and networks: a supply perspective

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    none3noThis article discusses inter-organizational relationships (IORs) in the wider context of chains and networks of organizations. It distinguishes between IORs, chains, and networks and subsets of those, perceived through different disciplinary lenses. Different lenses lead researchers to operate at different units of analysis within relationships, chains, and networks. For example, a sociological focus gives rise to researchers observing social connections. An economic focus leads to observations of economic exchanges between organizations conceptualized as economic entities. A strategic management focus leads the researcher to observe strategic configurations and positions. These different units of analysis represent different types of relationship, chain, and network and require different methodologies, methods, and techniques to research them. In particular, this article uses an operations and supply lens to observe supply relationships, chains, and networks.noneJohnsen, Thomas E.; Lamming, Richard C.; Harland, Christine M.Johnsen, Thomas E.; Lamming, Richard C.; Harland, Christine M

    An initial classification of supply networks

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    The articulation of supply networks, as an extension of supply chains, seeks to accommodate and explain the commercial complexity associated with the creation and delivery of goods and services from the source of raw materials to their destination in end-customer markets. In place of the simplistic, linear and unidirectional model sometimes presented for supply chains, the supply network concept describes lateral links, reverse loops, two-way exchanges and so on, encompassing the upstream and downstream activity, with a focal firm as the point of reference. A review of classifications of supply networks reveals that none of the existing approaches appears adequate for managers facing the practical problems of creating and operating them on a day-to-day basis. This research identifies differing emphases that may be required for managing within supply networks, according to the nature of the products for which they are created. Taking an established categorisation of supply chains as its starting point, the research first develops the conceptual basis, using strategy literature, and then tests the resultant initial model in 16 case studies. Finally, a new categorisation for supply networks is presented, using the type of product as a differentiator
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