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Deep learning: the first billion years with next generation Telescopes

Deep learning: the first billion years with next generation Telescopes
深度学习:下一代望远镜的第一个十亿年
批准号:
FL180100060
负责人:
Prof Karl Glazebrook
金额:
$200.91万
依托单位国家:
澳大利亚
项目类别:
Australian Laureate Fellowships
财政年份:
2019
资助国家:
澳大利亚
项目状态:
未结题
起止时间:
2019-08-05 至 2025-08-03

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中文摘要
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英文摘要
This project aims to transform our understanding of the early Universe using the giant James Webb Space Telescope. This telescope, which will be the most transformative telescope of the next decade will be launched in early 2019. The telescope will observe the dawn of galaxy formation 13 billion years ago, a time that is currently shrouded in obscurity. The project will develop new techniques in scientific computing, including cloud-based workflows to make science more efficient and the application of 'deep learning' to the discovery of new astronomical objects and the acceleration of scientific computation. The project will train a new generation of young scientists in the use of these techniques, and actively engage with school students.
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Revealing the Unseen Universe with Gravitational Lensing
  • 批准号:
    DP230101775
  • 项目类别:
    Discovery Projects
  • 资助金额:
    $46.56万
  • 财政年份:
    2023
  • 负责人:
    Prof Karl Glazebrook
  • 依托单位:
Investigating Rosetta Stones of galaxy formation
  • 批准号:
    DP130101460
  • 项目类别:
    Discovery Projects
  • 资助金额:
    $23.8万
  • 财政年份:
    2013
  • 负责人:
    Prof Karl Glazebrook
  • 依托单位:
Mass Assembly of Galaxies In the Cosmos: the roles of stars, gas, and metals
  • 批准号:
    FS110200007
  • 项目类别:
    Super Science Fellowships
  • 资助金额:
    $39.9万
  • 财政年份:
    2011
  • 负责人:
    Prof Karl Glazebrook
  • 依托单位:
Mass assembly and galaxy evolution: measuring origins in deep time
  • 批准号:
    DP1094370
  • 项目类别:
    Discovery Projects
  • 资助金额:
    $23.0万
  • 财政年份:
    2010
  • 负责人:
    Prof Karl Glazebrook
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Understanding structural evolution of galaxies with machine learning
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    10.0万元
  • 批准年份:
    2022
  • 负责人:
    Nicola Rosario Napolitano
  • 依托单位:
煤矿安全人机混合群智感知任务的约束动态多目标Q-learning进化分配
  • 批准号:
    --
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    30万元
  • 批准年份:
    2022
  • 负责人:
    吉建娇
  • 依托单位:
基于领弹失效考量的智能弹药编队短时在线Q-learning协同控制机理
  • 批准号:
    62003314
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    24.0万元
  • 批准年份:
    2020
  • 负责人:
    沈剑
  • 依托单位: