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Data-Driven Search for Long-Lived Particles via Displaced Vertices at CMS
Data-Driven Search for Long-Lived Particles via Displaced Vertices at CMS
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20260202103209
- ISBN
- 9798283141596
- DDC
- 593.7
- 서명/저자
- Data-Driven Search for Long-Lived Particles via Displaced Vertices at CMS
- 발행사항
- [Sl] : Cornell University, 2025
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2025
- 형태사항
- 300 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 86-12, Section: B.
- 주기사항
- Advisor: Patterson, Juliet.
- 학위논문주기
- Thesis (Ph.D.)--Cornell University, 2025.
- 초록/해제
- 요약We report on a search for pairs of displaced vertices that is sensitive to long- lived particles (LLPs) in a low-background environment. This search uses 137 fb−1 of √s = 13 TeV data collected by the CMS experiment and targets LLPs with mean proper decay lengths between 0.1 and 30 mm. Benchmark models are extended from the previous iteration to include exotic decays of the 125-GeV Higgs boson to a pair of LLPs, which decay hadronically to jets. The previous trigger targeted mass points of LLPs above 800 GeV and was unable to capture the sensitivity of this model. In this search, the same RPV SUSY models are probed as low as 200 GeV. Moreover, data-driven techniques from reconstructing displaced vertices to quantifying associated systematic uncertainties have been improved. To study vertexing efficiency, we employ a novel technique called "TrackMover", in which tracks are artificially displaced in data and simulated SM events to mimic the kinematics and topology of LLP decays. Low- mass LLPs decay to a pair of two soft quarks, posing an issue of no associated jets. Despite the challenge in certain models, this technique has been generalized for all our benchmark models. It could also be adapted to other CMS searches for displaced vertices. While the exclusion limit remains blinded, the displaced-vertex search is expected to continue providing complementary exclusion limits across models to other searches for LLPs with longer lifetimes.
- 일반주제명
- Particle physics
- 일반주제명
- Quantum physics
- 일반주제명
- Theoretical physics
- 일반주제명
- Computational physics
- 키워드
- TrackMover
- 기타저자
- Cornell University Physics
- 기본자료저록
- Dissertations Abstracts International. 86-12B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■020 ▼a9798283141596
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■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a593.7
■1001 ▼aKotamnives, Peace.▼0(orcid)0000-0001-8003-2149
■24510▼aData-Driven Search for Long-Lived Particles via Displaced Vertices at CMS
■260 ▼a[Sl]▼bCornell University▼c2025
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2025
■300 ▼a300 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 86-12, Section: B.
■500 ▼aAdvisor: Patterson, Juliet.
■5021 ▼aThesis (Ph.D.)--Cornell University, 2025.
■520 ▼aWe report on a search for pairs of displaced vertices that is sensitive to long- lived particles (LLPs) in a low-background environment. This search uses 137 fb−1 of √s = 13 TeV data collected by the CMS experiment and targets LLPs with mean proper decay lengths between 0.1 and 30 mm. Benchmark models are extended from the previous iteration to include exotic decays of the 125-GeV Higgs boson to a pair of LLPs, which decay hadronically to jets. The previous trigger targeted mass points of LLPs above 800 GeV and was unable to capture the sensitivity of this model. In this search, the same RPV SUSY models are probed as low as 200 GeV. Moreover, data-driven techniques from reconstructing displaced vertices to quantifying associated systematic uncertainties have been improved. To study vertexing efficiency, we employ a novel technique called "TrackMover", in which tracks are artificially displaced in data and simulated SM events to mimic the kinematics and topology of LLP decays. Low- mass LLPs decay to a pair of two soft quarks, posing an issue of no associated jets. Despite the challenge in certain models, this technique has been generalized for all our benchmark models. It could also be adapted to other CMS searches for displaced vertices. While the exclusion limit remains blinded, the displaced-vertex search is expected to continue providing complementary exclusion limits across models to other searches for LLPs with longer lifetimes.
■590 ▼aSchool code: 0058.
■650 4▼aParticle physics
■650 4▼aQuantum physics
■650 4▼aTheoretical physics
■650 4▼aComputational physics
■653 ▼aData-driven techniques
■653 ▼aDisplaced-vertex reconstruction
■653 ▼aLong-lived particles
■653 ▼aTrackMover
■653 ▼aSystematic uncertainties
■690 ▼a0798
■690 ▼a0753
■690 ▼a0599
■690 ▼a0216
■71020▼aCornell University▼bPhysics.
■7730 ▼tDissertations Abstracts International▼g86-12B.
■790 ▼a0058
■791 ▼aPh.D.
■792 ▼a2025
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17357336▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
