439 research outputs found

    Csilling, A

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    Total cross-section and diffractive ρ0\rho^{0} production in γγ\gamma\gamma collisions at L3

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    The reaction e/sup +/e/sup -/ to e/sup +/e/sup -/ gamma * gamma * to e/sup +/e/sup -/hadrons is analysed for quasi-real virtual photons using data collected by the L3 detector during the LEP high energy runs at square root (s)=183 and 189 GeV. Preliminary results on the cross sections sigma (e/sup +/e/sup -/ to e/sup +/e/sup -/hadrons) and sigma ( gamma gamma to hadrons) are given in the interval 5 Ge Vor =3 GeV region. In all channels a comparison is made with the PYTHIA and PHOJET Monte Carlo generators. (16 refs)

    Measurement of the Charm Structure Function of the Photon at LEP

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    Charm production is studied in deep-inelastic electron-photon scattering using OPAL data at e+e- centre-of-mass energies from 183 to 209 GeV. Charm quarks are identified by exclusive reconstruction of D* mesons. The cross-section of D* production is measured in a restricted kinematic region, and then extrapolated to the total charm production cross-section and the charm structure function of the photon. For x>0.1 the measurement is well described by Monte Carlo models and perturbative QCD calculations but for x 0.1 the measurement is well described by Monte Carlo models and perturbative QCD calculations but for xx 0.1themeasurementiswelldescribedbyMonteCarlomodelsandperturbativeQCDcalculationsbutfor the measurement is well described by Monte Carlo models and perturbative QCD calculations but for x<0.1$ the predictions are lower than the data both in the directly measured region and after the extrapolation

    Charm and bottom production in two-photon collisions with OPAL

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    A preliminary update of the previous OPAL measurement of the inclusive production of D* mesons in anti-tagged photon-photon collisions is presented together with the first preliminary OPAL measurement of bottom production in photon-photon collisions.A preliminary update of the previous OPAL measurement of the inclusive production of D*± mesons in anti-tagged photon-photon collisions is presented together with the first preliminary OPAL measurement of bottom production in photon-photon collisions.A preliminary update of the previous OPAL measurement of the inclusive production of D* mesons in anti-tagged photon-photon collisions is presented together with the first preliminary OPAL measurement of bottom production in photon-photon collisions

    Hadron production in two-photon collisions at LEP-L3

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    The reaction e+ e- -> e+ e- gamma* gamma* -> e+ e- hadrons is analysed for quasi-real virtual photons using data collected by the L3 detector during the LEP high energy runs at sqrt(s) = 183 and 189 GeV. Preliminary results on the cross sections sigma(e+e- -> e+e- hadrons) and sigma(gamma gamma -> hadrons) are given in the interval 5 GeV rho0 rho0 process and the inclusive rho0 production gamma gamma -> rho0 X are studied in the W_{gamma gamma} > 3 GeV region. In all channels a comparison is made with the Pythia and Phojet Monte Carlo generators.The reaction e+ e- -> e+ e- gamma* gamma* -> e+ e- hadrons is analysed for quasi-real virtual photons using data collected by the L3 detector during the LEP high energy runs at sqrt(s) = 183 and 189 GeV. Preliminary results on the cross sections sigma(e+e- -> e+e- hadrons) and sigma(gamma gamma -> hadrons) are given in the interval 5 GeV rho0 rho0 process and the inclusive rho0 production gamma gamma -> rho0 X are studied in the W_{gamma gamma} > 3 GeV region. In all channels a comparison is made with the Pythia and Phojet Monte Carlo generators

    Graph-Based Automation of Threat Analysis and Risk Assessment for Automotive Security

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    The proliferation of cyber&ndash;physical systems in modern vehicles, characterized by densely interconnected Electronic Control Units (ECUs) and heterogeneous communication networks, has significantly expanded the automotive attack surface. Traditional Threat Analysis and Risk Assessment (TARA) methodologies remain predominantly manual processes that exhibit limitations in scalability, and comprehensive threat identification. This research addresses these limitations by developing a formalized framework for automating attack path analysis within the automotive architecture. While attack graph methodologies have demonstrated efficacy in conventional information technology domains, their application within automotive cybersecurity contexts presents unique challenges stemming from domain-specific architectural constraints. We propose a novel Graph-based Attack Path Prioritization (GAPP) methodology that integrates Extended Finite State Machine (EFSM) modeling. Our implementation employs the Neo4j property graph database architecture to establish the mappings between architectural components, security states, and exploitation vectors. This research contributes a systematic approach to automotive security assessment, enhancing vulnerability identification capabilities while reducing analytical complexity
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