본문

서브메뉴

Analysis of Detector Systematic Uncertainties Using Atmospheric Neutrinos in a Novel Markov Chain Monte Carlo Framework for T2K Data Runs 1-11
Analysis of Detector Systematic Uncertainties Using Atmospheric Neutrinos in a Novel Marko...
Analysis of Detector Systematic Uncertainties Using Atmospheric Neutrinos in a Novel Markov Chain Monte Carlo Framework for T2K Data Runs 1-11

상세정보

자료유형  
 학위논문 서양
최종처리일시  
20260202103126
ISBN  
9798315729167
DDC  
593.7
저자명  
Reh, Michael John.
서명/저자  
Analysis of Detector Systematic Uncertainties Using Atmospheric Neutrinos in a Novel Markov Chain Monte Carlo Framework for T2K Data Runs 1-11
발행사항  
[Sl] : University of Colorado at Boulder, 2025
발행사항  
Ann Arbor : ProQuest Dissertations & Theses, 2025
형태사항  
263 p
주기사항  
Source: Dissertations Abstracts International, Volume: 86-11, Section: B.
주기사항  
Advisor: Zimmerman, Eric D.
학위논문주기  
Thesis (Ph.D.)--University of Colorado at Boulder, 2025.
초록/해제  
요약This thesis describes the estimation of systematic uncertainties related to the detector reconstruction for the T2K far detector (Super-Kamiokande; SK) and their impact on the T2K neutrino oscillation analysis. Vast improvements have been made in the model parametrization, including the addition of systematic uncertainties related to new T2K analysis samples that have never been utilized before. A novel Markov Chain Monte Carlo (MCMC) tuning approach was used to estimate the new SK detector systematic uncertainties using SK atmospheric neutrino data as control samples. The new tuning approach led to a ∼ 5x MCMC sampling efficiency improvement over the previous analysis. The new estimation shows markedly lower systematic uncertainties in nearly every capacity compared to the previous analysis, and is planned to be used for the next measurement of the neutrino oscillation parameters by the T2K experiment, marginally increasing the sensitivity to θ23, θ13, ∆m232 and δCP.
일반주제명  
Particle physics
일반주제명  
Statistical physics
일반주제명  
Applied mathematics
일반주제명  
Computational physics
키워드  
T2K analysis
키워드  
Bayesian statistics
키워드  
Neutrino
키워드  
Oscillation
키워드  
T2K
기타저자  
University of Colorado at Boulder Physics
기본자료저록  
Dissertations Abstracts International. 86-11B.
전자적 위치 및 접속  
로그인 후 원문을 볼 수 있습니다.

MARC

 008260126s2025        us                              c    eng  d
■001000017357070
■00520260202103126
■006m          o    d                
■007cr#unu||||||||
■020    ▼a9798315729167
■035    ▼a(MiAaPQ)AAI31938822
■040    ▼aMiAaPQ▼cMiAaPQ
■0820  ▼a593.7
■1001  ▼aReh,  Michael  John.▼0(orcid)0009-0002-4557-1299
■24510▼aAnalysis  of  Detector  Systematic  Uncertainties  Using  Atmospheric  Neutrinos  in  a  Novel  Markov  Chain  Monte  Carlo  Framework  for  T2K  Data  Runs  1-11
■260    ▼a[Sl]▼bUniversity  of  Colorado  at  Boulder▼c2025
■260  1▼aAnn  Arbor▼bProQuest  Dissertations  &  Theses▼c2025
■300    ▼a263  p
■500    ▼aSource:  Dissertations  Abstracts  International,  Volume:  86-11,  Section:  B.
■500    ▼aAdvisor:  Zimmerman,  Eric  D.
■5021  ▼aThesis  (Ph.D.)--University  of  Colorado  at  Boulder,  2025.
■520    ▼aThis  thesis  describes  the  estimation  of  systematic  uncertainties  related  to  the  detector  reconstruction  for  the  T2K  far  detector  (Super-Kamiokande;  SK)  and  their  impact  on  the  T2K  neutrino  oscillation  analysis.  Vast  improvements  have  been  made  in  the  model  parametrization,  including  the  addition  of  systematic  uncertainties  related  to  new  T2K  analysis  samples  that  have  never  been  utilized  before.  A  novel  Markov  Chain  Monte  Carlo  (MCMC)  tuning  approach  was  used  to  estimate  the  new  SK  detector  systematic  uncertainties  using  SK  atmospheric  neutrino  data  as  control  samples.  The  new  tuning  approach  led  to  a  ∼  5x  MCMC  sampling  efficiency  improvement  over  the  previous  analysis.  The  new  estimation  shows  markedly  lower  systematic  uncertainties  in  nearly  every  capacity  compared  to  the  previous  analysis,  and  is  planned  to  be  used  for  the  next  measurement  of  the  neutrino  oscillation  parameters  by  the  T2K  experiment,  marginally  increasing  the  sensitivity  to  θ23,  θ13,  ∆m232  and  δCP.
■590    ▼aSchool  code:  0051.
■650  4▼aParticle  physics
■650  4▼aStatistical  physics
■650  4▼aApplied  mathematics
■650  4▼aComputational  physics
■653    ▼aT2K  analysis
■653    ▼aBayesian  statistics
■653    ▼aNeutrino
■653    ▼aOscillation
■653    ▼aT2K  
■690    ▼a0798
■690    ▼a0217
■690    ▼a0216
■690    ▼a0364
■71020▼aUniversity  of  Colorado  at  Boulder▼bPhysics.
■7730  ▼tDissertations  Abstracts  International▼g86-11B.
■790    ▼a0051
■791    ▼aPh.D.
■792    ▼a2025
■793    ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17357070▼nKERIS▼z이  자료의  원문은  한국교육학술정보원에서  제공합니다.

미리보기

내보내기

chatGPT토론

Ai 추천 관련 도서


    신착도서 더보기
    최근 3년간 통계입니다.

    소장정보

    • 예약
    • 소재불명신고
    • 나의폴더
    • 우선정리요청
    • 비도서대출신청
    • 야간 도서대출신청
    소장자료
    등록번호 청구기호 소장처 대출가능여부 대출정보
    TF19174 전자도서 대출가능 마이폴더 부재도서신고 비도서대출신청 야간 도서대출신청

    * 대출중인 자료에 한하여 예약이 가능합니다. 예약을 원하시면 예약버튼을 클릭하십시오.

    해당 도서를 다른 이용자가 함께 대출한 도서

    관련 인기도서

    로그인 후 이용 가능합니다.