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\BOOKMARK [0][-]{chapter.1}{Introduction}{}% 1
\BOOKMARK [0][-]{chapter.2}{Introduction to Gravitational Wave Astronomy}{}% 2
\BOOKMARK [1][-]{section.2.1}{Gravitational Waves}{chapter.2}% 3
\BOOKMARK [2][-]{subsection.2.1.1}{Linearised Gravity}{section.2.1}% 4
\BOOKMARK [2][-]{subsection.2.1.2}{Gauge Transformation}{section.2.1}% 5
\BOOKMARK [2][-]{subsection.2.1.3}{Physical Effects of Gravitational Waves}{section.2.1}% 6
\BOOKMARK [1][-]{section.2.2}{Gravitational Wave Generation}{chapter.2}% 7
\BOOKMARK [1][-]{section.2.3}{Gravitational Wave Sources}{chapter.2}% 8
\BOOKMARK [1][-]{section.2.4}{Gravitational Wave Detection}{chapter.2}% 9
\BOOKMARK [2][-]{subsection.2.4.1}{The Michelson Interferometer}{section.2.4}% 10
\BOOKMARK [2][-]{subsection.2.4.2}{Interferometer Antenna Pattern}{section.2.4}% 11
\BOOKMARK [2][-]{subsection.2.4.3}{Interferometer Noise}{section.2.4}% 12
\BOOKMARK [2][-]{subsection.2.4.4}{Matched Filtering}{section.2.4}% 13
\BOOKMARK [2][-]{subsection.2.4.5}{Beyond the Michelson Interferometer}{section.2.4}% 14
\BOOKMARK [2][-]{subsection.2.4.6}{The Global Network of Interferometers}{section.2.4}% 15
\BOOKMARK [2][-]{subsection.2.4.7}{Previous LIGO and Virgo Observing Runs}{section.2.4}% 16
\BOOKMARK [0][-]{chapter.3}{Gamma-Ray Bursts}{}% 17
\BOOKMARK [1][-]{section.3.1}{The History of Gamma-ray Burst Astronomy}{chapter.3}% 18
\BOOKMARK [2][-]{subsection.3.1.1}{Cold War Tension and an Unexpected Discovery}{section.3.1}% 19
\BOOKMARK [2][-]{subsection.3.1.2}{BATSE and the Galactic/Extra-Galactic Controversy}{section.3.1}% 20
\BOOKMARK [2][-]{subsection.3.1.3}{The Long and Short of Gamma-ray Bursts}{section.3.1}% 21
\BOOKMARK [2][-]{subsection.3.1.4}{BeppoSAX and the First Afterglows}{section.3.1}% 22
\BOOKMARK [2][-]{subsection.3.1.5}{The Fireball Model}{section.3.1}% 23
\BOOKMARK [2][-]{subsection.3.1.6}{Jets}{section.3.1}% 24
\BOOKMARK [2][-]{subsection.3.1.7}{The Long GRB-Supernova Connection}{section.3.1}% 25
\BOOKMARK [2][-]{subsection.3.1.8}{The Short GRB-Compact Binary Connection}{section.3.1}% 26
\BOOKMARK [1][-]{section.3.2}{Gravitational Waves and GRB 170817A}{chapter.3}% 27
\BOOKMARK [2][-]{subsection.3.2.1}{Initial Observation and Followup}{section.3.2}% 28
\BOOKMARK [2][-]{subsection.3.2.2}{Kilonova Observation}{section.3.2}% 29
\BOOKMARK [2][-]{subsection.3.2.3}{Structured Jets}{section.3.2}% 30
\BOOKMARK [2][-]{subsection.3.2.4}{Other Scientific Results}{section.3.2}% 31
\BOOKMARK [1][-]{section.3.3}{GRB Progenitors}{chapter.3}% 32
\BOOKMARK [2][-]{subsection.3.3.1}{Compact Binary Coalescence}{section.3.3}% 33
\BOOKMARK [2][-]{subsection.3.3.2}{Core Collapse}{section.3.3}% 34
\BOOKMARK [1][-]{section.3.4}{GRB Detectors}{chapter.3}% 35
\BOOKMARK [2][-]{subsection.3.4.1}{Swift}{section.3.4}% 36
\BOOKMARK [2][-]{subsection.3.4.2}{Fermi}{section.3.4}% 37
\BOOKMARK [2][-]{subsection.3.4.3}{The InterPlanetary Network}{section.3.4}% 38
\BOOKMARK [1][-]{section.3.5}{GRB Gravitational Wave Search Strategies}{chapter.3}% 39
\BOOKMARK [2][-]{subsection.3.5.1}{Triggered and Untriggered Searches}{section.3.5}% 40
\BOOKMARK [2][-]{subsection.3.5.2}{Modeled and Burst Searches}{section.3.5}% 41
\BOOKMARK [1][-]{section.3.6}{GRB Astrophysics with Gravitational Waves}{chapter.3}% 42
\BOOKMARK [0][-]{chapter.4}{A Targeted Search for Gravitational Waves associated with Short GRBs}{}% 43
\BOOKMARK [1][-]{section.4.1}{Coherent Matched Filtering}{chapter.4}% 44
\BOOKMARK [2][-]{subsection.4.1.1}{Binary Coalescence Waveform}{section.4.1}% 45
\BOOKMARK [2][-]{subsection.4.1.2}{Coherent SNR}{section.4.1}% 46
\BOOKMARK [2][-]{subsection.4.1.3}{Comparison to Coincident Search}{section.4.1}% 47
