Electron Identification at CMS detector using LHC data
Shoaib Khalid

TL;DR
This paper presents strategies for identifying high-energy electrons at the CMS detector using LHC data, crucial for new physics searches and Higgs boson studies, with a focus on background analysis and electron selection methods.
Contribution
Developed and described electron identification techniques for CMS using real LHC data, including cut-based selections and background studies, for the first time with actual data.
Findings
Effective electron identification methods were established.
Background sources for electrons from W bosons were analyzed.
Electron variables vary across different background regions.
Abstract
The Standard Model of particle physics is extremely well tested and yet is not believed to be a theory of everything. Many extensions of the Standard Model predict the existence of new particles. The Large Hadron Collider (LHC) is a high energy proton-proton collider which may be able to produce such particles. In this work strategies have been developed to search for new physics by identifying high energy electrons produced by the decay of W boson using 2.8 pb-1 of real data. The electron identification for CMS has been presented. Simple cut based selections and a complete set of variables to distinguish between real electrons and background electrons are described. The detection of electrons is of particular importance at LHC as these particles intervene in the flagship H -> ZZ* -> 4e and H -> WW* -> 2e2v channels for the search of the Standard Model (SM) Higgs. Electrons are also…
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Taxonomy
TopicsParticle Detector Development and Performance · Particle physics theoretical and experimental studies · Computational Physics and Python Applications
