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Improving Energy Estimation at NOvA with Recurrent Neural Networks
Improving Energy Estimation at NOvA with Recurrent Neural Networks
상세정보
- 자료유형
- 학위논문파일 국외
- 최종처리일시
- 20220210093257
- ISBN
- 9798534692983
- DDC
- 593.7
- 서명/저자
- Improving Energy Estimation at NOvA with Recurrent Neural Networks
- 발행사항
- [Sl] : University of Minnesota, 2021
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2021
- 형태사항
- 188 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 83-02, Section: B.
- 주기사항
- Advisor: Pawloski, Gregory.
- 학위논문주기
- Thesis (Ph.D.)--University of Minnesota, 2021.
- 사용제한주기
- This item must not be sold to any third party vendors.
- 일반주제명
- Particle physics
- 일반주제명
- Computational physics
- 일반주제명
- Artificial intelligence
- 일반주제명
- Neurons
- 일반주제명
- Histograms
- 일반주제명
- Identification
- 일반주제명
- Calibration
- 일반주제명
- Cosmic rays
- 일반주제명
- Sensors
- 일반주제명
- Neural networks
- 일반주제명
- Decomposition
- 일반주제명
- Noise
- 일반주제명
- Energy
- 기타저자
- University of Minnesota Physics
- 기본자료저록
- Dissertations Abstracts International. 83-02B.
- 기본자료저록
- Dissertation Abstract International
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■00520220210093257
■020 ▼a9798534692983
■035 ▼a(MiAaPQ)AAI28543578
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a593.7
■1001 ▼aTorbunov, Dmitrii.
■24510▼aImproving Energy Estimation at NOvA with Recurrent Neural Networks
■260 ▼a[Sl]▼bUniversity of Minnesota▼c2021
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2021
■300 ▼a188 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 83-02, Section: B.
■500 ▼aAdvisor: Pawloski, Gregory.
■5021 ▼aThesis (Ph.D.)--University of Minnesota, 2021.
■506 ▼aThis item must not be sold to any third party vendors.
■590 ▼aSchool code: 0130.
■650 4▼aParticle physics
■650 4▼aComputational physics
■650 4▼aArtificial intelligence
■650 4▼aNeurons
■650 4▼aHistograms
■650 4▼aIdentification
■650 4▼aCalibration
■650 4▼aCosmic rays
■650 4▼aSensors
■650 4▼aNeural networks
■650 4▼aDecomposition
■650 4▼aNoise
■650 4▼aEnergy
■653 ▼aNeutrino energy reconstruction
■653 ▼aRecurrent neural network
■653 ▼aOscillation parameters
■653 ▼aEnergy estimation algorithm
■653 ▼aSystematic uncertainty
■653 ▼aNuMI Off-Axis νe Appearance
■690 ▼a0798
■690 ▼a0216
■690 ▼a0800
■690 ▼a0791
■71020▼aUniversity of Minnesota▼bPhysics.
■7730 ▼tDissertations Abstracts International▼g83-02B.
■773 ▼tDissertation Abstract International
■790 ▼a0130
■791 ▼aPh.D.
■792 ▼a2021
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16052478▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202202▼f2022
