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Semi-Supervised Learning for Semi-Visible Jets: A Search for Dark Matter Jets at the LHC With the Atlas Detector
Semi-Supervised Learning for Semi-Visible Jets: A Search for Dark Matter Jets at the LHC With the Atlas Detector
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20250211152811
- ISBN
- 9798384039921
- DDC
- 593.7
- 서명/저자
- Semi-Supervised Learning for Semi-Visible Jets: A Search for Dark Matter Jets at the LHC With the Atlas Detector
- 발행사항
- [Sl] : Columbia University, 2024
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2024
- 형태사항
- 177 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 86-03, Section: B.
- 주기사항
- Advisor: Tuts, Philip M.
- 학위논문주기
- Thesis (Ph.D.)--Columbia University, 2024.
- 초록/해제
- 요약A search is presented for hadronic signatures of a strongly-coupled hidden dark sector, accessed via resonant production of a ?' mediator. The analysis uses 139 fb-1 of proton-proton collision data collected by the ATLAS experiment during Run 2 of the LHC. The ?' mediator decays to two dark quarks, which each hadronize and decay to showers containing both dark and Standard Model particles; these showers are termed "semi-visible" jets. The final state consists of missing energy aligned with one of the jets, a topology that is ignored by most dark matter searches. A supervised machine learning method is used to select these dark showers and reject the dominant background of mis-measured multijet events. A complementary semi-supervised anomaly detection approach introduces broad sensitivity to a variety of strongly coupled dark matter models. A resonance search is performed by fitting the transverse mass spectrum with a polynomial background estimation function. Results are presented as limits on the effective cross section of the Z', parameterized by the fraction of invisible particles in the decay and the Z' mass. No structure in the transverse mass spectrum compatible with the signal hypothesis is observed. Z' mediator masses from ranging from 2.0 TeV to 3.5 TeV are excluded at the 95% confidence level.
- 일반주제명
- Particle physics
- 일반주제명
- Nuclear physics
- 키워드
- Dark matter
- 키워드
- Hidden valley
- 키워드
- Jets
- 기타저자
- Columbia University Physics
- 기본자료저록
- Dissertations Abstracts International. 86-03B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■006m o d
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■020 ▼a9798384039921
■035 ▼a(MiAaPQ)AAI31557895
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a593.7
■1001 ▼aBusch, Elena Laura.
■24510▼aSemi-Supervised Learning for Semi-Visible Jets: A Search for Dark Matter Jets at the LHC With the Atlas Detector
■260 ▼a[Sl]▼bColumbia University▼c2024
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2024
■300 ▼a177 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 86-03, Section: B.
■500 ▼aAdvisor: Tuts, Philip M.
■5021 ▼aThesis (Ph.D.)--Columbia University, 2024.
■520 ▼aA search is presented for hadronic signatures of a strongly-coupled hidden dark sector, accessed via resonant production of a ?' mediator. The analysis uses 139 fb-1 of proton-proton collision data collected by the ATLAS experiment during Run 2 of the LHC. The ?' mediator decays to two dark quarks, which each hadronize and decay to showers containing both dark and Standard Model particles; these showers are termed "semi-visible" jets. The final state consists of missing energy aligned with one of the jets, a topology that is ignored by most dark matter searches. A supervised machine learning method is used to select these dark showers and reject the dominant background of mis-measured multijet events. A complementary semi-supervised anomaly detection approach introduces broad sensitivity to a variety of strongly coupled dark matter models. A resonance search is performed by fitting the transverse mass spectrum with a polynomial background estimation function. Results are presented as limits on the effective cross section of the Z', parameterized by the fraction of invisible particles in the decay and the Z' mass. No structure in the transverse mass spectrum compatible with the signal hypothesis is observed. Z' mediator masses from ranging from 2.0 TeV to 3.5 TeV are excluded at the 95% confidence level.
■590 ▼aSchool code: 0054.
■650 4▼aParticle physics
■650 4▼aNuclear physics
■653 ▼aDark matter
■653 ▼aHidden valley
■653 ▼aJets
■653 ▼aSemi-visible jets
■690 ▼a0798
■690 ▼a0756
■71020▼aColumbia University▼bPhysics.
■7730 ▼tDissertations Abstracts International▼g86-03B.
■790 ▼a0054
■791 ▼aPh.D.
■792 ▼a2024
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17163932▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
