Please use this identifier to cite or link to this item:
https://hdl.handle.net/10316/108661
Title: | Identification of high transverse momentum top quarks in pp collisions at √s= 8 TeV with the ATLAS detector | Authors: | Santos, S. P. Amor dos Carvalho, J. Fiolhais, M. C. N. Galhardo, B. Veloso, F. Wolters, H. ATLAS Collaboration |
Keywords: | Hadron-Hadron scattering (experiments) | Issue Date: | 2016 | Publisher: | Springer Nature | Serial title, monograph or event: | Journal of High Energy Physics | Volume: | 2016 | Issue: | 6 | Abstract: | This paper presents studies of the performance of several jet-substructure techniques, which are used to identify hadronically decaying top quarks with high transverse momentum contained in large-radius jets. The efficiency of identifying top quarks is measured using a sample of top-quark pairs and the rate of wrongly identifying jets from other quarks or gluons as top quarks is measured using multijet events collected with the ATLAS experiment in 20.3 fb−1of 8 TeV proton-proton collisions at the Large Hadron Collider. Predictions from Monte Carlo simulations are found to provide an accurate description of the performance. The techniques are compared in terms of signal efficiency and background rejection using simulations, covering a larger range in jet transverse momenta than accessible in the dataset. Additionally, a novel technique is developed that is optimized to reconstruct top quarks in events with many jets. | URI: | https://hdl.handle.net/10316/108661 | DOI: | 10.1007/JHEP06(2016)093 | Rights: | openAccess |
Appears in Collections: | FCTUC Física - Artigos em Revistas Internacionais |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Identification-of-high-transverse-momentum-top-quarks-in-pp-collisions-at-s-8-TeV-with-the-ATLAS-detectorJournal-of-High-Energy-Physics.pdf | 8.44 MB | Adobe PDF | View/Open |
Page view(s)
84
checked on Oct 9, 2024
Download(s)
35
checked on Oct 9, 2024
Google ScholarTM
Check
Altmetric
Altmetric
This item is licensed under a Creative Commons License