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A Search for Low Mass Resonances Decaying Into Two Jets and Produced in Association With a Photon and Development of Pattern Recognition Algorithms for Identifying Track Candidates in the ATLAS ITk Detector
A Search for Low Mass Resonances Decaying Into Two Jets and Produced in Association With a Photon and Development of Pattern Recognition Algorithms for Identifying Track Candidates in the ATLAS ITk Detector
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20250211153115
- ISBN
- 9798384462538
- DDC
- 530
- 서명/저자
- A Search for Low Mass Resonances Decaying Into Two Jets and Produced in Association With a Photon and Development of Pattern Recognition Algorithms for Identifying Track Candidates in the ATLAS ITk Detector
- 발행사항
- [Sl] : The Ohio State University, 2024
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2024
- 형태사항
- 287 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 86-04, Section: B.
- 주기사항
- Advisor: Boveia, Antonio.
- 학위논문주기
- Thesis (Ph.D.)--The Ohio State University, 2024.
- 초록/해제
- 요약This thesis presents a search for new subatomic particles by looking for localized excesses in the dijet mass distribution of low-mass dijet events produced in association with a high transverse momentum initial stated radiated photon. The search uses the full LHC Run 2 dataset (140 fb−1 ) from Large Hadron Collider proton-proton collisions collected by the ATLAS experiment between 2015 and 2018 at a center-of-mass energy of 13 TeV. Two variants are presented: one which makes no jet flavor requirements and one which requires both jets originate from b-quarks. In the absence of a statistically significant excess in the dijet invariant mass spectrum in either channel, limits were set on the production cross-section for a benchmark Z' model and on generic beyond the Standard Model scenarios that produce Gaussian-shaped signals with a width of up to 15% of the resonance mass in the dijet invariant mass spectrum. The analysis improves the sensitivity to the coupling of the Z' to quarks by up to 50% compared to previously published results. The future HL-LHC is expected to deliver an integrated luminosity of 3000 fb−1 during its operation, increasing the sensitivity to new physics that could elucidate the interaction between dark matter and matter or explain the underlying mechanism of electroweak symmetry breaking. The high instantaneous luminosity creates multiple proton-proton interactions per proton beam crossing that pose significant challenges for object and event reconstruction algorithms, particularly for tracking algorithms used in trigger selections. On online system known as the Event Filter implements a track reconstruction chain and reduces the data rate from 40 MHz to 10kHz. In this thesis, I present a new method for data preparation as part of track reconstruction and a novel application of pattern recognition on FPGAs used in the online trigger to efficiently identify track candidates within the future ATLAS Inner Tracker. This algorithm is found to significantly reduce the number of fake candidates found, making the process of track fitting less computationally intensive.
- 일반주제명
- Physics
- 일반주제명
- Applied mathematics
- 일반주제명
- Particle physics
- 일반주제명
- Computational physics
- 키워드
- Radiated photon
- 키워드
- Luminosity
- 기타저자
- The Ohio State University Physics
- 기본자료저록
- Dissertations Abstracts International. 86-04B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■00520250211153115
■006m o d
■007cr#unu||||||||
■020 ▼a9798384462538
■035 ▼a(MiAaPQ)AAI31693931
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a530
■1001 ▼aHarrison, Natalie.
■24512▼aA Search for Low Mass Resonances Decaying Into Two Jets and Produced in Association With a Photon and Development of Pattern Recognition Algorithms for Identifying Track Candidates in the ATLAS ITk Detector
■260 ▼a[Sl]▼bThe Ohio State University▼c2024
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2024
■300 ▼a287 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 86-04, Section: B.
■500 ▼aAdvisor: Boveia, Antonio.
■5021 ▼aThesis (Ph.D.)--The Ohio State University, 2024.
■520 ▼aThis thesis presents a search for new subatomic particles by looking for localized excesses in the dijet mass distribution of low-mass dijet events produced in association with a high transverse momentum initial stated radiated photon. The search uses the full LHC Run 2 dataset (140 fb−1 ) from Large Hadron Collider proton-proton collisions collected by the ATLAS experiment between 2015 and 2018 at a center-of-mass energy of 13 TeV. Two variants are presented: one which makes no jet flavor requirements and one which requires both jets originate from b-quarks. In the absence of a statistically significant excess in the dijet invariant mass spectrum in either channel, limits were set on the production cross-section for a benchmark Z' model and on generic beyond the Standard Model scenarios that produce Gaussian-shaped signals with a width of up to 15% of the resonance mass in the dijet invariant mass spectrum. The analysis improves the sensitivity to the coupling of the Z' to quarks by up to 50% compared to previously published results. The future HL-LHC is expected to deliver an integrated luminosity of 3000 fb−1 during its operation, increasing the sensitivity to new physics that could elucidate the interaction between dark matter and matter or explain the underlying mechanism of electroweak symmetry breaking. The high instantaneous luminosity creates multiple proton-proton interactions per proton beam crossing that pose significant challenges for object and event reconstruction algorithms, particularly for tracking algorithms used in trigger selections. On online system known as the Event Filter implements a track reconstruction chain and reduces the data rate from 40 MHz to 10kHz. In this thesis, I present a new method for data preparation as part of track reconstruction and a novel application of pattern recognition on FPGAs used in the online trigger to efficiently identify track candidates within the future ATLAS Inner Tracker. This algorithm is found to significantly reduce the number of fake candidates found, making the process of track fitting less computationally intensive.
■590 ▼aSchool code: 0168.
■650 4▼aPhysics
■650 4▼aApplied mathematics
■650 4▼aParticle physics
■650 4▼aComputational physics
■653 ▼aDijet mass distribution
■653 ▼aRadiated photon
■653 ▼aLarge Hadron Collider
■653 ▼aGaussian-shaped signals
■653 ▼aLuminosity
■690 ▼a0605
■690 ▼a0798
■690 ▼a0216
■690 ▼a0364
■71020▼aThe Ohio State University▼bPhysics.
■7730 ▼tDissertations Abstracts International▼g86-04B.
■790 ▼a0168
■791 ▼aPh.D.
■792 ▼a2024
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17165029▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
