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Realistic Simulations of the Intergalactic Medium: The Search for Missing Physics - Part 2

Realistic Simulations of the Intergalactic Medium: The Search for Missing Physics - Part 2
星际介质的真实模拟:寻找缺失的物理现象 - 第 2 部分
批准号:
1810774
负责人:
Michael Norman
金额:
$0.78万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-05-01 至 2019-10-31

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中文摘要
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英文摘要
The intergalactic medium (IGM) is the hot, X-ray emitting gas that permeates the space between galaxies. Currently, standard numerical simulation cannot match several key observational features of the IGM. The mismatch between the simulations and observation data is much too large to be caused by observational errors, and is seen in multiple comparisons using different statistics, and by different groups. This project proposes to resolve this open question in astrophysics by running very high resolution simulations on the Blue Waters supercomputer to make more accurate and robust estimates of the IGM. Furthermore, the simulations and codes will be publicly available to allow others to make their own estimates from existing or new observations.The project will simulate the hydrogen Lyman alpha forest (LYAF) using the newly developed extreme scale branch of the Enzo called Enzo-P. Enzo-P implements the rich suite of physics models from the widely used Enzo community code on top of a new, highly scalable AMR infrastructure called Cello. Both Enzo-P and Cello have been developed by the PIs group at UCSD. The combination of Enzo-P and Cello will permit for the first time the use of AMR throughout a large cosmological volume, removing the existing tradeoff between large volume statistics and high local resolution that characterized previous Enzo simulations. The project will apply this new capability to carry out simulations of the LAF with sufficiently high resolution to capture the gaseous halos of galaxies which contribute significantly to intergalactic absorption, while at the same time surveying a statistically significant volume of the universe. Moreover, the project will construct synthetic LYAF spectra and analyze their statistical properties to see whether the inclusion of high column density absorbers in the model improves agreement observations.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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Collaborative Research: CDS&E: AI-Enhanced Exascale Simulations Of The Earliest Galaxies
  • 批准号:
    2108076
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $46.35万
  • 财政年份:
    2021
  • 负责人:
    Michael Norman
  • 依托单位:
CloudBank: Managed Services to Simplify Cloud Access for Computer Science Research and Education
  • 批准号:
    1925001
  • 项目类别:
    Cooperative Agreement
  • 资助金额:
    $500.0万
  • 财政年份:
    2019
  • 负责人:
    Michael Norman
  • 依托单位:
Category I. Computing without Boundaries: Cyberinfrastructure for the Long Tail of Science
  • 批准号:
    1928224
  • 项目类别:
    Cooperative Agreement
  • 资助金额:
    $1000.0万
  • 财政年份:
    2019
  • 负责人:
    Michael Norman
  • 依托单位:
Collaborative Research: Building the Community for the Open Storage Network
  • 批准号:
    1747490
  • 项目类别:
    Standard Grant
  • 资助金额:
    $43.24万
  • 财政年份:
    2018
  • 负责人:
    Michael Norman
  • 依托单位:
国内基金
海外基金
Galaxy Analytical Modeling Evolution (GAME) and cosmological hydrodynamic simulations.
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    10.0万元
  • 批准年份:
    2025
  • 负责人:
    Antonios Katsianis
  • 依托单位: