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Robust Gravitational Wave Analysis at the Catalog Scale
Robust Gravitational Wave Analysis at the Catalog Scale
Robust Gravitational Wave Analysis at the Catalog Scale

상세정보

자료유형  
 학위논문 서양
최종처리일시  
20260202104754
ISBN  
9798290651811
DDC  
001
저자명  
Udall, Rhiannon Pollard.
서명/저자  
Robust Gravitational Wave Analysis at the Catalog Scale
발행사항  
[Sl] : California Institute of Technology, 2025
발행사항  
Ann Arbor : ProQuest Dissertations & Theses, 2025
형태사항  
184 p
주기사항  
Source: Dissertations Abstracts International, Volume: 87-01, Section: B.
주기사항  
Advisor: Weinstein, Alan Jay.
학위논문주기  
Thesis (Ph.D.)--California Institute of Technology, 2025.
초록/해제  
요약The rapid improvement in the sensitivity of ground based gravitational wave detectors has produced a huge variety of technical insights, but has also brought new challenges in gravitational wave data analysis. In this dissertation I address two of those challenges: the rapid increase in the number of detected events, and the need for robust astrophysical inferences in the presence of transient detector glitches. To manage the number of gravitational wave transients now regularly detected, I developed infrastructure for the LIGO-Virgo-KAGRA collaboration which monitors and collates the results of many disparate analyses in order to produce the final transient catalog. I implemented physically informed models for scattered light glitches into standard parameter estimation tools, and so that the potential realizations of these glitches can be marginalized over when performing astrophysical inference. This method was used to better understand GW191109, an event from the third observing run with potentially dynamical formation history. These tools were also applied to better understand the behavior of parameter estimation in the presence of glitches, and to search for statistical tests which can identify if parameter estimation is biased by the presence of a glitch.
일반주제명  
Software
일반주제명  
Astrophysics
일반주제명  
Gravitational waves
일반주제명  
Theory of relativity
일반주제명  
Visualization
일반주제명  
Parameter estimation
기타저자  
California Institute of Technology Physics Mathematics and Astronomy
기본자료저록  
Dissertations Abstracts International. 87-01B.
전자적 위치 및 접속  
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MARC

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■1001  ▼aUdall,  Rhiannon  Pollard.
■24510▼aRobust  Gravitational  Wave  Analysis  at  the  Catalog  Scale
■260    ▼a[Sl]▼bCalifornia  Institute  of  Technology▼c2025
■260  1▼aAnn  Arbor▼bProQuest  Dissertations  &  Theses▼c2025
■300    ▼a184  p
■500    ▼aSource:  Dissertations  Abstracts  International,  Volume:  87-01,  Section:  B.
■500    ▼aAdvisor:  Weinstein,  Alan  Jay.
■5021  ▼aThesis  (Ph.D.)--California  Institute  of  Technology,  2025.
■520    ▼aThe  rapid  improvement  in  the  sensitivity  of  ground  based  gravitational  wave  detectors  has  produced  a  huge  variety  of  technical  insights,  but  has  also  brought  new  challenges  in  gravitational  wave  data  analysis.  In  this  dissertation  I  address  two  of  those  challenges:  the  rapid  increase  in  the  number  of  detected  events,  and  the  need  for  robust  astrophysical  inferences  in  the  presence  of  transient  detector  glitches.  To  manage  the  number  of  gravitational  wave  transients  now  regularly  detected,  I  developed  infrastructure  for  the  LIGO-Virgo-KAGRA  collaboration  which  monitors  and  collates  the  results  of  many  disparate  analyses  in  order  to  produce  the  final  transient  catalog.  I  implemented  physically  informed  models  for  scattered  light  glitches  into  standard  parameter  estimation  tools,  and  so  that  the  potential  realizations  of  these  glitches  can  be  marginalized  over  when  performing  astrophysical  inference.  This  method  was  used  to  better  understand  GW191109,  an  event  from  the  third  observing  run  with  potentially  dynamical  formation  history.  These  tools  were  also  applied  to  better  understand  the  behavior  of  parameter  estimation  in  the  presence  of  glitches,  and  to  search  for  statistical  tests  which  can  identify  if  parameter  estimation  is  biased  by  the  presence  of  a  glitch.
■590    ▼aSchool  code:  0037.
■650  4▼aSoftware
■650  4▼aAstrophysics
■650  4▼aGravitational  waves
■650  4▼aTheory  of  relativity
■650  4▼aVisualization
■650  4▼aParameter  estimation
■690    ▼a0596
■71020▼aCalifornia  Institute  of  Technology▼bPhysics,  Mathematics  and  Astronomy.
■7730  ▼tDissertations  Abstracts  International▼g87-01B.
■790    ▼a0037
■791    ▼aPh.D.
■792    ▼a2025
■793    ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17358802▼nKERIS▼z이  자료의  원문은  한국교육학술정보원에서  제공합니다.

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