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
基本信息
- 批准号:2207387
- 负责人:
- 金额:$ 27万
- 依托单位:
- 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:
- 关键词:
项目摘要
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.
美国国家科学基金会的激光干涉仪引力波天文台(LIGO)开启了探索宇宙的新时代。科学家们现在可以利用引力波——时空结构中的涟漪——来探索遥远的物体,比如黑洞和中子星。随着LIGO继续探索宇宙,科学家们正在为下一代引力波天文台制定计划;天文台可以看到宇宙中每一个黑洞的合并,并有可能揭示支配致密物质行为的物理原理。在美国,科学界一直在设计一种名为“宇宙探索者”(Cosmic Explorer)的探测器,欧洲正在提议建立一个互补的天文台,即爱因斯坦望远镜(Einstein Telescope)。实现这些观测站的科学潜力需要先进的算法和计算技术,这些算法现在就需要开发,所以当探测器在2030年代开始探索引力波天空时,这些算法已经准备好了。学生们将学习开发这些技术的这些技能将提高美国STEM劳动力的竞争力。该奖项还将支持将高性能计算引入宾夕法尼亚州农村学区的努力,并促进K-12学校的STEM教育。为了应对下一代引力波探测器所带来的数据分析障碍,将会出现一系列越来越困难的数据挑战。这些挑战将:(i)告知在开发有效探测和参数推断的新算法方面需要取得的进展,(ii)帮助估计充分利用下一代探测器的科学潜力所需的计算资源,(iii)建立并吸引一个准备用这个新的观测窗口探索宇宙的研究人员社区。该奖项将提供一个机会,以确定从未来探测器的信号丰富数据中是否可以可靠地提取科学结果,并刺激研究新的分析和推理算法的发展,这些算法可以处理重叠的多种信号类型和强度,不同的持续时间和节奏,所有这些都隐藏在具有非平稳性和空白的数据中。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Salvatore Vitale其他文献
Quantitative soil indicators for identifying primary stressors in fruit tree decline: a case study on kiwifruit vine decline syndrome
用于识别果树衰退中主要胁迫因子的定量土壤指标:以猕猴桃藤衰退综合征为例
- DOI:
10.1016/j.apsoil.2025.105887 - 发表时间:
2025-02-01 - 期刊:
- 影响因子:5.000
- 作者:
Luisa M. Manici;Giulia Maisto;Cristina Abbate;Francesco Caputo;Valeria Memoli;Lucia Santorufo;Bruno Morello;Monica Zizolfi;Giorgia Santini;Salvatore Vitale;Alessandro Infantino - 通讯作者:
Alessandro Infantino
Nonparametric analysis of correlations in the binary black hole population with LIGO-Virgo-KAGRA data
使用 LIGO-Virgo-KAGRA 数据对双黑洞群中的相关性进行非参数分析
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Jack Heinzel;Matthew Mould;Salvatore Vitale - 通讯作者:
Salvatore Vitale
Probing correlations in the binary black hole population with flexible models
用灵活的模型探测双黑洞群中的相关性
- DOI:
10.1103/physrevd.109.103006 - 发表时间:
2023 - 期刊:
- 影响因子:5
- 作者:
J. Heinzel;Salvatore Vitale;S. Biscoveanu - 通讯作者:
S. Biscoveanu
Improvement in insulin sensitivity after switching from an integrase inhibitor-based regimen to doravirine/tenofovir disoproxil fumarate/lamivudine in people with significant weight gain.
