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Muon Identification: Purity and Efficiency Analysis with Erik's Algorithm

This presentation focuses on the purity and efficiency of muon identification using Erik's previously established algorithms. An analysis of 6k Z’→bb events demonstrates the effectiveness of the parameters including distance less than 200μm and angle less than 0.1. The study compares matched muon energy distributions and cosθ distributions, assessing values where energy is above 6 GeV and |cosθ| is below 0.99. Results show differences in efficiency and purity metrics between Jacopo's and Erik's definitions, highlighting challenges in low-energy muon identification.

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Muon Identification: Purity and Efficiency Analysis with Erik's Algorithm

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  1. Jacopo Nardulli Muon identification purity/efficiency with lots of help from Erik

  2. Introduction • Purity and efficiency on 6k Z’ bb events from Erik’s sample using algorithm previously explained on WG6 meeting, see: talk • In reality half of the statistics because I only took the μ-

  3. Introduction • To compare with Erik’s plots. • I use Erik’s reconstruction algorithm with Pandora Rev 828 and with: • Distance < 200μm • Θ < 0.1 • Only 7 layers are used. • Pandora does not see 1st layer in barrel and plug in the endcap

  4. Matched Muons energy distributions

  5. Matched Muonscosθ distribution

  6. Efficiency and purity • With E > 6 GeV and |cosθ| < 0.99

  7. Efficiency and purity • With E > 6 GeV and |cosθ| < 0.99, from Erik

  8. Definition differences MC μ Erik MC μ Jacopo • Pfo has to have hits in > 5 layers  take corresponding MC μ • MC μ produced inside a sphere of radious X from interaction point  I have less MC μ of low energy

  9. Efficiency and purity Compare

  10. Efficiency and purity Compare

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