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New Tools for Old Problems: Re-Examining the Role of Binary Interaction in Shaping Stellar Evolution
New Tools for Old Problems: Re-Examining the Role of Binary Interaction in Shaping Stellar...
New Tools for Old Problems: Re-Examining the Role of Binary Interaction in Shaping Stellar Evolution

Detailed Information

자료유형  
 학위논문 서양
최종처리일시  
20250211153112
ISBN  
9798384461821
DDC  
520
저자명  
Patton, Rachel Arielle.
서명/저자  
New Tools for Old Problems: Re-Examining the Role of Binary Interaction in Shaping Stellar Evolution
발행사항  
[Sl] : The Ohio State University, 2024
발행사항  
Ann Arbor : ProQuest Dissertations & Theses, 2024
형태사항  
230 p
주기사항  
Source: Dissertations Abstracts International, Volume: 86-04, Section: B.
주기사항  
Advisor: Pinsonneault, Marc.
학위논문주기  
Thesis (Ph.D.)--The Ohio State University, 2024.
초록/해제  
요약The lives, deaths, and afterlives of stars play a fundamental role in astrophysics. From planet formation and feedback in star-forming regions to galactic chemical evolution and gravitational wave progenitors, understanding stellar evolution is essential to understanding the observable Universe. A critical, but still very poorly understood, aspect of this topic is the impact of binarity on stellar evolution. While single stars follow evolutionary tracks set by their initial mass and metallicity, stars which interact with a binary stellar companion will have both their internal structures and global properties altered in ways unattainable through single star evolution. Unfortunately, the physics governing these interactions remains highly uncertain. However, we are uniquely poised to understand binary interaction and its impact on stellar evolution by combining recent advances in both observation and computation.Astronomy has entered an era of large surveys. The Gaia space telescope is collecting photometry, astrometry, and parallaxes for billions of stars. The Apache Point Observatory Galactic Evolution Experiment (APOGEE) as part of the Sloan Digital Sky Survey (SDSS) has collected spectroscopy for hundreds of thousands of stars. We also have long-baseline, time-series photometry for stars from Kepler and the Transiting Exoplanet Survey Satellite (TESS). On the computational front, advances in computing power have enabled us to run large grids of 1D stellar evolution models relatively cheaply. There are also a preponderance of 1D stellar evolution codes utilizing different numerical methods and imbued with different assumptions. These models and codes allow us to test individual physical assumptions and see how the evolution is changed.In my work, I leverage 1D stellar evolution models with stellar parameters from large surveys to study the effects of different types of interactions on the structure and evolution of stars of different masses. I first present an observational study of rotationally enhanced red giants, found via exploiting failure modes of APOGEE's spectroscopic processing pipeline. I identified a large population of interacting and post-interaction giants as well as a population of apparently single rotationally enhanced giants. I found two new failure modes of of the APOGEE pipeline as well.In the latter part of my dissertation I describe three modelling studies, examining the structural impacts of different interactions on massive stars due to the relationship between massive star structure and the ability to explode. I first present a grid of carbon-oxygen (CO) core models evolved from carbon ignition to core-collapse in order to fill in the late-stage evolution overlooked in binary population synthesis (BPS) codes. I reveal a complex landscape of final structures and present a prescription for use in BPS codes to predict explosion outcome based on the final structure of the core. I then apply this prescription to single and binary models from BPASS, and show how the structure-based prescription produces different neutron star and black hole mass distributions than the prescription based on CO-core mass commonly employed in BPS codes. Lastly, I present an ongoing study examining one particular interaction, an early case B merger, looking at long-term structural changes caused by merging as well as the differences by creating the merger product in two different ways.
일반주제명  
Astronomy
일반주제명  
Nuclear physics
일반주제명  
Astrophysics
일반주제명  
Computational physics
키워드  
Binary interaction
키워드  
Stellar evolution
키워드  
Binary population synthesis
키워드  
Carbon-oxygen core models
키워드  
Spectroscopic identification
기타저자  
The Ohio State University Astronomy
기본자료저록  
Dissertations Abstracts International. 86-04B.
전자적 위치 및 접속  
로그인 후 원문을 볼 수 있습니다.

