H. von der Schmitt 99 , J. von Loeben 99 , H. von Radziewski 48 , E. von Toerne 20 , V. Vorobel 126 , V. Vorwerk 11 , M. Vos 166 , R. Voss 29 , T.T. Voss 173 , J.H. Vossebeld 73 , N. Vranjes 12a , M. Vranjes Milosavljevic 12a , V. Vrba 125 , M. Vreeswijk 105 , T. Abstract The simulation software for the ATLAS Experiment at the Large Hadron Collider is being used for large-scale production of events on the LHC Computing Grid. This simulation requires many components, from the generators that simulate particle collisions, through packages simulating the response of the various detectors and triggers. All of these components come together under the ATLAS simulation infrastructure. In this paper, that infrastructure is discussed, including that supporting the detector description , interfacing the event generation, and combining the GEANT4 simulation of the response of the individual detectors. Also described are the tools allowing the software validation, performance testing, and the validation of the simulated output against known physics processes.
IntroductionThe discovery of a new particle of mass about 125 GeV in the search for the Standard Model This Letter presents measurements of several properties of the newly observed particle, including its mass, production strengths and couplings to fermions and bosons, using diboson final states 1 : Monte Carlo (MC) samples used to model signal and background processes. The analyses of the three decay channels are presented in Sections 4-6. Measurements of the Higgs boson mass, production properties and couplings are discussed in Section 7. Section 8 is devoted to the conclusions.
Data sample and event reconstructionAfter data quality requirements, the integrated luminosities of the samples used for the studies reported here are about 4.7 fb −1 in 2011 and 20.7 fb −1 in 2012, with uncertainties given in Table 1 (determined as described in Ref. [13]). Because of the high LHC peak luminosity (up to 7.7 × 10 33 cm −2 s −1 in 2012) and the 50 ns bunch spacing, the number of proton-proton interactions occurring in the same bunch crossing is large (on average 20.7, up to about 40). This "pile-up" of events requires the use of dedicated algorithms and corrections to mitigate its impact on the reconstruction of e.g. leptons, photons and jets.
0370-2693/
We give an exhaustive presentation of the semi-analytical approach to the model independent leptonic QED corrections to deep inelastic neutral current lepton-nucleon scattering. These corrections include photonic bremsstrahlung from and vertex corrections to the lepton current of the order O(α) with soft photon exponentiation. A common treatment of these radiative corrections in several variablesleptonic, hadronic, mixed, Jaquet-Blondel variables -has been developed and double differential cross sections are calculated. In all sets of variables we use some structure functions, which depend on the hadronic variables and which do not have to be defined in the quark parton model. The remaining numerical integrations are twofold (for leptonic variables) or onefold (for all other variables). For the case of hadronic variables, all phase space integrals have been performed analytically. Numerical results are presented for a large kinematical range, covering fixed target as well as collider experiments at HERA or LEP⊗LHC, with a special emphasis on HERA physics. † Supported by the Heisenberg-Landau fund.
This Letter presents the first search for supersymmetry in final states containing one isolated electron or muon, jets, and missing transverse momentum from ffiffi ffi s p ¼ 7 TeV proton-proton collisions at the LHC.The data were recorded by the ATLAS experiment during 2010 and correspond to a total integrated luminosity of 35 pb À1 . No excess above the standard model background expectation is observed. Limits are set on the parameters of the minimal supergravity framework, extending previous limits. Within this framework, for A 0 ¼ 0 GeV, tan ¼ 3, and > 0 and for equal squark and gluino masses, gluino masses below 700 GeV are excluded at 95% confidence level.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.