1,682 research outputs found

    Search for the 125 GeV Standard Model Higgs Boson Decaying Via H→WW→lÎœjj at √s = 8 TeV

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    The Higgs boson discovery was announced on July 4th, 2012. It was measured to have a mass of 125.7 ± 0.3 (stat) ± 0.3 (syst) GeV and since then boson has been seen in many decay paths, including the H→γγ, H→ZZ→4l, H→τ τ, and H→WâșW⁻→lÎœlÎœ channels. However, no one has looked for the boson at this mass using the H→WâșW⁻→lÎœjj decay channel. This dissertation presents a search for the ∌125 GeV Higgs in semi-leptonic W decays using both traditional kinematically discriminating variables as well as a matrix element technique. The data for this analysis was collected in 2012 by the Compact Muon Solenoid (CMS) experiment at the Large Hadron Collider (LHC) and amounts to 19.7 fb⁻Âč of proton-proton collisions at a center of mass energy of 8 TeV. Although this analysis presents a step forward in complexity, we were still not able to see a significant excess above the standard model background prediction. However, we were able to set an upper limit of 5.4 on σ/σSM at the 95% confidence level for the semi-leptonic W decay of the Higgs boson. These represent some of the first such limits recorded

    Data Science and Machine Learning in Education

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    The growing role of data science (DS) and machine learning (ML) in high-energy physics (HEP) is well established and pertinent given the complex detectors, large data, sets and sophisticated analyses at the heart of HEP research. Moreover, exploiting symmetries inherent in physics data have inspired physics-informed ML as a vibrant sub-field of computer science research. HEP researchers benefit greatly from materials widely available materials for use in education, training and workforce development. They are also contributing to these materials and providing software to DS/ML-related fields. Increasingly, physics departments are offering courses at the intersection of DS, ML and physics, often using curricula developed by HEP researchers and involving open software and data used in HEP. In this white paper, we explore synergies between HEP research and DS/ML education, discuss opportunities and challenges at this intersection, and propose community activities that will be mutually beneficial.Comment: Contribution to Snowmass 202

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

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    Measurements are reported of differential cross sections for the production of a W boson, which decays into a muon and a neutrino, in association with jets, as a function of several variables, including the transverse momenta (pT) and pseudorapidities of the four leading jets, the scalar sum of jet transverse momenta (HT), and the difference in azimuthal angle between the directions of each jet and the muon. The data sample of pp collisions at a centre-of-mass energy of 7 TeV was collected with the CMS detector at the LHC and corresponds to an integrated luminosity of 5.0 fb[superscript −1]. The measured cross sections are compared to predictions from Monte Carlo generators, MadGraph + pythia and sherpa, and to next-to-leading-order calculations from BlackHat + sherpa. The differential cross sections are found to be in agreement with the predictions, apart from the pT distributions of the leading jets at high pT values, the distributions of the HT at high-HT and low jet multiplicity, and the distribution of the difference in azimuthal angle between the leading jet and the muon at low values.United States. Dept. of EnergyNational Science Foundation (U.S.)Alfred P. Sloan Foundatio

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