Electron reconstruction and identification in the ATLAS experiment using the 2015 and 2016 LHC proton-proton collision data at $\sqrt{s}$ = 13 TeV
By M. Aaboud, A. Kupco, S. Webb, T. Dreyer, Yufeng Wang, K. Jakobs, M. Spousta, M. Cobal, Peilong Wang, S. Schmitt and 2,925 more. 2019
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Algorithms used for the reconstruction and identification of electrons in the central region of the ATLAS detector at the Large Hadron Collider (LHC) are presented in this paper; these algorithms are used in ATLAS physics analyses that involve electrons in the final state and which are based on the 2015 and 2016 proton-proton collision data produced by the LHC at $\sqrt{s}$ = 13 TeV. The performance of the electron reconstruction, identification, isolation, and charge identification algorithms is evaluated in data and in simulated samples using electrons from $Z\rightarrow ee$ and $J/\psi\rightarrow ee$ decays. Typical examples of combinations of electron reconstruction, identification, and isolation operating points used in ATLAS physics analyses are shown.
Subfields: Nuclear and High Energy Physics
View Paper: https://www.semanticscholar.org/paper/1ac360796b4033c8daa94786205d6bee8f322902
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In Nuclear and High Energy Physics
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- Luminosity determination in $pp$ collisions at $\sqrt{s}=13$ TeV using the ATLAS detector at the LHC (2022, methodology): “The lepton trigger and reconstruction efficiencies can be measured in-situ using tag-and-probe techniques exploiting the two leptons in each event [37, 39], and the rate of about 10 Hz of reconstructed events per lepton flavour at √ s = 13 TeV and Linst = 1034 cm−2s−1 gives a statistical precision w”