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IceCube data analysis and detector upgrade developments

IceCube data analysis and detector upgrade developments
IceCube数据分析和探测器升级开发
批准号:
SAPPJ-2020-00039
负责人:
Moore, Roger
金额:
$14.57万
依托单位:
依托单位国家:
加拿大
项目类别:
Subatomic Physics Envelope - Project
财政年份:
2021
资助国家:
加拿大
项目状态:
已结题
起止时间:
2021-01-01 至 2022-12-31

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中文摘要
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英文摘要
The IceCube Neutrino Observatory, located at South Pole Station Antarctica, is the world's largest neutrino detector. Optimized for neutrino energies between a few hundred GeV and tens of PeV, it is the premier facility for the study of high-energy neutrinos and indirect cosmological dark matter searches. In 2008 the original design for IceCube was augmented with a low-energy extension, called DeepCore, that reduced the threshold for the observatory to approximately 10 GeV and initiated an Antarctic-based particle physics program focused on neutrino oscillation measurements and indirect dark matter searches. The IceCube and DeepCore detector arrays are operating with greater than 99% efficiency and the data analyses are reaching full sensitivity with high impact results including world-leading indirect dark matter searches, globally competitive neutrino oscillation measurements and searches for new physics using high energy neutrino interactions. Building on these successes, the IceCube Upgrade was recently approved for funding. This adds seven strings of densely packed detectors that will greatly enhance the neutrino oscillation measurements and extend the indirect dark matter searches to lower masses. Future upgrade plans include IceCube-Gen2 which targets the highest energy neutrinos leading to greater sensitivity to new physics Beyond the Standard Model. The Canadian IceCube program is lead by five faculty members at the University of Alberta, Queen's University and Simon Fraser University. This is a leading group within the collaboration in all aspects of the on-going data analyses for the full energy range accessible by the detector. The group's activities include novel developments in calibrations, new reconstruction algorithms and advanced techniques in the Monte Carlo simulations, designed to reduce the primary detector systematic uncertainties. Our high-level physics analyses are primarily focused on measurements of atmospheric neutrino oscillations near 20 GeV, the atmospheric neutrino flux, indirect dark matter searches, and searches for new physics using high-energy neutrinos. Recognition by the international IceCube collaboration of the Canadian contributions has come through current appointments of Yanez as co-convener of the Neutrino Oscillations working group and Moore as the co-leader of the TFT board. In addition, our PDF Hignight co-convenes the Systematics and Reconstruction working group. Requested in the proposal is funding to maintain the current core IceCube analysis activities, to continue the development of the future detector upgrades. The current IceCube Canada groups include an NSERC supported postdoctoral fellow, 2 continuing PhD graduate students, 1 MSc student and 3 undergraduate researchers. Support for additional graduate and undergraduate researchers is requested as well as travel expenses, to facilitate the group's role in this unique international collaboration, and common fund contributions.
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IceCube data analysis and detector upgrade developments
  • 批准号:
    SAPPJ-2020-00039
  • 项目类别:
    Subatomic Physics Envelope - Project
  • 资助金额:
    $14.57万
  • 财政年份:
    2022
  • 负责人:
    Moore, Roger
  • 依托单位:
IceCube data analysis and detector upgrade developments
  • 批准号:
    SAPPJ-2020-00039
  • 项目类别:
    Subatomic Physics Envelope - Project
  • 资助金额:
    $13.84万
  • 财政年份:
    2020
  • 负责人:
    Moore, Roger
  • 依托单位:
Alberta group research computing infrastructure
  • 批准号:
    376330-2009
  • 项目类别:
    Subatomic Physics Envelope - Research Tools and Instruments
  • 资助金额:
    $1.17万
  • 财政年份:
    2009
  • 负责人:
    Moore, Roger
  • 依托单位:
The D0 experiment: physics at the Energy Frontier (PI: Dugan O'Neil)
  • 批准号:
    321683-2005
  • 项目类别:
    Subatomic Physics Envelope - Project
  • 资助金额:
    $4.58万
  • 财政年份:
    2006
  • 负责人:
    Moore, Roger
  • 依托单位:
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Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
复杂数据下半参数转换模型及其在老年慢性病发展中的应用研究
  • 批准号:
    72101261
  • 项目类别:
    青年科学基金项目(C类)
  • 资助金额:
    30.0万元
  • 批准年份:
    2021
  • 负责人:
    孙韬
  • 依托单位:
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位: