1,347 research outputs found

    Single top and VVtb_{tb} measurements

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    Measurements of single top quark production are presented, performed using LHC data collected at centre-of-mass energies of 7, 8 and 13 TeV, respectively. The cross sections for the electroweak production of single top quarks in the t-channel and in association with W-bosons are measured and the results are used to estimate the CKM matrix element VtbV_{tb}. In the t-channel, the ratio of top and anti-top production cross sections is determined and compared with predictions from different parton density distribution functions. Searches dedicated to the experimental observation of the s-channel production at the LHC are also discussed. Searches for presence of any anomalous interactions at the tWb vertex beyond the predictions of standard model of particle physics are also presented. These searches are carried out in the t-channel production mode by performing measurements of top polarization, helicities etc. from its decay products. Limits are obtained to constrain new physics

    Heavy flavor jet tagging algorithm developments at CMS for HL-LHC

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    The rich physics program at the high luminosity LHC (HL-LHC) requires all final state particles to be reconstructed with good accuracy. However, it also poses formidable challenge of dealing with very high pileup. Different identification algorithms need to be upgraded along with the detectors to improve the overall event reconstruction in such a hostile collision environment. The new timing device in the proposed CMS detector at the HL-LHC allows for the construction of timing observables at the track-level as well as at the jet-level. This information when given as inputs to the deep neural networks, have a potential to improve the existing algorithms used for heavy flavor (HF) jet tagging. In this paper, the latest developments on the studies for HF jet tagging performance at the HL-LHC are presented

    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

    Search for heavy resonances decaying to two Higgs bosons in final states containing four b quarks