Collaborative Research: A Data Challenge for the Next Generation of Ground-Based Gravitational Wave Detectors

协作研究：下一代地基引力波探测器的数据挑战

• 批准号: 2207638
• 负责人: Bangalore Sathyaprakash
• 金额: $ 33万
• 依托单位: Pennsylvania State Univ University Park
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-01 至 2025-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2207638&HistoricalAwards=false
• 关键词: Collaborative; Research; Data; Challenge; Next

The National Science Foundation’s Laser Interferometer Gravitational Wave Observatory (LIGO) has begun a new era in the exploration of the Universe. Scientists can now use gravitational waves, ripples in the fabric of spacetime, to explore distant objects like black holes and neutron stars. As LIGO continues to explore the universe, scientists are making plans for the next generation of gravitational-wave observatories; observatories that can see every black hole merger in the universe and have the potential to reveal the physics that governs the behavior of dense matter. In the United States, the community has been developing a design for a detector called Cosmic Explorer and Europe is proposing a complementary observatory known as the Einstein Telescope. Achieving the scientific potential of these observatories requires advanced algorithms and computational techniques that need to be developed now, so these algorithms are ready when the detectors begin exploring the gravitational-wave sky in the 2030s. These skills that students will learn developing these technologies will advance the competitiveness of the U.S. STEM workforce. This award will also support an effort to bring high-performance computing to school districts in rural Pennsylvania and promote STEM education in K-12 schools.A series of progressively more difficult data challenges will be created to confront the data-analysis hurdles presented by the next generation of gravitational-wave detectors. These challenges will: (i) inform the progress that would need to be made in the development of new algorithms for efficient detection and parameter inference, (ii) help estimate the computational resources required to fully exploit the science potential of next-generation detectors and (iii) build and engage a community of researchers that is ready to explore the Universe with this new observational window. This award will provide an opportunity to determine if science results from the signal-rich data of future detectors can be reliably extracted and stimulate research in the development of new analysis and inference algorithms that can deal with overlapping multiple signal types and strengths, of varying duration and cadence, all buried in data with non-stationarities and gaps.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.

国家科学基金会的激光干涉仪重力浪潮天文台（LIGO）已在宇宙探索中开始了一个新时代。科学家现在可以使用引力波，时空的结构中的涟漪来探索诸如黑洞和中性恒星之类的遥远物体。随着Ligo继续探索宇宙，科学家们正在为下一代重力波观测站制定计划。观察者可以看到宇宙中每个黑洞的默瑟，并且有可能揭示控制密集物质行为的物理学。在美国，该社区一直在为一个名为Cosmic Explorer的探测器开发设计，而欧洲则提出了一种称为爱因斯坦望远镜的完整观察。实现这些观察者的科学潜力需要现在需要开发的高级算法和计算技术，因此当检测器在2030年代开始探索引力波天空时，这些算法就可以准备好了。这些学生将学习开发这些技术的技能将提高美国STEM劳动力的竞争力。该奖项还将支持为宾夕法尼亚州粗糙的学区带来高性能计算的努力，并在K-12学校中促进STEM教育。将会提出一系列越来越困难的数据挑战，以面对下一代重力波探测器提出的数据分析障碍。这些挑战将是：（i）告知在开发新算法以进行有效检测和参数推理时需要取得的进展，（ii）帮助估计完全探索下一代探测器的科学潜力所需的计算资源，并（iii）构建和参与一个可以与这个新的观测范围探索世界的研究人员。该奖项将提供一个机会，以确定科学从未来探测器的信号数据中得出的结果是否可以可靠地提取，并刺激在开发新的分析和推理算法的开发中的研究，这些算法可以处理多种信号类型和优势，这些持续时间和节奏的多种信号类型和优势，所有这些都以不合格性和gaps的速度来构建了nsf的构建，并且均表现了NSF的构建奖。更广泛的影响审查标准。

项目成果

Constraining properties of asymmetric dark matter candidates from gravitational-wave observations

• DOI: 10.1103/physrevd.107.083037
• 发表时间: 2022-10
• 期刊: Physical Review D
• 影响因子: 5
• 作者: Divya Singh;Anuradha Gupta;E. Berti;S. Reddy;B. Sathyaprakash

Subtracting compact binary foregrounds to search for subdominant gravitational-wave backgrounds in next-generation ground-based observatories

• DOI: 10.1103/physrevd.108.064040
• 发表时间: 2022-09
• 期刊: Physical Review D
• 影响因子: 5
• 作者: Bei Zhou;L. Reali;E. Berti;Mesut Çalışkan;Cyril Creque-Sarbinowski;M. Kamionkowski;B. Sathyaprakash

Neutron star-black hole mergers in next generation gravitational-wave observatories

• DOI: 10.1103/physrevd.107.124007
• 发表时间: 2023-01
• 期刊: Physical Review D
• 影响因子: 5
• 作者: I. Gupta;S. Borhanian;A. Dhani;D. Chattopadhyay;R. Kashyap;V. Villar;B. Sathyaprakash

Measuring properties of primordial black hole mergers at cosmological distances: Effect of higher order modes in gravitational waves

• DOI: 10.1103/physrevd.107.024041
• 发表时间: 2022-10
• 期刊: Physical Review D
• 影响因子: 5
• 作者: K. Ng;B. Goncharov;Shi-yong Chen;S. Borhanian;U. Dupletsa;G. Franciolini;M. Branchesi;J. Harms;M. Maggiore;A. Riotto;B. Sathyaprakash;S. Vitale

Systematic errors due to quasiuniversal relations in binary neutron stars and their correction for unbiased model selection

双中子星准普遍关系引起的系统误差及其对无偏模型选择的校正

• DOI: 10.1103/physrevd.106.123001
• 发表时间: 2022
• 期刊: Physical Review D
• 影响因子: 5
• 作者: Kashyap, Rahul;Dhani, Arnab;Sathyaprakash, Bangalore
• 通讯作者: Sathyaprakash, Bangalore