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A Framework for Data Intensive Discovery in Multimessenger Astrophysics

A Framework for Data Intensive Discovery in Multimessenger Astrophysics
多信使天体物理学中的数据密集型发现框架
批准号:
1934752
负责人:
Patrick Brady
金额:
$280.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-09-01 至 2024-08-31

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中文摘要
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英文摘要
This is the conceptualization phase for a Scalable Cyberinfrastructure Institute for Multi-Messenger Astrophysics (SCIMMA). SCIMMA is a collaboration between data scientists, computer scientists, astronomers, astro-particle physicists, and gravitational wave physicists. It leverages NSF investments in astronomical and multi-messenger facilities, and in advanced cyberinfrastructure. Along with achieving key scientific goals and consulting with relevant collaborations and stakeholders, the conceptualization of SCIMMA includes developing algorithms, databases, and computing and networking cyberinfrastructure, to support both observations and their interpretation. This phase includes prototyping a SCIMMA education and outreach center, and presenting accessible digests of the goals and achievements of the institute. The team will be preparing novel curricula at the undergraduate and graduate levels, and the group will support graduate student fellowships for short duration projects.Multi-messenger astrophysics (MMA) is a data-intensive science in its infancy, but already providing revolutionary insights. At the current tipping point, timely investments in cyberinfrastructure for key MMA facilities will enable a torrent of new discoveries. A key goal for SCIMMA is the efficient, rapid, and routine discovery of electromagnetic emission via coordinated follow-up of gravitational wave events. This real-time science needs co-analysis of disparate datasets and the autonomous coordination of diverse follow-up in a seamless fashion. SCIMMA balances rapid prototyping, novel algorithm development, and software sustainability. The rapid-prototype team, tasked to use existing resources to meet immediate goals, is closely integrated with the cyberfoundations team, which will architect new algorithms and deploy new technologies. Software sustainability is a foundational element of the design process, since the institute and its supporting cyberinfrastructure will persist for a decade or more, and both teams will adopt this principle. SCIMMA in full operation will provide the community with consulting services and bring both existing and new MMA activities to maximal interoperability.This project is part of the National Science Foundation's Big Idea activities in Harnessing the Data Revolution (HDR) and Windows on the Universe - The Era of Multi-Messenger Astrophysics (WoU-MMA).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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DOI: 10.1002/spe.3120
发表时间: 2021-01
期刊: Software: Practice and Experience
影响因子: --
作者: [Amanda L. Baxter;S. BenZvi;W. Bonivento;Adam Brazier;Michael Clark;A. Coleiro;D. Collom;M. Colomer-Molla;B. Cousins;Aliwen Delgado Orellana;D. Dornic;V. Ekimtcov;Shereen ElSayed;A. Gallo Rosso;P. Godwin;S. Griswold;A. Habig;Remington Hill;S. Horiuchi;D. A. Howell;Margaret W. G. Johnson;M. Jurić;J. Kneller;A. Kopec;C. Kopper;V. Kulikovskiy;M. Lamoureux;R. Lang;S. Li;M. Lincetto;Lindy Lindstrom;M. Linvill;C. McCully;J. Migenda;D. Milisavljevic;S. Nelson;R. Novoseltseva;E. O’Sullivan;D. Petravick;B. Pointon;N. Raj;A. Renshaw;J. Rumleskie;T. Sonley;R. Tapia;J. Tseng;C. Tunnell;G. Vannoye;C. Vigorito;C. Virtue;Christopher N. Weaver;K. Weil;L. Winslow;R. Wolski;Xun-Jie Xu;Y. Xu]
通讯作者: Amanda L. Baxter;S. BenZvi;W. Bonivento;Adam Brazier;Michael Clark;A. Coleiro;D. Collom;M. Colomer-Molla;B. Cousins;Aliwen Delgado Orellana;D. Dornic;V. Ekimtcov;Shereen ElSayed;A. Gallo Rosso;P. Godwin;S. Griswold;A. Habig;Remington Hill;S. Horiuchi;D. A. Howell;Margaret W. G. Johnson;M. Jurić;J. Kneller;A. Kopec;C. Kopper;V. Kulikovskiy;M. Lamoureux;R. Lang;S. Li;M. Lincetto;Lindy Lindstrom;M. Linvill;C. McCully;J. Migenda;D. Milisavljevic;S. Nelson;R. Novoseltseva;E. O’Sullivan;D. Petravick;B. Pointon;N. Raj;A. Renshaw;J. Rumleskie;T. Sonley;R. Tapia;J. Tseng;C. Tunnell;G. Vannoye;C. Vigorito;C. Virtue;Christopher N. Weaver;K. Weil;L. Winslow;R. Wolski;Xun-Jie Xu;Y. Xu
Data Handling and Analysis Infrastructure for Gravitational-Wave Astronomy
  • 批准号:
    2110594
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $750.96万
  • 财政年份:
    2021
  • 负责人:
    Patrick Brady
  • 依托单位:
Collaborative Research: Community Planning for Scalable Cyberinfrastructure to Support Multi-Messenger Astrophysics
  • 批准号:
    1841625
  • 项目类别:
    Standard Grant
  • 资助金额:
    $26.23万
  • 财政年份:
    2018
  • 负责人:
    Patrick Brady
  • 依托单位:
Data Handling and Analysis Infrastructure for Gravitational-wave Astronomy
  • 批准号:
    1700765
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $720.0万
  • 财政年份:
    2017
  • 负责人:
    Patrick Brady
  • 依托单位:
MRI: Acquisition of a High-Capacity Data Analysis System for Gravitational-Wave Detection with Advanced LIGO
  • 批准号:
    1626190
  • 项目类别:
    Standard Grant
  • 资助金额:
    $87.47万
  • 财政年份:
    2016
  • 负责人:
    Patrick Brady
  • 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
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
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:
基于Linked Open Data的Web服务语义互操作关键技术
  • 批准号:
    61373035
  • 项目类别:
    面上项目
  • 资助金额:
    77.0万元
  • 批准年份:
    2013
  • 负责人:
    冯志勇
  • 依托单位: