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Probing Undiscovered Particles With Theory and Data-Driven Tools
Probing Undiscovered Particles With Theory and Data-Driven Tools
Probing Undiscovered Particles With Theory and Data-Driven Tools

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자료유형  
 학위논문 서양
최종처리일시  
20250211151440
ISBN  
9798382777009
DDC  
530.1
저자명  
Fraser, Katherine.
서명/저자  
Probing Undiscovered Particles With Theory and Data-Driven Tools
발행사항  
[Sl] : Harvard University, 2024
발행사항  
Ann Arbor : ProQuest Dissertations & Theses, 2024
형태사항  
312 p
주기사항  
Source: Dissertations Abstracts International, Volume: 85-12, Section: B.
주기사항  
Advisor: Reece, Matthew.
학위논문주기  
Thesis (Ph.D.)--Harvard University, 2024.
초록/해제  
요약The Standard Model has been precisely tested by a plethora of experiments and has proved extremely successful at describing the fundamental interactions of subatomic particles. Despite this, there are numerous exciting questions motivating the existence of additional physics beyond the Standard Model. In this dissertation, we study a variety of theoretical and data-driven tools for discovering this physics. For theoretical tools, we explore various effective field theories, including those describing: axions mixing with other axions or non-compact scalars, axion interactions with magnetic monopoles, axion strings interacting with massive fermions, CP violating Higgs portal dark matter, scalar triplet and singlet-doublet models as solutions to the CDF-II W mass anomaly, and modifications to Froggatt-Nielsen models for explaining the hierarchy between different flavors of Standard Model Yukawa couplings. Additionally, we investigate machine learning based data-driven tools for precision Top-quark mass measurement and for anomaly detection.
일반주제명  
Theoretical physics
일반주제명  
Particle physics
일반주제명  
Electromagnetics
키워드  
Axions
키워드  
Dark matter
키워드  
Machine learning
키워드  
Magnetic monopoles
키워드  
Subatomic particles
기타저자  
Harvard University Physics
기본자료저록  
Dissertations Abstracts International. 85-12B.
전자적 위치 및 접속  
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MARC

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■020    ▼a9798382777009
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■040    ▼aMiAaPQ▼cMiAaPQ
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■1001  ▼aFraser,  Katherine.▼0(orcid)0000-0003-3723-8517
■24510▼aProbing  Undiscovered  Particles  With  Theory  and  Data-Driven  Tools
■260    ▼a[Sl]▼bHarvard  University▼c2024
■260  1▼aAnn  Arbor▼bProQuest  Dissertations  &  Theses▼c2024
■300    ▼a312  p
■500    ▼aSource:  Dissertations  Abstracts  International,  Volume:  85-12,  Section:  B.
■500    ▼aAdvisor:  Reece,  Matthew.
■5021  ▼aThesis  (Ph.D.)--Harvard  University,  2024.
■520    ▼aThe  Standard  Model  has  been  precisely  tested  by  a  plethora  of  experiments  and  has  proved  extremely  successful  at  describing  the  fundamental  interactions  of  subatomic  particles.  Despite  this,  there  are  numerous  exciting  questions  motivating  the  existence  of  additional  physics  beyond  the  Standard  Model.  In  this  dissertation,  we  study  a  variety  of  theoretical  and  data-driven  tools  for  discovering  this  physics.  For  theoretical  tools,  we  explore  various  effective  field  theories,  including  those  describing:  axions  mixing  with  other  axions  or  non-compact  scalars,  axion  interactions  with  magnetic  monopoles,  axion  strings  interacting  with  massive  fermions,  CP  violating  Higgs  portal  dark  matter,  scalar  triplet  and  singlet-doublet  models  as  solutions  to  the  CDF-II  W  mass  anomaly,  and  modifications  to  Froggatt-Nielsen  models  for  explaining  the  hierarchy  between  different  flavors  of  Standard  Model  Yukawa  couplings.  Additionally,  we  investigate  machine  learning  based  data-driven  tools  for  precision  Top-quark  mass  measurement  and  for  anomaly  detection.
■590    ▼aSchool  code:  0084.
■650  4▼aTheoretical  physics
■650  4▼aParticle  physics
■650  4▼aElectromagnetics
■653    ▼aAxions
■653    ▼aDark  matter
■653    ▼aMachine  learning
■653    ▼aMagnetic  monopoles
■653    ▼aSubatomic  particles
■690    ▼a0753
■690    ▼a0798
■690    ▼a0607
■71020▼aHarvard  University▼bPhysics.
■7730  ▼tDissertations  Abstracts  International▼g85-12B.
■790    ▼a0084
■791    ▼aPh.D.
■792    ▼a2024
■793    ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17161754▼nKERIS▼z이  자료의  원문은  한국교육학술정보원에서  제공합니다.

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