对于体重显着增加的人群,从基于整合酶抑制剂的治疗方案转为多拉韦林/富马酸替诺福韦二吡呋酯/拉米夫定后,胰岛素敏感性得到改善。
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:3
- 作者:
L. Calza;Maddalena Giglia;V. Colangeli;I. Bon;Salvatore Vitale;Pierluigi Viale - 通讯作者:
Pierluigi Viale
Teratosphaeria stem canker disease on Eucalypt in Italy
- DOI:
10.1007/s10658-018-1577-6 - 发表时间:
2018-10-01 - 期刊:
- 影响因子:1.900
- 作者:
Salvatore Vitale;Laura Luongo;Etienne G. J. Danchin;Giovanni Mughini;Maria Gras;Massimo Galli;Alessandra Belisario - 通讯作者:
Alessandra Belisario
Salvatore Vitale的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Salvatore Vitale', 18)}}的其他基金
Conference: Physics and Astrophysics at the Extreme (PAX) Workshop
会议:极限物理和天体物理学 (PAX) 研讨会
- 批准号:
2228849 - 财政年份:2022
- 资助金额:
$ 27万 - 项目类别:
Standard Grant
CAREER: Populations and Systematic Uncertainties in the Era of the Advanced Gravitational-Wave Detectors
职业:先进引力波探测器时代的群体和系统不确定性
- 批准号:
2045740 - 财政年份:2021
- 资助金额:
$ 27万 - 项目类别:
Standard Grant
相似国自然基金
Research on Quantum Field Theory without a Lagrangian Description
- 批准号:24ZR1403900
- 批准年份:2024
- 资助金额:0.0 万元
- 项目类别:省市级项目
Cell Research
- 批准号:31224802
- 批准年份:2012
- 资助金额:24.0 万元
- 项目类别:专项基金项目
Cell Research
- 批准号:31024804
- 批准年份:2010
- 资助金额:24.0 万元
- 项目类别:专项基金项目
Cell Research (细胞研究)
- 批准号:30824808
- 批准年份:2008
- 资助金额:24.0 万元
- 项目类别:专项基金项目
Research on the Rapid Growth Mechanism of KDP Crystal
- 批准号:10774081
- 批准年份:2007
- 资助金额:45.0 万元
- 项目类别:面上项目
相似海外基金
Collaborative Research: Constraining next generation Cascadia earthquake and tsunami hazard scenarios through integration of high-resolution field data and geophysical models
合作研究:通过集成高分辨率现场数据和地球物理模型来限制下一代卡斯卡迪亚地震和海啸灾害情景
- 批准号:
2325311 - 财政年份:2024
- 资助金额:
$ 27万 - 项目类别:
Standard Grant
Collaborative Research: EAGER: IMPRESS-U: Groundwater Resilience Assessment through iNtegrated Data Exploration for Ukraine (GRANDE-U)
合作研究:EAGER:IMPRESS-U:通过乌克兰综合数据探索进行地下水恢复力评估 (GRANDE-U)
- 批准号:
2409395 - 财政年份:2024
- 资助金额:
$ 27万 - 项目类别:
Standard Grant
Collaborative Research: CDS&E: data-enabled dynamic microstructural modeling of flowing complex fluids
合作研究:CDS
- 批准号:
2347345 - 财政年份:2024
- 资助金额:
$ 27万 - 项目类别:
Standard Grant
Collaborative Research: Data-Driven Elastic Shape Analysis with Topological Inconsistencies and Partial Matching Constraints
协作研究:具有拓扑不一致和部分匹配约束的数据驱动的弹性形状分析
- 批准号:
2402555 - 财政年份:2024
- 资助金额:
$ 27万 - 项目类别:
Standard Grant
Collaborative Research: GEO OSE Track 2: Developing CI-enabled collaborative workflows to integrate data for the SZ4D (Subduction Zones in Four Dimensions) community
协作研究:GEO OSE 轨道 2:开发支持 CI 的协作工作流程以集成 SZ4D(四维俯冲带)社区的数据
- 批准号:
2324714 - 财政年份:2024
- 资助金额:
$ 27万 - 项目类别:
Standard Grant
Collaborative Research: BoCP-Implementation: Integrating Traits, Phylogenies and Distributional Data to Forecast Risks and Resilience of North American Plants
合作研究:BoCP-实施:整合性状、系统发育和分布数据来预测北美植物的风险和恢复力
- 批准号:
2325835 - 财政年份:2024
- 资助金额:
$ 27万 - 项目类别:
Standard Grant
Collaborative Research: Fusion of Siloed Data for Multistage Manufacturing Systems: Integrative Product Quality and Machine Health Management
协作研究:多级制造系统的孤立数据融合:集成产品质量和机器健康管理
- 批准号:
2323083 - 财政年份:2024
- 资助金额:
$ 27万 - 项目类别:
Standard Grant
Collaborative Research: Data-driven engineering of the yeast Kluyveromyces marxianus for enhanced protein secretion
合作研究:马克斯克鲁维酵母的数据驱动工程,以增强蛋白质分泌
- 批准号:
2323984 - 财政年份:2024
- 资助金额:
$ 27万 - 项目类别:
Standard Grant
Collaborative Research: Frameworks: MobilityNet: A Trustworthy CI Emulation Tool for Cross-Domain Mobility Data Generation and Sharing towards Multidisciplinary Innovations
协作研究:框架:MobilityNet:用于跨域移动数据生成和共享以实现多学科创新的值得信赖的 CI 仿真工具
- 批准号:
2411152 - 财政年份:2024
- 资助金额:
$ 27万 - 项目类别:
Standard Grant
Collaborative Research: CDS&E: data-enabled dynamic microstructural modeling of flowing complex fluids
合作研究:CDS
- 批准号:
2347344 - 财政年份:2024
- 资助金额:
$ 27万 - 项目类别:
Standard Grant