Multijet Background Estimation For SUSY Searches And Particle Flow Offline Reconstruction Using ...

Multijet Background Estimation For SUSY Searches And Particle Flow Offline Reconstruction Using ...

216 Pages · 2015 · 10 MB · English

reading some of the first drafts; I know how challenging that must have been. Without the love and support of my 4.22 W mass peak within the MT distribution for the ATLAS 2012 data set in t¯tand Wt events after the 6.24 2012 Mercedes analysis optimal b-tag R2distributions 140.

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Multijet Background Estimation For SUSY Searches And Particle Flow O ine Reconstruction Using The ATLAS Detector At The LHC Gareth Thomas Fletcher A Thesis Submitted for the Degree of Doctor of Philosophy in Physics Department of Physics and AstronomyThe University of She eld March 2015 A bstract This thesis describes the jet smearing method, a datadriven technique for estimating the multijet background to Supersymmetry (SUSY) searches using the ATLAS detector at the Large Hadron Collider (LHC) The nal 2011 and 2012 “ATLAS jets, missing transverse energy and zero leptons analysis” searches for SUSY are also documented These analyses used the full ATLAS 2011 47 fb 1 p s = 7 TeV and 2012 203 fb 1 p s = 8 TeV data sets No statistically signicant excess was found in either of these analyses; therefore, 95% CL mass exclusion limits were set on the mSUGRA /CMSSM m 0 m 1 / 2 and m ˜ q m ˜ g mass planes, and the simplied squarkgluinoneutralino pMSSM model The jet smearing method was used in these analyses to estimate the multijet distributions of the Signal, Validation and Control Regions and also to calculate the multijet background Transfer Factors This thesis also describes the missing transverse energy ( Emiss T ) performance studies of the ATLAS particle ow (PFlow) o ine reconstruction algorithm in Z! ,t¯ t and W t events using Monte Carlo simulated data and the ATLAS 2012 p s = 8 TeV data set The particle ow Emiss T algorithms outperformed MET RefFinal in most aspects, including resolution, scale and pileup independence The particle ow algorithm also described the expected M Tdistribution in t¯ t and W tevents better than MET RefFinal ii A cknowledgements First, I would like to thank my supervisor, Dan Tovey There is no that doubt without his guidance, wisdom and direction over the course of my degree, this thesis would not have been written I would also like to give a special thank you to Mark Hodgkinson and Chris Young for all the help which you have both given me during my degree It has been a pleasure to work with you both over the years, and I doubt some of the results would have been possible without either of you I would like to thank James Foley for helping to proof read many chapters of my thesis Next, I would like to thank the She eld ATLAS group I am sure that every person within the group has given me some help and guidance during my degree I don't think the experience during my degree would have been as enjoyable without my numerous friends and colleagues within the Particle Physics and Particle Astrophysics group: to name a few Tim, Martin, Kerry, Steve, Ed and Brias I also wish the group luck in future Bubble Chamber cups! I am sure my excellent defending will be missed I would like to thank the UK LTA 201214 crowd My time at CERN would have never been as enjoyable without all of you I would like to mention a few people in particular: Sam, Richard, Shaun, Carl and Nikki It was a pleasure to organise the 2013 UK LTA CERN ski trip to Tignes, but I couldn't have done it without the other members of the committee (Sam, Rebecca and Tom) Finally, I would like to give a special thank you to my family, my parents, Sue and Paul, and my brother and sister, James and Rachel A special thank you to my sister for proof reading some of the rst drafts; I know how challenging that must have been Without the love and support of my family, I don't think I would have managed to complete my PhD, so this thesis is dedicated to you iii iv Contents Author's Contribution1 1 Introduction3 2 Theoretical Background5 21 Introduction 5 22 Standard Model

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