1,754 research outputs found

    Prospects for sgoldstino search at the LHC

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    In this paper we estimate the LHC sgoldstino discovery potential for the signatures with gamma gamma and ZZ in a final state.Comment: 12 pages, 12 figures; journal version: minor change

    Detection of Heavy Majorana Neutrinos and Right-Handed Bosons

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    The SU_C(3) otimes SU_L(2) otimes SU_R(2) otimes U(1) left-right (LR) symmetric model explains the origin of the parity violation in weak interactions and predicts the existence of additional W_R and Z' gauge bosons. In addition, heavy right-handed Majorana neutrino states N arise naturally within LR symmetric model. The N s could be partners of light neutrino states, related to their non-zero masses through the see-saw mechanism. This makes the searches of W_R, Z' and N interesting and important. This note describes the study of the potential of the CMS experiment to observe signals from the N and W_R production at the LHC. It is shown that their decay signals can be identified with a small background. For the integral LHC luminosity of L_t = 30 fb^ -1, the 5 sigma discovery of W_R - boson and heavy Majorana neutrinos N_e with masses up to 3.5 TeV and 2.3 TeV, respectively is found possible

    Energy Resolution Performance of the CMS Electromagnetic Calorimeter

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    The energy resolution performance of the CMS lead tungstate crystal electromagnetic calorimeter is presented. Measurements were made with an electron beam using a fully equipped supermodule of the calorimeter barrel. Results are given both for electrons incident on the centre of crystals and for electrons distributed uniformly over the calorimeter surface. The electron energy is reconstructed in matrices of 3 times 3 or 5 times 5 crystals centred on the crystal containing the maximum energy. Corrections for variations in the shower containment are applied in the case of uniform incidence. The resolution measured is consistent with the design goals

    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 √į√į¬•with constraints√į √į √į¬• ¬• √įand√į¬ī√į¬• = √į. 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‚Äďproton collisions at ‚ąös = 7 TeV