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Probing Galaxy Evolution and the Baryon Cycle via Novel Statistical Techniques and Instrumentation
Probing Galaxy Evolution and the Baryon Cycle via Novel Statistical Techniques and Instrumentation
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20260202102958
- ISBN
- 9798286443574
- DDC
- 520
- 저자명
- Pasha, Imad.
- 서명/저자
- Probing Galaxy Evolution and the Baryon Cycle via Novel Statistical Techniques and Instrumentation
- 발행사항
- [Sl] : Yale University, 2025
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2025
- 형태사항
- 328 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 86-12, Section: B.
- 주기사항
- Advisor: van Dokkum, Pieter G.
- 학위논문주기
- Thesis (Ph.D.)--Yale University, 2025.
- 초록/해제
- 요약Understanding the formation and evolution of galaxies across cosmic time requires both observations across redshift, wavelength, and method as well as sophisticated machinery for interpreting and carrying out inference on observations. Techniques such Bayesian Inference, Simulation Based Inference, and Machine learning are seeing increased use as attempts are made to extract meaningful results from challenging data. Meanwhile new instrumentation, from spectrographs on major telescopes (e.g., KCWI and MUSE) to new, novel designs (e.g., the Mothra Telescope Array) are providing new observational windows into heretofore invisible portions of the baryon cycle --- a fundamental cycle driving and describing how baryons move throughout the universe and into and out of galaxies. This thesis presents the development and application of statistical techniques and novel instrumentation to infer the properties of galaxies and their place within the baryon cycle.
- 일반주제명
- Astronomy
- 일반주제명
- Astrophysics
- 일반주제명
- Statistics
- 키워드
- Baryon cycle
- 기타저자
- Yale University Astronomy
- 기본자료저록
- Dissertations Abstracts International. 86-12B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■006m o d
■007cr#unu||||||||
■020 ▼a9798286443574
■035 ▼a(MiAaPQ)AAI31770776
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a520
■1001 ▼aPasha, Imad.
■24510▼aProbing Galaxy Evolution and the Baryon Cycle via Novel Statistical Techniques and Instrumentation
■260 ▼a[Sl]▼bYale University▼c2025
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2025
■300 ▼a328 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 86-12, Section: B.
■500 ▼aAdvisor: van Dokkum, Pieter G.
■5021 ▼aThesis (Ph.D.)--Yale University, 2025.
■520 ▼aUnderstanding the formation and evolution of galaxies across cosmic time requires both observations across redshift, wavelength, and method as well as sophisticated machinery for interpreting and carrying out inference on observations. Techniques such Bayesian Inference, Simulation Based Inference, and Machine learning are seeing increased use as attempts are made to extract meaningful results from challenging data. Meanwhile new instrumentation, from spectrographs on major telescopes (e.g., KCWI and MUSE) to new, novel designs (e.g., the Mothra Telescope Array) are providing new observational windows into heretofore invisible portions of the baryon cycle --- a fundamental cycle driving and describing how baryons move throughout the universe and into and out of galaxies. This thesis presents the development and application of statistical techniques and novel instrumentation to infer the properties of galaxies and their place within the baryon cycle.
■590 ▼aSchool code: 0265.
■650 4▼aAstronomy
■650 4▼aAstrophysics
■650 4▼aStatistics
■653 ▼aBaryon cycle
■653 ▼aBayesian inference
■653 ▼aMothra Telescope Array
■690 ▼a0606
■690 ▼a0596
■690 ▼a0463
■71020▼aYale University▼bAstronomy.
■7730 ▼tDissertations Abstracts International▼g86-12B.
■790 ▼a0265
■791 ▼aPh.D.
■792 ▼a2025
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17356590▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
