Search for New Phenomena in Top-Antitop Quarks Final States with Additional Heavy-Flavour Jets with the ATLAS Detector

Lieferzeit: Lieferbar innerhalb 14 Tagen

160,49 

Springer Theses

ISBN: 981150931X
ISBN 13: 9789811509315
Autor: Yamaguchi, Daiki
Verlag: Springer Verlag GmbH
Umfang: xviii, 279 S., 7 s/w Illustr., 200 farbige Illustr., 279 p. 207 illus., 200 illus. in color.
Erscheinungsdatum: 12.11.2019
Auflage: 1/2020
Produktform: Gebunden/Hardback
Einband: Gebunden

Nominated as an outstanding Ph.D. thesis by the Tokyo Institute of Technology, Tokyo, JapanDescribes the sarch for peculiarly dense signatures; in general, high particle density degrades detector performance and hampers proper discrimination between signals and backgroundsSystematically describes essential aspects of the search such as the exhaustive event classification, evaluation of systematic uncertainties, and statistical treatmentAddresses detector operation and the evaluation of tracking performance

Artikelnummer: 7961317 Kategorie:

Beschreibung

This book reports on the search for a new heavy particle, the Vector-Like Top quark (VLT), in the Large Hadron Collider (LHC) at CERN. The signal process is the pair production of VLT decaying into a Higgs boson and top quark (TTHt+X, X=Ht, Wb, Zt). The signal events result in top-antitop quarks final states with additional heavy flavour jets. The book summarises the analysis of the data collected with the ATLAS detector in 2015 and 2016. In order to better differentiate between signals and backgrounds, exclusive taggers of top quark and Higgs boson were developed and optimised for VLT signals. These efforts improved the sensitivity by roughly 30%, compared to the previous analysis. The analysis outcomes yield the strongest constraints on parameter space in various BSM theoretical models. In addition, the book addresses detector operation and the evaluation of tracking performance. These efforts are essential to properly collecting dense events and improving the accuracy of the reconstructed objects that are used for particle identification. As such, they represent a valuable contribution to data analysis in extremely dense environments.

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