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On the Interpretation of Core-Collapse Supernovae Light Curves and Development of Performance Portable Simulations
On the Interpretation of Core-Collapse Supernovae Light Curves and Development of Performance Portable Simulations
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20250211152023
- ISBN
- 9798383212288
- DDC
- 523
- 서명/저자
- On the Interpretation of Core-Collapse Supernovae Light Curves and Development of Performance Portable Simulations
- 발행사항
- [Sl] : Michigan State University, 2024
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2024
- 형태사항
- 274 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 86-01, Section: B.
- 주기사항
- Advisor: Couch, Sean.
- 학위논문주기
- Thesis (Ph.D.)--Michigan State University, 2024.
- 초록/해제
- 요약Core-collapse supernovae (CCSNe) are the tumultuous explosions that accompany the ends of lives of massive stars. After millions of years being seemingly idle, laboriously creating increasingly heavy elements, the star exhausts its fuel supply and, in an instant, is ripped apart. Their innards, consisting of millions of years of nucleosynthesis products, are spread throughout the interstellar medium as fertilizer for the next generation of stars. Left in their wake is a stellar mass compact object - a black hole or neutron star. CCSNe are vital to understanding our own origins. Our understanding of CCSNe is driven by the union of observation and theory. Computational models, constantly leveraging the most advanced supercomputers of the time, provide insights into the central engines powering CCSNe and connect to observations of CCSNe. Observations, providing a goal post and validation for computational models, require a theoretical framework to be interpreted. The work presented in this Dissertation seeks to provide novel approaches to interpreting CCSN observables and develops new computational models for studying the explosion mechanisms of CCSNe.I produce synthetic supernova light curves from high fidelity, neutrino-driven supernova models - the largest such study. Using these light curves, I demonstrate the improved ability of neutrino-driven models to constrain observations. I demonstrate how the imprint from the core structure of the star on the explosion can be seen in observed photometry. In followup work, I build on this and investigate the core structures of a population of observed supernovae. Using a novel Bayesian analysis, I use these inferences to constrain the mass distribution of the stellar population. To demonstrate the ineffectiveness of simplified models to constrain observations, I produce a grid of roughly 2000 light curves and demonstrate that, with these simplified models, the results are degenerate and ill-constraining.I also report on the development of several open source software projects to further investigate the CCSN explosion mechanism. First, I present the thornado hydrodynamics algorithms. thornadouses a novel high order discontinuous Galerkin approach to modeling the underlying partial differential equations and is posed to power the next generation of models. Next, I present Singularity-Eos, an open source microphysics library for fluid dynamics that is capable of leveraging modern heterogeneous hardware. Finally, I close with a description of Phoebus, a new simulation software for supernovae, compact object accretion, and mergers set to make use of exascale computing resources.
- 일반주제명
- Astrophysics
- 일반주제명
- Applied mathematics
- 일반주제명
- Astronomy
- 일반주제명
- Fluid mechanics
- 일반주제명
- Computational physics
- 키워드
- Hydrodynamics
- 키워드
- Simulation
- 키워드
- Light curves
- 기타저자
- Michigan State University Astrophysics and Astronomy - Doctor of Philosophy
- 기본자료저록
- Dissertations Abstracts International. 86-01B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■00520250211152023
■006m o d
■007cr#unu||||||||
■020 ▼a9798383212288
■035 ▼a(MiAaPQ)AAI31332619
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a523
■1001 ▼aBarker, Brandon Lynn.▼0(orcid)0000-0002-8825-0893
■24510▼aOn the Interpretation of Core-Collapse Supernovae Light Curves and Development of Performance Portable Simulations
■260 ▼a[Sl]▼bMichigan State University▼c2024
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2024
■300 ▼a274 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 86-01, Section: B.
■500 ▼aAdvisor: Couch, Sean.
■5021 ▼aThesis (Ph.D.)--Michigan State University, 2024.
■520 ▼aCore-collapse supernovae (CCSNe) are the tumultuous explosions that accompany the ends of lives of massive stars. After millions of years being seemingly idle, laboriously creating increasingly heavy elements, the star exhausts its fuel supply and, in an instant, is ripped apart. Their innards, consisting of millions of years of nucleosynthesis products, are spread throughout the interstellar medium as fertilizer for the next generation of stars. Left in their wake is a stellar mass compact object - a black hole or neutron star. CCSNe are vital to understanding our own origins. Our understanding of CCSNe is driven by the union of observation and theory. Computational models, constantly leveraging the most advanced supercomputers of the time, provide insights into the central engines powering CCSNe and connect to observations of CCSNe. Observations, providing a goal post and validation for computational models, require a theoretical framework to be interpreted. The work presented in this Dissertation seeks to provide novel approaches to interpreting CCSN observables and develops new computational models for studying the explosion mechanisms of CCSNe.I produce synthetic supernova light curves from high fidelity, neutrino-driven supernova models - the largest such study. Using these light curves, I demonstrate the improved ability of neutrino-driven models to constrain observations. I demonstrate how the imprint from the core structure of the star on the explosion can be seen in observed photometry. In followup work, I build on this and investigate the core structures of a population of observed supernovae. Using a novel Bayesian analysis, I use these inferences to constrain the mass distribution of the stellar population. To demonstrate the ineffectiveness of simplified models to constrain observations, I produce a grid of roughly 2000 light curves and demonstrate that, with these simplified models, the results are degenerate and ill-constraining.I also report on the development of several open source software projects to further investigate the CCSN explosion mechanism. First, I present the thornado hydrodynamics algorithms. thornadouses a novel high order discontinuous Galerkin approach to modeling the underlying partial differential equations and is posed to power the next generation of models. Next, I present Singularity-Eos, an open source microphysics library for fluid dynamics that is capable of leveraging modern heterogeneous hardware. Finally, I close with a description of Phoebus, a new simulation software for supernovae, compact object accretion, and mergers set to make use of exascale computing resources.
■590 ▼aSchool code: 0128.
■650 4▼aAstrophysics
■650 4▼aApplied mathematics
■650 4▼aAstronomy
■650 4▼aFluid mechanics
■650 4▼aComputational physics
■653 ▼aCore-collapse supernovae
■653 ▼aHydrodynamics
■653 ▼aNumerical methods
■653 ▼aSimulation
■653 ▼aLight curves
■690 ▼a0596
■690 ▼a0364
■690 ▼a0606
■690 ▼a0204
■690 ▼a0216
■71020▼aMichigan State University▼bAstrophysics and Astronomy - Doctor of Philosophy.
■7730 ▼tDissertations Abstracts International▼g86-01B.
■790 ▼a0128
■791 ▼aPh.D.
■792 ▼a2024
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17162532▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
