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  • 2021PeskettMScRes

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The Impact of Quark/Gluon Tagging on Searches for Dark Matter in Dijet Event Data with the ATLAS Detector

Research output: Thesis › Master's Thesis

Published

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The Impact of Quark/Gluon Tagging on Searches for Dark Matter in Dijet Event Data with the ATLAS Detector. / Peskett, Joe.
Lancaster University, 2021. 62 p.

Research output: Thesis › Master's Thesis

Harvard

Peskett, J 2021, 'The Impact of Quark/Gluon Tagging on Searches for Dark Matter in Dijet Event Data with the ATLAS Detector', Masters by Research, Lancaster University. https://doi.org/10.17635/lancaster/thesis/1366

APA

Peskett, J. (2021). The Impact of Quark/Gluon Tagging on Searches for Dark Matter in Dijet Event Data with the ATLAS Detector. [Master's Thesis, Lancaster University]. Lancaster University. https://doi.org/10.17635/lancaster/thesis/1366

Vancouver

Peskett J. The Impact of Quark/Gluon Tagging on Searches for Dark Matter in Dijet Event Data with the ATLAS Detector. Lancaster University, 2021. 62 p. doi: 10.17635/lancaster/thesis/1366

Author

Peskett, Joe. / The Impact of Quark/Gluon Tagging on Searches for Dark Matter in Dijet Event Data with the ATLAS Detector. Lancaster University, 2021. 62 p.

Bibtex

@mastersthesis{733b50b3960c4b2a91a1fb4499f4505f,
title = "The Impact of Quark/Gluon Tagging on Searches for Dark Matter in Dijet Event Data with the ATLAS Detector",
abstract = "Differentiating between quark-and-gluon initiated events can be a useful tool for increasing the signal to noise ratio in searches of new physics. This thesis presents an analysis of the impact of quark-gluon tagging on the dijet invariant mass spectrum. Monte Carlo simulated data were compared with the ATLAS data from Run-2 of the LHC at 13 TeV. Truth information from the simulations was used to make a simple quark-gluon tagger based on the sum of the multiplicities of the two leading jets in a dijet event. A range of gluon-gluon selection efficiencies were applied to a H′ signal and 95% CL upper limits were found and compared between tagged and untagged samples. No improvements in the H′ upper limits were observed for any tested efficiency.",
keywords = "Quark Gluon Tagging, Dijets, ATLAS experiment",
author = "Joe Peskett",
year = "2021",
doi = "10.17635/lancaster/thesis/1366",
language = "English",
publisher = "Lancaster University",
school = "Lancaster University",

}

RIS

TY - THES

T1 - The Impact of Quark/Gluon Tagging on Searches for Dark Matter in Dijet Event Data with the ATLAS Detector

AU - Peskett, Joe

PY - 2021

Y1 - 2021

N2 - Differentiating between quark-and-gluon initiated events can be a useful tool for increasing the signal to noise ratio in searches of new physics. This thesis presents an analysis of the impact of quark-gluon tagging on the dijet invariant mass spectrum. Monte Carlo simulated data were compared with the ATLAS data from Run-2 of the LHC at 13 TeV. Truth information from the simulations was used to make a simple quark-gluon tagger based on the sum of the multiplicities of the two leading jets in a dijet event. A range of gluon-gluon selection efficiencies were applied to a H′ signal and 95% CL upper limits were found and compared between tagged and untagged samples. No improvements in the H′ upper limits were observed for any tested efficiency.

AB - Differentiating between quark-and-gluon initiated events can be a useful tool for increasing the signal to noise ratio in searches of new physics. This thesis presents an analysis of the impact of quark-gluon tagging on the dijet invariant mass spectrum. Monte Carlo simulated data were compared with the ATLAS data from Run-2 of the LHC at 13 TeV. Truth information from the simulations was used to make a simple quark-gluon tagger based on the sum of the multiplicities of the two leading jets in a dijet event. A range of gluon-gluon selection efficiencies were applied to a H′ signal and 95% CL upper limits were found and compared between tagged and untagged samples. No improvements in the H′ upper limits were observed for any tested efficiency.

KW - Quark Gluon Tagging

KW - Dijets

KW - ATLAS experiment

U2 - 10.17635/lancaster/thesis/1366

DO - 10.17635/lancaster/thesis/1366

M3 - Master's Thesis

PB - Lancaster University

ER -