1,424 research outputs found

    Performance of MET reconstruction and pileup mitigation techniques in CMS

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    The performance of missing transverse momentum reconstruction algorithms is presented using 8 TeV pp collision data collected with the CMS detector, corresponding to an integrated luminosity of 12.2±0.512.2 \pm 0.5 fb−1\mathrm{fb^{-1}}. The scale and resolution of missing transverse momentum and the effects of multiple proton-proton interactions (pileup), are measured using events with an identified Z boson or isolated photon. They are in general well described by the simulation. Advanced missing transverse momentum reconstruction algorithms are also developed specifically to mitigate the effects of large numbers of pileup interactions on missing transverse momentum resolution. Using these advanced algorithms, the dependence of the missing transverse momentum resolution on pileup interactions is reduced significantly.Comment: 3 pages, 6 figures. Proceedings of the 37th International Conference on High Energy Physics, ICHEP 201

    Measurement of the muon charge asymmetry in inclusive pp→W+Xpp \rightarrow W + X production at s=7\sqrt{s} = 7 TeV at CMS and an improved determination of light parton distribution functions

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    Measurements of the muon charge asymmetry in inclusive pp→WXpp \rightarrow WX production at s=7\sqrt{s}=7 TeV are presented. The data sample corresponds to an integrated luminosity of 4.7 fb−1\mathrm{fb^{-1}} recorded with the CMS detector at the LHC. With a sample of more than twenty million W→μνW \rightarrow \mu\nu events, the statistical precision is greatly improved in comparison to previous measurements. These new results provide additional constraints on the parton distribution functions of the proton in the range of the Bjorken scaling variable xx from 10−310^{-3} to 10−110^{-1}. These measurements are used together with the cross sections for inclusive deep inelastic ep scattering at HERA in a next-to-leading-order QCD analysis.Comment: 6 pages, 11 figures. Proceedings of the 37th International Conference on High Energy Physics, ICHEP 201

    Highlights from the Compact Muon Solenoid (CMS) Experiment

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    The highlights of the recent activities and physics results leading up to the summer of 2018 from the Compact Muon Solenoid (CMS) experiment at the CERN Large Hadron Collider (LHC) are presented here. The CMS experiment has a very wide-ranging physics program, and only a very limited subset of the physics analyses being performed at CMS are discussed here, consisting of several important results from the analysis of proton-proton collision data at center-of-mass energy of 13 TeV. These include important analyses of Higgs boson physics, with the highlight being the first observation of the ttˉH\mathrm{t\bar{t}H} production of the Higgs boson, along with analyses pertaining to precision standard model measurements, top quark physics, with the single top production cross-section measurement, and flavor physics, with the important observation of χb\chi_{b}(3P) states. Additionally, important searches for physics beyond the standard model are also presented.Comment: This paper is based on the talk at the 7th International Conference on New Frontiers in Physics (ICNFP 2018), Crete, Greece, 4-12 July 201

    Optimasi Portofolio Resiko Menggunakan Model Markowitz MVO Dikaitkan dengan Keterbatasan Manusia dalam Memprediksi Masa Depan dalam Perspektif Al-Qur`an

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    Risk portfolio on modern finance has become increasingly technical, requiring the use of sophisticated mathematical tools in both research and practice. Since companies cannot insure themselves completely against risk, as human incompetence in predicting the future precisely that written in Al-Quran surah Luqman verse 34, they have to manage it to yield an optimal portfolio. The objective here is to minimize the variance among all portfolios, or alternatively, to maximize expected return among all portfolios that has at least a certain expected return. Furthermore, this study focuses on optimizing risk portfolio so called Markowitz MVO (Mean-Variance Optimization). Some theoretical frameworks for analysis are arithmetic mean, geometric mean, variance, covariance, linear programming, and quadratic programming. Moreover, finding a minimum variance portfolio produces a convex quadratic programming, that is minimizing the objective function ðð¥with constraintsð ð 𥠥 ðandð´ð¥ = ð. The outcome of this research is the solution of optimal risk portofolio in some investments that could be finished smoothly using MATLAB R2007b software together with its graphic analysis

    Differential cross section measurements for the production of a W boson in association with jets in proton–proton collisions at √s = 7 TeV