IIUM Repository

An embedding technique to determine ττ backgrounds in proton-proton collision data

Sirunyan, A. M. and Tumasyan, A. R. and Adam, Wolfgang and Ambrogi, Federico and Asilar, Ece and Md. Ali, Mohd. Adli (2019) An embedding technique to determine ττ backgrounds in proton-proton collision data. Journal of Instrumentation, 14 (6). pp. 1-54. ISSN 1748-0221

[img] PDF (The CMS project) - Published Version
Restricted to Repository staff only

Download (6MB) | Request a copy
[img]
Preview
PDF (Scopus) - Supplemental Material
Download (257kB) | Preview
[img]
Preview
PDF (wos) - Supplemental Material
Download (1MB) | Preview

Abstract

An embedding technique is presented to estimate standard model ττ backgrounds from data with minimal simulation input. In the data, the muons are removed from reconstructed µµ events and replaced with simulated tau leptons with the same kinematic properties. In this way, a set of hybrid events is obtained that does not rely on simulation except for the decay of the tau leptons. The challenges in describing the underlying event or the production of associated jets in the simulation are avoided. The technique described in this paper was developed for CMS. Its validation and the inherent uncertainties are also discussed. The demonstration of the performance of the technique is based on a sample of proton-proton collisions collected by CMS in 2017 at √ s = 13 TeV corresponding to an integrated luminosity of 41.5 fb−1 .

Item Type: Article (Journal)
Additional Information: 7861/76191
Uncontrolled Keywords: Pattern recognition; Cluster finding; Calibration and fitting methods; Performance of High Energy Physics Detectors
Subjects: Q Science > Q Science (General)
Q Science > QC Physics
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Science
Kulliyyah of Science > Department of Physics
Depositing User: Dr Mohd Adli MD Ali
Date Deposited: 13 Nov 2019 16:26
Last Modified: 13 Nov 2019 16:48
URI: http://irep.iium.edu.my/id/eprint/76191

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year