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Gravitational Wave Exotica - Advancing the Search for Signatures of Exotic Compact Objects and Gravitational Lensing from Data-Analysis and Theoretical Perspectives

Citation

Lo, Ka Lok (Rico) (2024) Gravitational Wave Exotica - Advancing the Search for Signatures of Exotic Compact Objects and Gravitational Lensing from Data-Analysis and Theoretical Perspectives. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/gycj-ch63. https://resolver.caltech.edu/CaltechTHESIS:08312023-190727801

Abstract

In this thesis, I explore two new arenas of gravitational-wave physics and advance them from both data-analysis and theoretical perspectives. I probe the nature of the remnant of a compact binary merger and study the strong gravitational lensing of gravitational waves. For probing the nature of a merger remnant, I first describe recipes of computing radiation emitted by a perturbed Kerr black hole, and in particular using the Generalized Sasaki-Nakamura formalism. Using a modified Kerr black hole spacetime as a model of a generic compact object, I then describe a prescription to compute waveforms of the repeating bursts of gravitational waves, referred to as gravitational-wave echoes, that are theorized to be emitted when a compact object with a reflective surface is formed as the remnant of a merger. Equipped with a waveform model for these echoes, I present a Bayesian model selection approach to look for echoes in data while inferring properties of the potential exotic compact object. I apply this approach to search for echoes in the data covering the first, the second, and the first half of the third observing run of the LIGO-Virgo-KAGRA network. For the strong lensing of gravitational waves, I first develop a Bayesian statistical framework that is capable of computing the probability of a given set of gravitational-wave events being the strongly-lensed counterparts of the same source or simply coming from distinct sources. If they are truly lensed, the framework can also infer the properties of the lensed source in a way unaffected by lensing. I apply this framework to search for signatures of strongly-lensed binary black hole systems in the data covering the third observing run. While we did not find any statistically significant evidence in the search for gravitational-wave echoes and strongly-lensed binary black holes, we can still place limits using the null results. Admittedly the existence of exotic compact objects is speculative and the observing rate of strongly-lensed gravitational waves is rare; however, the scientific impacts that they can bring are profound if they are proven to exist.

Item Type:Thesis (Dissertation (Ph.D.))
Subject Keywords:gravitational waves; general relativity; exotic compact objects; gravitational lensing
Degree Grantor:California Institute of Technology
Division:Physics, Mathematics and Astronomy
Major Option:Physics
Thesis Availability:Public (worldwide access)
Research Advisor(s):
  • Weinstein, Alan Jay
Group:LIGO
Thesis Committee:
  • Chen, Yanbei (chair)
  • Chatziioannou, Katerina
  • Fuller, James
  • Weinstein, Alan Jay
Defense Date:1 August 2023
Funders:
Funding AgencyGrant Number
National Science FoundationPHY-0757058
National Science FoundationPHY-1912594
National Science FoundationPHY-2207758
Croucher FoundationUNSPECIFIED
Record Number:CaltechTHESIS:08312023-190727801
Persistent URL:https://resolver.caltech.edu/CaltechTHESIS:08312023-190727801
DOI:10.7907/gycj-ch63
Related URLs:
URLURL TypeDescription
https://arxiv.org/abs/2306.16469arXivChapter 4
https://doi.org/10.1103/PhysRevD.104.104005DOIAdapted for Chapter 5
https://doi.org/10.1103/PhysRevD.99.084052DOIChapter 6
https://doi.org/10.1103/PhysRevD.103.122002DOIAdapted for Chapter 8
https://doi.org/10.1103/PhysRevD.107.123015DOIChapter 11
https://doi.org/10.3847/1538-4357/ac23dbDOIAdapted for Chapter 12
https://arxiv.org/abs/2304.08393arXivAdapted for Chapter 13
https://arxiv.org/abs/2305.14379arXivAdapted for Chapter 14
https://arxiv.org/abs/2306.03827arXivAdapted for Chapter 14
ORCID:
AuthorORCID
Lo, Ka Lok (Rico)0000-0003-1561-6716
Default Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:16172
Collection:CaltechTHESIS
Deposited By: Ka Lok Lo
Deposited On:14 Sep 2023 18:57
Last Modified:12 Jun 2024 20:53

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