서브메뉴
검색
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 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
- 기타저자
- The University of Texas at Austin Physics
- 기본자료저록
- Dissertations Abstracts International. 87-06B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
008260311s2025 us eng d■001000017361127
■00520260311091541.5
■006m o d
■007cr|nu||||||||
■020 ▼a9798270229450
■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.


