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Producing a BOSS-CMASS Sample With DES Y3 Imaging
Producing a BOSS-CMASS Sample With DES Y3 Imaging
Producing a BOSS-CMASS Sample With DES Y3 Imaging

상세정보

자료유형  
 학위논문 서양
최종처리일시  
20250211153133
ISBN  
9798346853329
DDC  
520
저자명  
Warner, Beverly.
서명/저자  
Producing a BOSS-CMASS Sample With DES Y3 Imaging
발행사항  
[Sl] : The Ohio State University, 2024
발행사항  
Ann Arbor : ProQuest Dissertations & Theses, 2024
형태사항  
147 p
주기사항  
Source: Dissertations Abstracts International, Volume: 86-06, Section: B.
주기사항  
Advisor: Honscheid, Klaus.
학위논문주기  
Thesis (Ph.D.)--The Ohio State University, 2024.
초록/해제  
요약Understanding the ingredients and evolution of the universe can be attained through observing Large Scale Structure (LSS). An accurate three-dimensional map of the universe is an essential tool to characterize this Large Scale Structure. This is found by combining two-dimensional coordinates with redshift measurements, which provide information about the distance to galaxies along the line of sight. Spectroscopic measurements result in higher precision redshift estimates, however they are much more expensive in observation time compared to photometric measurements. This leads to a trade-off between accuracy and quantity of galaxy information. My research addresses this imbalance by training a model on galaxies with both photometric and spectroscopic data, namely the footprint overlap of DES with the BOSS-CMASS sample, allowing it to statistically select a galaxy sample over the non-overlapping region of the Y3 DES sample comprised of similar galaxies. The resulting sample, DES-CMASS or DMASS, has the same clustering properties as the spectroscopic CMASS sample so that precision cosmological measurements obtained from CMASS can be applied to the photometric DES sample. In a previous analysis, validation tests demonstrated that this DMASS method produced a galaxy sample with properties consistent with BOSS-CMASS data using the much smaller Y1 DES sample. My project broadens the scope to photometric data covering an area four times larger. This thesis describes the underlying methods and the validation tests designed to assess how accurately the larger Y3 DMASS catalog reproduces key properties of the BOSS-CMASS sample, such as galaxy density and redshift. We demonstrate that the galaxy bias of the DMASS Y3 sample matches that of BOSS-CMASS. Our results show that we can utilize the limited overlaps between other spectroscopic and photometric samples to create similar catalogs of combined strengths to use in cosmological analyses.
일반주제명  
Astronomy
일반주제명  
Physics
일반주제명  
Astrophysics
키워드  
Large Scale Structure
키워드  
Spectroscopic data
키워드  
Galaxies
키워드  
Photometric data
기타저자  
The Ohio State University Physics
기본자료저록  
Dissertations Abstracts International. 86-06B.
전자적 위치 및 접속  
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MARC

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■020    ▼a9798346853329
■035    ▼a(MiAaPQ)AAI31836989
■035    ▼a(MiAaPQ)OhioLINKosu1732714445117534
■040    ▼aMiAaPQ▼cMiAaPQ
■0820  ▼a520
■1001  ▼aWarner,  Beverly.
■24510▼aProducing  a  BOSS-CMASS  Sample  With  DES  Y3  Imaging
■260    ▼a[Sl]▼bThe  Ohio  State  University▼c2024
■260  1▼aAnn  Arbor▼bProQuest  Dissertations  &  Theses▼c2024
■300    ▼a147  p
■500    ▼aSource:  Dissertations  Abstracts  International,  Volume:  86-06,  Section:  B.
■500    ▼aAdvisor:  Honscheid,  Klaus.
■5021  ▼aThesis  (Ph.D.)--The  Ohio  State  University,  2024.
■520    ▼aUnderstanding  the  ingredients  and  evolution  of  the  universe  can  be  attained  through  observing  Large  Scale  Structure  (LSS).  An  accurate  three-dimensional  map  of  the  universe  is  an  essential  tool  to  characterize  this  Large  Scale  Structure.  This  is  found  by  combining  two-dimensional  coordinates  with  redshift  measurements,  which  provide  information  about  the  distance  to  galaxies  along  the  line  of  sight.  Spectroscopic  measurements  result  in  higher  precision  redshift  estimates,  however  they  are  much  more  expensive  in  observation  time  compared  to  photometric  measurements.  This  leads  to  a  trade-off  between  accuracy  and  quantity  of  galaxy  information.  My  research  addresses  this  imbalance  by  training  a  model  on  galaxies  with  both  photometric  and  spectroscopic  data,  namely  the  footprint  overlap  of  DES  with  the  BOSS-CMASS  sample,  allowing  it  to  statistically  select  a  galaxy  sample  over  the  non-overlapping  region  of  the  Y3  DES  sample  comprised  of  similar  galaxies.  The  resulting  sample,  DES-CMASS  or  DMASS,  has  the  same  clustering  properties  as  the  spectroscopic  CMASS  sample  so  that  precision  cosmological  measurements  obtained  from  CMASS  can  be  applied  to  the  photometric  DES  sample.  In  a  previous  analysis,  validation  tests  demonstrated  that  this  DMASS  method  produced  a  galaxy  sample  with  properties  consistent  with  BOSS-CMASS  data  using  the  much  smaller  Y1  DES  sample.  My  project  broadens  the  scope  to  photometric  data  covering  an  area  four  times  larger.  This  thesis  describes  the  underlying  methods  and  the  validation  tests  designed  to  assess  how  accurately  the  larger  Y3  DMASS  catalog  reproduces  key  properties  of  the  BOSS-CMASS  sample,  such  as  galaxy  density  and  redshift.  We    demonstrate  that  the  galaxy  bias  of  the  DMASS  Y3  sample  matches  that  of  BOSS-CMASS.  Our  results  show  that  we  can  utilize  the  limited  overlaps  between  other  spectroscopic  and  photometric  samples  to  create  similar  catalogs  of  combined  strengths  to  use  in  cosmological  analyses.
■590    ▼aSchool  code:  0168.
■650  4▼aAstronomy
■650  4▼aPhysics
■650  4▼aAstrophysics
■653    ▼aLarge  Scale  Structure
■653    ▼aSpectroscopic  data
■653    ▼aGalaxies
■653    ▼aPhotometric  data
■690    ▼a0606
■690    ▼a0605
■690    ▼a0596
■71020▼aThe  Ohio  State  University▼bPhysics.
■7730  ▼tDissertations  Abstracts  International▼g86-06B.
■790    ▼a0168
■791    ▼aPh.D.
■792    ▼a2024
■793    ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17165179▼nKERIS▼z이  자료의  원문은  한국교육학술정보원에서  제공합니다.

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