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Dark Matter Substructure in the Milky Way
Dark Matter Substructure in the Milky Way  / Hyunsu Kong
Dark Matter Substructure in the Milky Way

상세정보

자료유형  
 학위논문 서양
최종처리일시  
20260311091528.5
ISBN  
9798270231279
DDC  
523
저자명  
Kong, Hyunsu
서명/저자  
Dark Matter Substructure in the Milky Way / Hyunsu Kong
발행사항  
[Sl] : The University of Texas at Austin, 2025
형태사항  
1 electronic resource (109 pages)
주기사항  
Source: Dissertations Abstracts International, Volume: 87-06, Section: B.
주기사항  
Advisors: Kilic, Can; Boylan-Kolchin, Michael Committee members: Boddy, Kimberly; Bullock, James; Zimmerman, Aaron.
학위논문주기  
- Ph.D. : The University of Texas at Austin, 2025.
초록/해제  
요약The standard ΛCDM cosmological model predicts a wealth of small-scale structures, including dark matter subhalos residing within more massive halos such as that of our own Milky Way galaxy. While some of these subhalos may be massive enough to host faint galaxies, smaller ones fall below the threshold of galaxy formation and remain dark. Together, the abundance and survivability of both luminous and dark subhalos offer a powerful test of the ΛCDM paradigm on small scales.Recent observational advances have uncovered a growing population of faint satellite galaxies around the Milky Way, reigniting a longstanding tension. State-of-the-art simulations, when analyzed with conventional halo tracking tools, now predict a subhalo population that is again inconsistent with the observed MW satellite distribution - this time, predicting too few, especially in the inner regions of the host halo. Although several theoretical solutions have been proposed, including star formation in lower-mass halos, orphan galaxies, and modifications to dark matter physics, such investigations ultimately depend on the accuracy of the tools used to analyze the subhalo population in simulations.In this dissertation, I introduce Bloodhound, a next-generation algorithm designed to improve the accuracy and consistency of subhalo tracking in numerical simulations of galaxies. Unlike conventional pipelines that rely on separate merger tree builders to link halos identified by halo finders, Bloodhound traces subhalos over time by following particles directly, allowing it to maintain subhalo identity even in dense environments where standard methods tend to struggle. Using the Phat ELVIS suite of high-resolution Milky Way-mass halos, I demonstrate that Bloodhound recovers a more complete subhalo population and mitigates systematic artifacts that hinder accurate substructure analyses.Finally, I explore the scientific implications of these improvements for two key applications: predictions for the Milky Way's ultra-faint satellite galaxy population and the detectability of dark subhalos through gravitational perturbations they induce in Globular Cluster stellar streams. These results are especially timely given the observational breakthroughs expected from current and upcoming surveys with Euclid, JWST, Roman, and Rubin, which promise to probe the structure of the Universe on the smallest galactic scales.
언어주기  
English
일반주제명  
Astrophysics
일반주제명  
Astronomy
일반주제명  
Atmospheric sciences
키워드  
Dark matter
키워드  
Milky Way
키워드  
Subhalos
키워드  
Subhalo population
키워드  
Galaxy formation
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

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■24510▼aDark  Matter  Substructure  in  the  Milky  Way  ▼cHyunsu  Kong
■260    ▼a[Sl]▼bThe  University  of  Texas  at  Austin▼c2025
■264  1▼aAnn  Arbor▼bProQuest  Dissertations  &  Theses▼c2025
■300    ▼a1  electronic  resource  (109  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:  Kilic,  Can;  Boylan-Kolchin,  Michael    Committee  members:  Boddy,  Kimberly;  Bullock,  James;  Zimmerman,  Aaron.
■5021  ▼bPh.D.▼cThe  University  of  Texas  at  Austin▼d2025.
■520    ▼aThe  standard  ΛCDM  cosmological  model  predicts  a  wealth  of  small-scale  structures,  including  dark  matter  subhalos  residing  within  more  massive  halos  such  as  that  of  our  own  Milky  Way  galaxy.  While  some  of  these  subhalos  may  be  massive  enough  to  host  faint  galaxies,  smaller  ones  fall  below  the  threshold  of  galaxy  formation  and  remain  dark.  Together,  the  abundance  and  survivability  of  both  luminous  and  dark  subhalos  offer  a  powerful  test  of  the  ΛCDM  paradigm  on  small  scales.Recent  observational  advances  have  uncovered  a  growing  population  of  faint  satellite  galaxies  around  the  Milky  Way,  reigniting  a  longstanding  tension.  State-of-the-art  simulations,  when  analyzed  with  conventional  halo  tracking  tools,  now  predict  a  subhalo  population  that  is  again  inconsistent  with  the  observed  MW  satellite  distribution  -  this  time,  predicting  too  few,  especially  in  the  inner  regions  of  the  host  halo.  Although  several  theoretical  solutions  have  been  proposed,  including  star  formation  in  lower-mass  halos,  orphan  galaxies,  and  modifications  to  dark  matter  physics,  such  investigations  ultimately  depend  on  the  accuracy  of  the  tools  used  to  analyze  the  subhalo  population  in  simulations.In  this  dissertation,  I  introduce  Bloodhound,  a  next-generation  algorithm  designed  to  improve  the  accuracy  and  consistency  of  subhalo  tracking  in  numerical  simulations  of  galaxies.  Unlike  conventional  pipelines  that  rely  on  separate  merger  tree  builders  to  link  halos  identified  by  halo  finders,  Bloodhound  traces  subhalos  over  time  by  following  particles  directly,  allowing  it  to  maintain  subhalo  identity  even  in  dense  environments  where  standard  methods  tend  to  struggle.  Using  the  Phat  ELVIS  suite  of  high-resolution  Milky  Way-mass  halos,  I  demonstrate  that  Bloodhound  recovers  a  more  complete  subhalo  population  and  mitigates  systematic  artifacts  that  hinder  accurate  substructure  analyses.Finally,  I  explore  the  scientific  implications  of  these  improvements  for  two  key  applications:  predictions  for  the  Milky  Way's  ultra-faint  satellite  galaxy  population  and  the  detectability  of  dark  subhalos  through  gravitational  perturbations  they  induce  in  Globular  Cluster  stellar  streams.  These  results  are  especially  timely  given  the  observational  breakthroughs  expected  from  current  and  upcoming  surveys  with  Euclid,  JWST,  Roman,  and  Rubin,  which  promise  to  probe  the  structure  of  the  Universe  on  the  smallest  galactic  scales. 
■546    ▼aEnglish
■590    ▼aSchool  code:  0227
■650  4▼aAstrophysics
■650  4▼aAstronomy
■650  4▼aAtmospheric  sciences
■653    ▼aDark  matter
■653    ▼aMilky  Way
■653    ▼aSubhalos
■653    ▼aSubhalo  population
■653    ▼aGalaxy  formation
■7102  ▼aThe  University  of  Texas  at  Austin▼bPhysics.▼edegree  granting  institution.
■7201  ▼aKilic,  Can▼edegree  supervisor.
■7201  ▼aBoylan-Kolchin,  Michael▼edegree  supervisor.
■7730  ▼tDissertations  Abstracts  International▼g87-06B.
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17361181▼nKERIS▼z이  자료의  원문은  한국교육학술정보원에서  제공합니다.

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