Titlebook: Search for Supersymmetry in pp Collisions at √s = 8 TeV with a Photon, Lepton, and Missing Transvers; Yutaro Iiyama Book 2017 Springer Int

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書(shū)目名稱Search for Supersymmetry in pp Collisions at √s = 8 TeV with a Photon, Lepton, and Missing Transvers影響因子(影響力)




書(shū)目名稱Search for Supersymmetry in pp Collisions at √s = 8 TeV with a Photon, Lepton, and Missing Transvers影響因子(影響力)學(xué)科排名




書(shū)目名稱Search for Supersymmetry in pp Collisions at √s = 8 TeV with a Photon, Lepton, and Missing Transvers網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱Search for Supersymmetry in pp Collisions at √s = 8 TeV with a Photon, Lepton, and Missing Transvers網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




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暗指

Introduction,Particle physics is an endeavor to explain the natural world from a single principle. It is often said that the discipline takes root in the classic question: “What are we made of?”

天賦

Creditee

Yutaro IiyamaNominated as an outstanding Thesis by Carnegie Mellon University.Describes a search for supersymmetry using data collected by the CMS experiment at the LHC.Probes a class of SUSY models that has not y

surmount

978-3-319-86448-8Springer International Publishing AG 2017

強(qiáng)化

Search for Supersymmetry in pp Collisions at √s = 8 TeV with a Photon, Lepton, and Missing Transvers978-3-319-58661-8Series ISSN 2190-5053 Series E-ISSN 2190-5061

Aura231

軟膏

https://doi.org/10.1007/978-3-319-58661-8missing transverse energy in proton-proton collisions; CMS experiment at LHC; Dark matter candidates; C

螢火蟲(chóng)

Book 2017ties of all known elementary particles. However, no?particle exists in the SM that can account for the dark matter, which makes up about one quarter of the?energy-mass content of the universe. Understanding the nature of dark matter is one goal of the CERN?Large Hadron Collider (LHC). The extension

cancellous-bone

Data Analysis,. There is no way to distinguish the SUSY signal from the SM backgrounds on an event-by-event basis, since the signal region is by definition where all the cuts have been applied. Therefore, the background estimation must be done statistically.