MARC

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■035    ▼a(MiAaPQ)AAI31693839
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■040    ▼aMiAaPQ▼cMiAaPQ
■0820  ▼a520
■1001  ▼aPatton,  Rachel  Arielle.
■24510▼aNew  Tools  for  Old  Problems:  Re-Examining  the  Role  of  Binary  Interaction  in  Shaping  Stellar  Evolution
■260    ▼a[Sl]▼bThe  Ohio  State  University▼c2024
■260  1▼aAnn  Arbor▼bProQuest  Dissertations  &  Theses▼c2024
■300    ▼a230  p
■500    ▼aSource:  Dissertations  Abstracts  International,  Volume:  86-04,  Section:  B.
■500    ▼aAdvisor:  Pinsonneault,  Marc.
■5021  ▼aThesis  (Ph.D.)--The  Ohio  State  University,  2024.
■520    ▼aThe  lives,  deaths,  and  afterlives  of  stars  play  a  fundamental  role  in  astrophysics.  From  planet  formation  and  feedback  in  star-forming  regions  to  galactic  chemical  evolution  and  gravitational  wave  progenitors,  understanding  stellar  evolution  is  essential  to  understanding  the  observable  Universe.  A  critical,  but  still  very  poorly  understood,  aspect  of  this  topic  is  the  impact  of  binarity  on  stellar  evolution.  While  single  stars  follow  evolutionary  tracks  set  by  their  initial  mass  and  metallicity,  stars  which  interact  with  a  binary  stellar  companion  will  have  both  their  internal  structures  and  global  properties  altered  in  ways  unattainable  through  single  star  evolution.  Unfortunately,  the  physics  governing  these  interactions  remains  highly  uncertain.  However,  we  are  uniquely  poised  to  understand  binary  interaction  and  its  impact  on  stellar  evolution  by  combining  recent  advances  in  both  observation  and  computation.Astronomy  has  entered  an  era  of  large  surveys.  The  Gaia  space  telescope  is  collecting  photometry,  astrometry,  and  parallaxes  for  billions  of  stars.  The  Apache  Point  Observatory  Galactic  Evolution  Experiment  (APOGEE)  as  part  of  the  Sloan  Digital  Sky  Survey  (SDSS)  has  collected  spectroscopy  for  hundreds  of  thousands  of  stars.  We  also  have  long-baseline,  time-series  photometry  for  stars  from  Kepler  and  the  Transiting  Exoplanet  Survey  Satellite  (TESS).  On  the  computational  front,  advances  in  computing  power  have  enabled  us  to  run  large  grids  of  1D  stellar  evolution  models  relatively  cheaply.  There  are  also  a  preponderance  of  1D  stellar  evolution  codes  utilizing  different  numerical  methods  and  imbued  with  different  assumptions.  These  models  and  codes  allow  us  to  test  individual  physical  assumptions  and  see  how  the  evolution  is  changed.In  my  work,  I  leverage  1D  stellar  evolution  models  with  stellar  parameters  from  large  surveys  to  study  the  effects  of  different  types  of  interactions  on  the  structure  and  evolution  of  stars  of  different  masses.  I  first  present  an  observational  study  of  rotationally  enhanced  red  giants,  found  via  exploiting  failure  modes  of  APOGEE's  spectroscopic  processing  pipeline.  I  identified  a  large  population  of  interacting  and  post-interaction  giants  as  well  as  a  population  of  apparently  single  rotationally  enhanced  giants.  I  found  two  new  failure  modes  of  of  the  APOGEE  pipeline  as  well.In  the  latter  part  of  my  dissertation  I  describe  three  modelling  studies,  examining  the  structural  impacts  of  different  interactions  on  massive  stars  due  to  the  relationship  between  massive  star  structure  and  the  ability  to  explode.  I  first  present  a  grid  of  carbon-oxygen  (CO)  core  models  evolved  from  carbon  ignition  to  core-collapse  in  order  to  fill  in  the  late-stage  evolution  overlooked  in  binary  population  synthesis  (BPS)  codes.  I  reveal  a  complex  landscape  of  final  structures  and  present  a  prescription  for  use  in  BPS  codes  to  predict  explosion  outcome  based  on  the  final  structure  of  the  core.  I  then  apply  this  prescription  to  single  and  binary  models  from  BPASS,  and  show  how  the  structure-based  prescription  produces  different  neutron  star  and  black  hole  mass  distributions  than  the  prescription  based  on  CO-core  mass  commonly  employed  in  BPS  codes.  Lastly,  I  present  an  ongoing  study  examining  one  particular  interaction,  an  early  case  B  merger,  looking  at  long-term  structural  changes  caused  by  merging  as  well  as  the  differences  by  creating  the  merger  product  in  two  different  ways.
■590    ▼aSchool  code:  0168.
■650  4▼aAstronomy
■650  4▼aNuclear  physics
■650  4▼aAstrophysics
■650  4▼aComputational  physics
■653    ▼aBinary  interaction
■653    ▼aStellar  evolution
■653    ▼aBinary  population  synthesis
■653    ▼aCarbon-oxygen  core  models
■653    ▼aSpectroscopic  identification
■690    ▼a0606
■690    ▼a0596
■690    ▼a0756
■690    ▼a0216
■71020▼aThe  Ohio  State  University▼bAstronomy.
■7730  ▼tDissertations  Abstracts  International▼g86-04B.
■790    ▼a0168
■791    ▼aPh.D.
■792    ▼a2024
■793    ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17165005▼nKERIS▼z이  자료의  원문은  한국교육학술정보원에서  제공합니다.

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