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Improving the Search for Higgs Boson Pair Production in the Bottom-Quark and W-Boson Decay Channel Using a Single-Lepton Resolved Final State
Improving the Search for Higgs Boson Pair Production in the Bottom-Quark and W-Boson Decay Channel Using a Single-Lepton Resolved Final State
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20260202105642
- ISBN
- 9798265483430
- DDC
- 530
- 저자명
- Prado, Antonett.
- 서명/저자
- Improving the Search for Higgs Boson Pair Production in the Bottom-Quark and W-Boson Decay Channel Using a Single-Lepton Resolved Final State
- 발행사항
- [Sl] : University of California, Los Angeles, 2025
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2025
- 형태사항
- 174 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 87-06, Section: B.
- 주기사항
- Advisor: Saltzberg, David.
- 학위논문주기
- Thesis (Ph.D.)--University of California, Los Angeles, 2025.
- 초록/해제
- 요약This dissertation presents a CMS search strategy for Higgs boson pair production in the gluon-gluon fusion process in the single-lepton resolved final state of the HH → bbWW channel. The study is based on simulated proton-proton collisions representative of CMS Run 3 conditions at √ s = 13.6 TeV. Events are selected in the single-lepton channel (exactly one electron or muon) and categorized in the resolved topology by jet multiplicity. A systematic comparison between likelihood-ratio- and neural-network-based discriminants is performed; the neural network provides superior separation and is used to set the expected 95% CL upper limit on the signal strength, µ = 19.3, for the single-lepton resolved topology using simulated 2022+2023 samples. The statistical interpretation includes only the integrated-luminosity and statistical uncertainties. In parallel, new low-pT lepton triggers developed within CMS and commissioned in 2024 are expected to increase acceptance for HH → bbWW events in subsequent Run 3 analyses. These developments demonstrate improved sensitivity relative to Run 2 and highlight the methodological progress achieved in preparation for the full Run 3 HH → bbWW analysis.
- 일반주제명
- Physics
- 일반주제명
- Energy
- 일반주제명
- Particle physics
- 키워드
- Higgs boson
- 키워드
- Likelihood ratio
- 키워드
- Machine learning
- 키워드
- Neural network
- 기타저자
- University of California, Los Angeles Physics 0666
- 기본자료저록
- Dissertations Abstracts International. 87-06B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■020 ▼a9798265483430
■035 ▼a(MiAaPQ)AAI32398925
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a530
■1001 ▼aPrado, Antonett.
■24510▼aImproving the Search for Higgs Boson Pair Production in the Bottom-Quark and W-Boson Decay Channel Using a Single-Lepton Resolved Final State
■260 ▼a[Sl]▼bUniversity of California, Los Angeles▼c2025
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2025
■300 ▼a174 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 87-06, Section: B.
■500 ▼aAdvisor: Saltzberg, David.
■5021 ▼aThesis (Ph.D.)--University of California, Los Angeles, 2025.
■520 ▼aThis dissertation presents a CMS search strategy for Higgs boson pair production in the gluon-gluon fusion process in the single-lepton resolved final state of the HH → bbWW channel. The study is based on simulated proton-proton collisions representative of CMS Run 3 conditions at √ s = 13.6 TeV. Events are selected in the single-lepton channel (exactly one electron or muon) and categorized in the resolved topology by jet multiplicity. A systematic comparison between likelihood-ratio- and neural-network-based discriminants is performed; the neural network provides superior separation and is used to set the expected 95% CL upper limit on the signal strength, µ = 19.3, for the single-lepton resolved topology using simulated 2022+2023 samples. The statistical interpretation includes only the integrated-luminosity and statistical uncertainties. In parallel, new low-pT lepton triggers developed within CMS and commissioned in 2024 are expected to increase acceptance for HH → bbWW events in subsequent Run 3 analyses. These developments demonstrate improved sensitivity relative to Run 2 and highlight the methodological progress achieved in preparation for the full Run 3 HH → bbWW analysis.
■590 ▼aSchool code: 0031.
■650 4▼aPhysics
■650 4▼aEnergy
■650 4▼aParticle physics
■653 ▼aHiggs boson
■653 ▼aLikelihood ratio
■653 ▼aMachine learning
■653 ▼aNeural network
■653 ▼aMuon solenoid detector
■690 ▼a0605
■690 ▼a0800
■690 ▼a0798
■690 ▼a0791
■71020▼aUniversity of California, Los Angeles▼bPhysics 0666.
■7730 ▼tDissertations Abstracts International▼g87-06B.
■790 ▼a0031
■791 ▼aPh.D.
■792 ▼a2025
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17360947▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.


