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Examining Correlations Between Planetary and Stellar Properties Using a Bayesian Framework- [electronic resource]
Examining Correlations Between Planetary and Stellar Properties Using a Bayesian Framework...
Examining Correlations Between Planetary and Stellar Properties Using a Bayesian Framework- [electronic resource]

상세정보

자료유형  
 학위논문파일 국외
최종처리일시  
20240214101929
ISBN  
9798380724739
DDC  
530
저자명  
Safsten, Emily.
서명/저자  
Examining Correlations Between Planetary and Stellar Properties Using a Bayesian Framework - [electronic resource]
발행사항  
[S.l.]: : The Pennsylvania State University., 2023
발행사항  
Ann Arbor : : ProQuest Dissertations & Theses,, 2023
형태사항  
1 online resource(163 p.)
주기사항  
Source: Dissertations Abstracts International, Volume: 85-05, Section: B.
주기사항  
Advisor: Dawson, Rebekah.
학위논문주기  
Thesis (Ph.D.)--The Pennsylvania State University, 2023.
사용제한주기  
This item must not be sold to any third party vendors.
초록/해제  
요약The thousands of exoplanets discovered to date have revealed a variety of worlds and orbital architectures. Observed correlations of planetary properties with other stellar or planetary parameters can offer clues about planets' origins and evolution. However, it can be difficult to distinguish the true underlying cause of an observed trend because stellar parameters are often interrelated. In particular, it is often unknown whether a planetary property is due to the age of the system - meaning it evolves over time - or other parameters that may be related to the age - meaning it is determined by formation conditions. Additionally, small sample sizes and large measurement uncertainties can cast doubt on whether a supposed trend actually exists.To address this problem, we develop a Bayesian statistical framework that uses odds ratios to compare hypotheses for the source of an observed trend of a planetary property. We define three types of hypotheses: Nurture, in which the property is due to the system age; Nature, in which the property is due to some other observed system parameter; and Chance, in which the property is unrelated to any observed parameters. We apply this framework to the proposed age trends of 2:1 orbital resonances, stellar obliquities of hot Jupiter hosts, and eccentricities of hot Jupiters. We find that stellar obliquities of stars with hot Jupiters are most likely driven by stellar temperature, not age. We find that the data very strongly support a trend of hot Jupiter orbital eccentricities due to stellar age over a trend due to semimajor axis. We do not find enough evidence to support that 2:1 orbital resonances are disrupted over time.We next examine the impact on our results of formally incorporating measurement uncertainties. In each case we analyze, while uncertainties do affect the numerical value of the odds ratio, our overall conclusions remain the same. We also use updated samples for the 2:1 resonances and stellar obliquities cases and again find our conclusions unchanged. Through simulated 2:1 resonance data, we show that sample size may be more important than measurement precision for drawing a firm conclusion in this case.Finally, we apply our framework to the small planet radius valley. The most favored theories for the formation of the valley are core-powered mass loss and photoevaporation. We compare these hypotheses using the data from the California-Kepler Survey (CKS) and data from the Gaia-Kepler-TESS-Host Stellar Properties (GKTH) catalog. The results from the CKS data depend on the assumptions regarding core mass and initial atmospheric mass fraction, but strongly favor core-powered mass loss when we follow the respective prescriptions from studies on each process. The GKTH data strongly support core-powered mass loss regardless of these assumptions. We do see a dependence of our results on period and stellar temperature, which we will investigate further in the future. 
일반주제명  
Histograms.
일반주제명  
Orbits.
일반주제명  
Statistical physics.
일반주제명  
Astrophysics.
일반주제명  
Applied mathematics.
일반주제명  
Astronomy.
일반주제명  
Computational physics.
키워드  
Jupiters
키워드  
Orbital architectures
키워드  
Planetary parameters
키워드  
Photoevaporation
키워드  
California-Kepler Survey
기타저자  
The Pennsylvania State University.
기본자료저록  
Dissertations Abstracts International. 85-05B.
기본자료저록  
Dissertation Abstract International
전자적 위치 및 접속  
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MARC

