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Black Hole Origins and Fundamental Physics: New Techniques for Population Inference and Black Hole Spectroscopy
Black Hole Origins and Fundamental Physics: New Techniques for Population Inference and Bl...
Black Hole Origins and Fundamental Physics: New Techniques for Population Inference and Black Hole Spectroscopy

상세정보

자료유형  
 학위논문 서양
최종처리일시  
20260311091541.5
ISBN  
9798270229450
DDC  
519.5
저자명  
Hussain, Asad
서명/저자  
Black Hole Origins and Fundamental Physics: New Techniques for Population Inference and Black Hole Spectroscopy / Asad Hussain
발행사항  
[Sl] : The University of Texas at Austin, 2025
형태사항  
1 electronic resource (188 pages)
주기사항  
Source: Dissertations Abstracts International, Volume: 87-06, Section: B.
주기사항  
Advisors: Zimmerman, Aaron Committee members: Shoemaker, Deirdre; Caceres, Elena; Ghattas, Omar; Laguna, Pablo .
학위논문주기  
- Ph.D. : The University of Texas at Austin, 2025.
초록/해제  
요약The era of gravitational wave astronomy has opened a new observational window into the universe, offering unprecedented opportunities to probe physics previously inaccessible through traditional electromagnetic observations. The gravitational wave catalogs published by the LIGO-Kagra-Virgo collaboration have rapidly grown, now including O(100) events, with even more data expected from ongoing and next-generation gravitational wave detectors. This dissertation focuses on developing new computational and theoretical tools for precision black hole spectroscopy & astrophysical population inference. Firstly we present techniques aiming to explore fundamental physics beyond General Relativity (GR). I introduce a novel computational framework that generalizes the Teukolsky formalism -- originally formulated for Kerr black holes -- to a broader class of modified gravity theories. This enables calculations of shifts in the black hole quasinormal mode spectrum, providing a method for testing theories of gravity using gravitational wave data. Additionally, this work introduces new statistical techniques tailored for accurately analyzing astrophysical populations from gravitational wave detections. I develop a hierarchical inference method specifically designed to probe compact features at the edges of astrophysical parameter spaces, such as black hole spin distributions. Central to this effort is the creation of a truncated Gaussian mixture modeling (TGMM) framework, which significantly reduces biases arising near parameter boundaries. Applying this approach to binary black hole mergers observed in the GWTC-3 catalog, I uncover some evidence for two distinct spin subpopulations: a dominant low-spin group and a significant, rapidly spinning subgroup, and an anti-correlation between the component spin magnitudes of the black holes in a binary.
언어주기  
English
일반주제명  
Astrophysics
일반주제명  
Physics
키워드  
Black holes
키워드  
Population inference
키워드  
Gravitational wave astronomy
키워드  
Truncated Gaussian mixture modeling
기타저자  
The University of Texas at Austin Physics
기본자료저록  
Dissertations Abstracts International. 87-06B.
전자적 위치 및 접속  
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■040    ▼aMiAaPQD▼beng▼cMiAaPQD▼erda
■082    ▼a519.5
■1001  ▼aHussain,  Asad▼eauthor.
■24510▼aBlack  Hole  Origins  and  Fundamental  Physics:  New  Techniques  for  Population  Inference  and  Black  Hole  Spectroscopy  ▼cAsad  Hussain
■260    ▼a[Sl]▼bThe  University  of  Texas  at  Austin▼c2025
■264  1▼aAnn  Arbor▼bProQuest  Dissertations  &  Theses▼c2025
■300    ▼a1  electronic  resource  (188  pages)
■336    ▼atext▼btxt▼2rdacontent
■337    ▼acomputer▼bc▼2rdamedia
■338    ▼aonline  resource▼bcr▼2rdacarrier
■500    ▼aSource:  Dissertations  Abstracts  International,  Volume:  87-06,  Section:  B.
■500    ▼aAdvisors:  Zimmerman,  Aaron    Committee  members:  Shoemaker,  Deirdre;  Caceres,  Elena;  Ghattas,  Omar;  Laguna,  Pablo  .
■5021  ▼bPh.D.▼cThe  University  of  Texas  at  Austin▼d2025.
■520    ▼aThe  era  of  gravitational  wave  astronomy  has  opened  a  new  observational  window  into  the  universe,  offering  unprecedented  opportunities  to  probe  physics  previously  inaccessible  through  traditional  electromagnetic  observations.  The  gravitational  wave  catalogs  published  by  the  LIGO-Kagra-Virgo  collaboration  have  rapidly  grown,  now  including  O(100)  events,  with  even  more  data  expected  from  ongoing  and  next-generation  gravitational  wave  detectors.  This  dissertation  focuses  on  developing  new  computational  and  theoretical  tools  for  precision  black  hole  spectroscopy  &  astrophysical  population  inference.  Firstly  we  present  techniques  aiming  to  explore  fundamental  physics  beyond  General  Relativity  (GR).  I  introduce  a  novel  computational  framework  that  generalizes  the  Teukolsky  formalism  --  originally  formulated  for  Kerr  black  holes  --  to  a  broader  class  of  modified  gravity  theories.  This  enables  calculations  of  shifts  in  the  black  hole  quasinormal  mode  spectrum,  providing  a  method  for  testing  theories  of  gravity  using  gravitational  wave  data.  Additionally,  this  work  introduces  new  statistical  techniques  tailored  for  accurately  analyzing  astrophysical  populations  from  gravitational  wave  detections.  I  develop  a  hierarchical  inference  method  specifically  designed  to  probe  compact  features  at  the  edges  of  astrophysical  parameter  spaces,  such  as  black  hole  spin  distributions.  Central  to  this  effort  is  the  creation  of  a  truncated  Gaussian  mixture  modeling  (TGMM)  framework,  which  significantly  reduces  biases  arising  near  parameter  boundaries.  Applying  this  approach  to  binary  black  hole  mergers  observed  in  the  GWTC-3  catalog,  I  uncover  some  evidence  for  two  distinct  spin  subpopulations:  a  dominant  low-spin  group  and  a  significant,  rapidly  spinning  subgroup,  and  an  anti-correlation  between  the  component  spin  magnitudes  of  the  black  holes  in  a  binary.
■546    ▼aEnglish
■590    ▼aSchool  code:  0227
■650  4▼aAstrophysics
■650  4▼aPhysics
■653    ▼aBlack  holes
■653    ▼aPopulation  inference
■653    ▼aGravitational  wave  astronomy
■653    ▼aTruncated  Gaussian  mixture  modeling
■7102  ▼aThe  University  of  Texas  at  Austin▼bPhysics.▼edegree  granting  institution.
■7201  ▼aZimmerman,  Aaron▼edegree  supervisor.
■7730  ▼tDissertations  Abstracts  International▼g87-06B.
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17361127▼nKERIS▼z이  자료의  원문은  한국교육학술정보원에서  제공합니다.

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