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Syracuse University

Detector Characterization for Advanced LIGO

Abstract

dc:description.abstract

<p>The first observing run of Advanced LIGO spanned 4 months, from September</p> <p>12, 2015 to January 19, 2016, during which gravitational waves were directly detected</p> <p>from two binary black hole systems, namely GW150914 and GW151226. Confident</p> <p>detection of gravitational waves requires an understanding of instrumental noise transients</p> <p>and artifacts that can reduce the sensitivity of a search for gravitational waves.</p> <p>Studies of the quality of the detector data yield insights into the cause of instrumental</p> <p>artifacts and data quality vetoes specific to a search are produced to mitigate the</p> <p>effects of problematic data.</p> <p>This dissertation provides an overview of the methods used to characterize noise</p> <p>in the LIGO interferometers and provides examples of successful removal of transient</p> <p>noise. The data set used in the first observing run is validated. Further, the systematic</p> <p>removal of noisy data from analysis time is shown to improve the sensitivity of searches</p> <p>for compact binary coalescences. The output of the PyCBC pipeline is used as a</p> <p>metric for improvement.</p> <p>The first direct detection of gravitational waves, GW150914, was a loud enough</p> <p>signal that removing data with excess noise did not improve its significance. However,</p> <p>the removal of data with excess noise decreased the false alarm rate of GW151226 by</p> <p>a factor of 567, from 1 in 320 years (3.9 σ) to 1 in 183000 years (> 5.3 σ).</p>

Degree

thesis:*
Name thesis:degree_name
Doctor of Philosophy (PhD)
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Physics
Year
2016

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Massinger, Thomas James
Contributors dc:contributor
  • Peter R. Saulson
  • Howard Blair

Subjects

dc:subject × 1

Identifiers

dc:identifier.*
Repository record dc:identifier
https://surface.syr.edu/etd/633
OAI identifier oai:identifier
oai:surface.syr.edu:etd-1633

Chain of custody

source
Harvested from
Syracuse University
Base URL
surface.syr.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Massinger, Thomas James. Detector Characterization for Advanced LIGO. Dissertation thesis, 2016. https://surface.syr.edu/etd/633