Performance of electron reconstruction and selection with the CMS detector in proton-proton collisions at √s = 8 TeV

Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/105569

Title:	Performance of electron reconstruction and selection with the CMS detector in proton-proton collisions at √s = 8 TeV
Authors:	余欣珊;Khachatryan, V.
Contributors:	理學院物理學系
Date:	2015-06-01
Issue Date:	2026-04-23 12:37:49 (UTC+8)
Publisher:	IOP Publishing Ltd.;United States: Institute of Physics (IOP)
Abstract:	摘要： The performance and strategies used in electron reconstruction and selection at CMS are presented based on data corresponding to an integrated luminosity of 19.7 fb-1, collected in proton-proton collisions at √s = 8 TeV at the CERN LHC. The paper focuses on prompt isolated electrons with transverse momenta ranging from about 5 to a few 100 GeV. A detailed description is given of the algorithms used to cluster energy in the electromagnetic calorimeter and to reconstruct electron trajectories in the tracker. The electron momentum is estimated by combining the energy measurement in the calorimeter with the momentum measurement in the tracker. Benchmark selection criteria are presented, and their performances assessed using Z, Υ, and J/ψ decays into e++ e- pairs. The spectra of the observables relevant to electron reconstruction and selection as well as their global efficiencies are well reproduced by Monte Carlo simulations. The momentum scale is calibrated with an uncertainty smaller than 0.3%. The momentum resolution for electrons produced in Z boson decays ranges from 1.7 to 4.5%, depending on electron pseudorapidity and energy loss through bremsstrahlung in the detector material. 出版者： United States: Institute of Physics (IOP) 出版日期： 2015-06-10 出處： Journal of instrumentation, 2015-06, Vol.10 (6), p.P06005-P06005 資源來源： Institute of Physics Journals 識別號： ISSN: 1748-0221 識別號： EISSN: 1748-0221 識別號： DOI: 10.1088/1748-0221/10/06/P06005
Appears in Collections:	[Department of Physics] journal & Dissertation

Files in This Item:

File	Description	Size	Format
index.html		0Kb	HTML	12	View/Open

社群 sharing

Loading...