\BOOKMARK [2][-]{subsection.4.1.4}{Null SNR}{section.4.1}% 48
\BOOKMARK [2][-]{subsection.4.1.5}{Searching for Face on Signals}{section.4.1}% 49
\BOOKMARK [2][-]{subsection.4.1.6}{Coherent 2 Tests}{section.4.1}% 50
\BOOKMARK [1][-]{section.4.2}{The PyGRB Workflow}{chapter.4}% 51
\BOOKMARK [2][-]{subsection.4.2.1}{Background Noise Rejection}{section.4.2}% 52
\BOOKMARK [2][-]{subsection.4.2.2}{Reweighted SNR}{section.4.2}% 53
\BOOKMARK [2][-]{subsection.4.2.3}{Event Significance}{section.4.2}% 54
\BOOKMARK [2][-]{subsection.4.2.4}{Searching over a Sky Patch}{section.4.2}% 55
\BOOKMARK [2][-]{subsection.4.2.5}{Template Bank}{section.4.2}% 56
\BOOKMARK [2][-]{subsection.4.2.6}{Calculating Search Sensitivity}{section.4.2}% 57
\BOOKMARK [2][-]{subsection.4.2.7}{The PyGRB Workflow}{section.4.2}% 58
\BOOKMARK [1][-]{section.4.3}{O2 PyGRB Search}{chapter.4}% 59
\BOOKMARK [2][-]{subsection.4.3.1}{GRB sample}{section.4.3}% 60
\BOOKMARK [2][-]{subsection.4.3.2}{Results}{section.4.3}% 61
\BOOKMARK [2][-]{subsection.4.3.3}{Rates}{section.4.3}% 62
\BOOKMARK [0][-]{chapter.5}{The Future of PyGRB}{}% 63
\BOOKMARK [1][-]{section.5.1}{Reasons to Rewrite the Pipeline}{chapter.5}% 64
\BOOKMARK [1][-]{section.5.2}{Workflow Modifications}{chapter.5}% 65
\BOOKMARK [2][-]{subsection.5.2.1}{Consistency Checks}{section.5.2}% 66
\BOOKMARK [2][-]{subsection.5.2.2}{Detection Statistic}{section.5.2}% 67
\BOOKMARK [2][-]{subsection.5.2.3}{The new Coherent Matched Filtering Executable}{section.5.2}% 68
\BOOKMARK [1][-]{section.5.3}{Search Performance}{chapter.5}% 69
\BOOKMARK [2][-]{subsection.5.3.1}{Testing the Detection Statistic}{section.5.3}% 70
\BOOKMARK [2][-]{subsection.5.3.2}{Computational Cost}{section.5.3}% 71
\BOOKMARK [1][-]{section.5.4}{Future Plans}{chapter.5}% 72
\BOOKMARK [0][-]{chapter.6}{A Search for Unmodelled Gravitational Wave Signals using Machine Learning}{}% 73
\BOOKMARK [1][-]{section.6.1}{X-pipeline}{chapter.6}% 74
\BOOKMARK [2][-]{subsection.6.1.1}{Burst Search Background}{section.6.1}% 75
\BOOKMARK [2][-]{subsection.6.1.2}{Standard Likelihood}{section.6.1}% 76
\BOOKMARK [2][-]{subsection.6.1.3}{Null Energy}{section.6.1}% 77
\BOOKMARK [2][-]{subsection.6.1.4}{Incoherent Energy and Background Rejection}{section.6.1}% 78
\BOOKMARK [2][-]{subsection.6.1.5}{Tuning and Trigger Significance}{section.6.1}% 79
\BOOKMARK [2][-]{subsection.6.1.6}{O2 X-pipeline Search}{section.6.1}% 80
\BOOKMARK [1][-]{section.6.2}{Machine Learning}{chapter.6}% 81
\BOOKMARK [2][-]{subsection.6.2.1}{Supervised Machine Learning}{section.6.2}% 82
\BOOKMARK [2][-]{subsection.6.2.2}{Boosted Decision Trees}{section.6.2}% 83
\BOOKMARK [2][-]{subsection.6.2.3}{Training Data Preprocessing}{section.6.2}% 84
\BOOKMARK [2][-]{subsection.6.2.4}{Optimisation and Validation}{section.6.2}% 85
\BOOKMARK [1][-]{section.6.3}{Effectiveness of XTMVA}{chapter.6}% 86
\BOOKMARK [2][-]{subsection.6.3.1}{Analysis Setup}{section.6.3}% 87
\BOOKMARK [2][-]{subsection.6.3.2}{Sensitivity and Speed Comparison}{section.6.3}% 88
\BOOKMARK [2][-]{subsection.6.3.3}{XTMVA Search Results}{section.6.3}% 89
\BOOKMARK [1][-]{section.6.4}{Discussion and Future Work}{chapter.6}% 90
\BOOKMARK [2][-]{subsection.6.4.1}{Low p-value Triggers}{section.6.4}% 91
\BOOKMARK [2][-]{subsection.6.4.2}{Long Injections}{section.6.4}% 92
\BOOKMARK [2][-]{subsection.6.4.3}{Machine Learning Developments}{section.6.4}% 93
\BOOKMARK [2][-]{subsection.6.4.4}{Comparison to other Machine Learning Approaches}{section.6.4}% 94
\BOOKMARK [0][-]{chapter.7}{Conclusions}{}% 95
\BOOKMARK [0][-]{section*.34}{Appendices}{}% 96
\BOOKMARK [0][-]{appendix.A}{General Relativity}{}% 97
\BOOKMARK [0][-]{appendix.B}{Results Tables}{}% 98