 008240612s2023      us  |||||||||||||||c||eng  d
■001000016935414
■00520240214101929
■006m          o    d                
■007cr#unu||||||||
■020    ▼a9798380724739
■035    ▼a(MiAaPQ)AAI30720631
■035    ▼a(MiAaPQ)PennState_22899eds36
■040    ▼aMiAaPQ▼cMiAaPQ
■0820  ▼a530
■1001  ▼aSafsten,  Emily.
■24510▼aExamining  Correlations  Between  Planetary  and  Stellar  Properties  Using  a  Bayesian  Framework▼h[electronic  resource]
■260    ▼a[S.l.]:▼bThe  Pennsylvania  State  University.  ▼c2023
■260  1▼aAnn  Arbor  :▼bProQuest  Dissertations  &  Theses,  ▼c2023
■300    ▼a1  online  resource(163  p.)
■500    ▼aSource:  Dissertations  Abstracts  International,  Volume:  85-05,  Section:  B.
■500    ▼aAdvisor:  Dawson,  Rebekah.
■5021  ▼aThesis  (Ph.D.)--The  Pennsylvania  State  University,  2023.
■506    ▼aThis  item  must  not  be  sold  to  any  third  party  vendors.
■520    ▼aThe  thousands  of  exoplanets  discovered  to  date  have  revealed  a  variety  of  worlds  and  orbital  architectures.  Observed  correlations  of  planetary  properties  with  other  stellar  or  planetary  parameters  can  offer  clues  about  planets'  origins  and  evolution.  However,  it  can  be  difficult  to  distinguish  the  true  underlying  cause  of  an  observed  trend  because  stellar  parameters  are  often  interrelated.  In  particular,  it  is  often  unknown  whether  a  planetary  property  is  due  to  the  age  of  the  system  -  meaning  it  evolves  over  time  -  or  other  parameters  that  may  be  related  to  the  age  -  meaning  it  is  determined  by  formation  conditions.  Additionally,  small  sample  sizes  and  large  measurement  uncertainties  can  cast  doubt  on  whether  a  supposed  trend  actually  exists.To  address  this  problem,  we  develop  a  Bayesian  statistical  framework  that  uses  odds  ratios  to  compare  hypotheses  for  the  source  of  an  observed  trend  of  a  planetary  property.  We  define  three  types  of  hypotheses:  Nurture,  in  which  the  property  is  due  to  the  system  age;  Nature,  in  which  the  property  is  due  to  some  other  observed  system  parameter;  and  Chance,  in  which  the  property  is  unrelated  to  any  observed  parameters.  We  apply  this  framework  to  the  proposed  age  trends  of  2:1  orbital  resonances,  stellar  obliquities  of  hot  Jupiter  hosts,  and  eccentricities  of  hot  Jupiters.  We  find  that  stellar  obliquities  of  stars  with  hot  Jupiters  are  most  likely  driven  by  stellar  temperature,  not  age.  We  find  that  the  data  very  strongly  support  a  trend  of  hot  Jupiter  orbital  eccentricities  due  to  stellar  age  over  a  trend  due  to  semimajor  axis.  We  do  not  find  enough  evidence  to  support  that  2:1  orbital  resonances  are  disrupted  over  time.We  next  examine  the  impact  on  our  results  of  formally  incorporating  measurement  uncertainties.  In  each  case  we  analyze,  while  uncertainties  do  affect  the  numerical  value  of  the  odds  ratio,  our  overall  conclusions  remain  the  same.  We  also  use  updated  samples  for  the  2:1  resonances  and  stellar  obliquities  cases  and  again  find  our  conclusions  unchanged.  Through  simulated  2:1  resonance  data,  we  show  that  sample  size  may  be  more  important  than  measurement  precision  for  drawing  a  firm  conclusion  in  this  case.Finally,  we  apply  our  framework  to  the  small  planet  radius  valley.  The  most  favored  theories  for  the  formation  of  the  valley  are  core-powered  mass  loss  and  photoevaporation.  We  compare  these  hypotheses  using  the  data  from  the  California-Kepler  Survey  (CKS)  and  data  from  the  Gaia-Kepler-TESS-Host  Stellar  Properties  (GKTH)  catalog.  The  results  from  the  CKS  data  depend  on  the  assumptions  regarding  core  mass  and  initial  atmospheric  mass  fraction,  but  strongly  favor  core-powered  mass  loss  when  we  follow  the  respective  prescriptions  from  studies  on  each  process.  The  GKTH  data  strongly  support  core-powered  mass  loss  regardless  of  these  assumptions.  We  do  see  a  dependence  of  our  results  on  period  and  stellar  temperature,  which  we  will  investigate  further  in  the  future. 
■590    ▼aSchool  code:  0176.
■650  4▼aHistograms.
■650  4▼aOrbits.
■650  4▼aStatistical  physics.
■650  4▼aAstrophysics.
■650  4▼aApplied  mathematics.
■650  4▼aAstronomy.
■650  4▼aComputational  physics.
■653    ▼aJupiters  
■653    ▼aOrbital  architectures
■653    ▼aPlanetary  parameters
■653    ▼aPhotoevaporation
■653    ▼aCalifornia-Kepler  Survey
■690    ▼a0596
■690    ▼a0217
■690    ▼a0216
■690    ▼a0606
■690    ▼a0364
■71020▼aThe  Pennsylvania  State  University.
■7730  ▼tDissertations  Abstracts  International▼g85-05B.
■773    ▼tDissertation  Abstract  International
■790    ▼a0176
■791    ▼aPh.D.
■792    ▼a2023
■793    ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16935414▼nKERIS▼z이  자료의  원문은  한국교육학술정보원에서  제공합니다.
■980    ▼a202402▼f2024

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