# Lepton identification at particle flow oriented detector for the future   $e^{+}e^{-}$ Higgs factories

**Authors:** Dan Yu, Manqi Ruan, Vincent Boudry, Henri Videau

arXiv: 1701.07542 · 2017-10-11

## TL;DR

This paper presents a lepton identification method using TMVA for future e+e- Higgs factories, achieving over 99.5% efficiency and low mis-identification rates with stable performance across calorimeter granularities.

## Contribution

The development of a TMVA-based lepton identification toolkit tailored for high granularity calorimeter detectors in future e+e- colliders, demonstrating high efficiency and robustness.

## Key findings

- Lepton identification efficiency exceeds 99.5%.
- Mis-identification rates are below 1% for hadron to muon/electron.
- Performance remains stable despite reductions in calorimeter granularity.

## Abstract

The lepton identification is essential for the physics programs at high-energy frontier, especially for the precise measurement of the Higgs boson. For this purpose, a Toolkit for Multivariate Data Analysis (TMVA) based lepton identification (LICH) has been developed for detectors using high granularity calorimeters. Using the conceptual detector geometry for the Circular Electron-Positron Collider (CEPC) and single charged particle samples with energy larger than 2 GeV, LICH identifies electrons/muons with efficiencies higher than 99.5% and controls the mis-identification rate of hadron to muons/electrons to better than 1%/0.5%. Reducing the calorimeter granularity by 1-2 orders of magnitude, the lepton identification performance is stable for particles with E > 2 GeV. Applied to fully simulated eeH/$\mu\mu$H events, the lepton identification performance is consistent with the single particle case: the efficiency of identifying all the high energy leptons in an event, is 95.5-98.5%.

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/1701.07542/full.md

## Figures

18 figures with captions in the complete paper: https://tomesphere.com/paper/1701.07542/full.md

## References

18 references — full list in the complete paper: https://tomesphere.com/paper/1701.07542/full.md

---
Source: https://tomesphere.com/paper/1701.07542