MRI Acquisition: High Performance Cluster for Multidisciplinary Research at Long Island University

MRI 采集：长岛大学多学科研究的高性能集群

• 批准号: 1827573
• 负责人: Steven Liebling
• 金额: $ 9.22万
• 依托单位: Long Island University
• 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
• 起止时间: 2018-09-01 至 2021-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1827573&HistoricalAwards=false
• 关键词: MRI; Acquisition; Performance; Cluster; Multidisciplinary

This project supports the acquisition of a high performance computer cluster in support of bioinformatics research and gravitational wave source modeling. With computation being critical to so many fields, such a cluster will advance research in both these fields as well as help train students in computational methods. In particular, improved source modeling will support improved science from the LIGO gravitational wave observatory. The bioinformatics research seeks to improve the understanding of environmental change generally, and, in particular, on the Antarctic continent.This cluster will be a crucial complement to national and other off-site resources that enables rapid response, effective software development, extended length runs, and other types of custom runs not easily accomplished on other resources. Now is a tremendous time for this field given the spectacular success of LIGO in discovering black hole binaries and, most recently, observing the gravitational waves from a binary neutron star merger that was also captured in the various electromagnetic bands (e.g. as a short gamma ray burst with an accompanying kilonova).These models of such neutron star mergers use state-of-the-art realistic equations of state, magnetic field, and neutrino cooling. A local, advanced cluster supplements computing time at XSEDE facilities and will help tremendously with simulations and analysis of data. The bioinformatics research of this project studies the effect of the environment on the DNA of animals, which has implications for understanding adaptations to extreme environments, particularly those of the Antarctic continent, and how organisms there may respond to future global change.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.

该项目支持获得高性能计算机集群，以支持生物信息学研究和引力波源建模。由于计算对许多领域都至关重要，这样的集群将推动这两个领域的研究，并帮助培养学生的计算方法。特别是，改进的源模型将支持LIGO引力波天文台改进的科学。生物信息学研究旨在提高对一般环境变化的认识，特别是对南极大陆的环境变化的认识，这一集群将是对国家和其他场外资源的重要补充，能够快速反应，有效的软件开发，延长运行时间，以及其他类型的定制运行不容易在其他资源上完成。鉴于LIGO在发现黑洞双星方面取得的巨大成功，以及最近在各种电磁波段中也捕获到的来自中子星星合并双星的引力波，现在是这个领域的一个巨大时代（例如，作为伴随千诺瓦的短伽马射线爆发）。这种中子星星合并的这些模型使用最先进的现实状态方程，磁场，和中微子冷却一个本地的、先进的集群补充了XSEDE设施的计算时间，并将极大地帮助模拟和数据分析。该项目的生物信息学研究研究环境对动物DNA的影响，这对理解适应极端环境，特别是南极大陆的极端环境，该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查进行评估，被认为值得支持的搜索.

项目成果

Maxwell-dilaton dynamics

麦克斯韦膨胀动力学

• DOI: 10.1103/physrevd.100.104040
• 发表时间: 2019
• 期刊: Physical Review D
• 影响因子: 5
• 作者: Liebling, Steven L.

Accessing the axion via compact object binaries

• DOI: 10.1088/1475-7516/2020/08/005
• 发表时间: 2019-10
• 期刊: Journal of Cosmology and Astroparticle Physics
• 影响因子: 6.4
• 作者: Michael Kavic;S. Liebling;M. Lippert;J. Simonetti

Toward fidelity and scalability in non-vacuum mergers

实现非真空合并的保真度和可扩展性

• DOI: 10.1088/1361-6382/ab8fcd
• 发表时间: 2020
• 期刊: Classical and Quantum Gravity
• 影响因子: 3.5
• 作者: Liebling, Steven L;Palenzuela, Carlos;Lehner, Luis
• 通讯作者: Lehner, Luis

Critical Collapse of a Scalar Field in Semiclassical Loop Quantum Gravity

半经典环量子引力中标量场的临界坍缩

• DOI: 10.1103/physrevlett.124.071301
• 发表时间: 2020
• 期刊: Physical Review Letters
• 影响因子: 8.6
• 作者: Benítez, Florencia;Gambini, Rodolfo;Lehner, Luis;Liebling, Steve;Pullin, Jorge
• 通讯作者: Pullin, Jorge