Tag and Probe technique tracking efficiency results at CMS

The determination of the detector efficiency is a critical ingredient in any physics measurement. It can be in general estimated using simulations, but simulations need to be calibrated with data. The tag-and-probe method provides a useful and elegant mechanism for extracting efficiencies directly from data. In this work, we present the tracking performance measured in data where the tag-and-probe technique was applied to the dimuon resonance $Z\to\mu^{+}\mu^{-}$ for all reconstructed muon trajectories and the subset of trajectories in which the CMS Tracker is used to seed the measurement. The performance is assessed using LHC 2022 and 2023 Run 3 data at a centre-of-mass energy of 13.6 TeV.

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Published
2024-12-17
DOI
https://doi.org/10.22323/1.476.0931
Primary Topic
Particle Detector Development and Performance
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article
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article

Tag and Probe technique tracking efficiency results at CMS

B. D’Anzi, Michele Barbieri
Particle Detector Development and Performance
article

Tag and Probe technique tracking efficiency results at CMS

B. D’Anzi, Michele Barbieri
article en

Abstract

The determination of the detector efficiency is a critical ingredient in any physics measurement. It can be in general estimated using simulations, but simulations need to be calibrated with data. The tag-and-probe method provides a useful and elegant mechanism for extracting efficiencies directly from data. In this work, we present the tracking performance measured in data where the tag-and-probe technique was applied to the dimuon resonance $Z\to\mu^{+}\mu^{-}$ for all reconstructed muon trajectories and the subset of trajectories in which the CMS Tracker is used to seed the measurement. The performance is assessed using LHC 2022 and 2023 Run 3 data at a centre-of-mass energy of 13.6 TeV.

Istituto Nazionale di Fisica Nucleare, Sezione di Bari (IT)
Affordable and clean energy
Openalex Percentile: Top 93%
Particle Detector Development and Performance
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Tag and Probe technique tracking efficiency results at CMS — B. D’Anzi, Michele Barbieri · (2024) | TGRS Research Map | TGRS