RUI: Parameter Estimation, Data Analysis, and Detector Characterization for LIGO
RUI:LIGO 的参数估计、数据分析和探测器表征
基本信息
- 批准号:0854790
- 负责人:
- 金额:$ 18.65万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2009
- 资助国家:美国
- 起止时间:2009-08-01 至 2013-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Through this award the group at Carleton College will continue its work on finding, describing and characterizing the noise in the LIGO detectors. We will help those searching for gravitational wave signals by identifying problematic noise sources that inevitably find their way into the experiment. We will also continue our statistical work whereby we will extract the astrophysical information from the gravitational wave signal.This work has important scientific benefits, and many broader aspects. Noise characterization is a necessary task for any experiment, and this is a job that the Carleton undergraduates are able to accomplish. Once LIGO detects gravitational waves its next task will be to become an astronomical observatory; our statistical work will help to derive the important astrophysical information from the signals. Finally, our work serves as a means to create the next generation of scientists in the United States. Carleton College is a leader in producing scientists; this project gives real scientific opportunity and responsibility to young scientists, and serves as a tremendous incentive for pursuing a career in science.
通过这个奖项,卡尔顿学院的团队将继续寻找,描述和表征LIGO探测器中的噪声。我们将通过识别不可避免地进入实验的有问题的噪声源来帮助那些寻找引力波信号的人。我们还将继续我们的统计工作,从而我们将从引力波信号中提取天体物理信息。这项工作具有重要的科学价值,以及许多更广泛的方面。噪声表征是任何实验的必要任务,这是卡尔顿大学本科生能够完成的工作。一旦LIGO探测到引力波,它的下一个任务将是成为一个天文观测站;我们的统计工作将有助于从信号中获得重要的天体物理信息。最后,我们的工作是在美国培养下一代科学家的一种手段。卡尔顿学院在培养科学家方面处于领先地位;该项目为年轻科学家提供了真实的科学机会和责任,并为追求科学事业提供了巨大的激励。
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 }}
Nelson Christensen其他文献
Correlated 0.01Hz-40Hz seismic and Newtonian noise and its impact on future gravitational-wave detectors
相关的 0.01Hz-40Hz 地震和牛顿噪声及其对未来引力波探测器的影响
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Kamiel Janssens;G. Boileau;Nelson Christensen;N. Remortel;F. Badaracco;B. Canuel;A. Cardini;A. Contu;M. Coughlin;J. Decitre;R. D. Rosa;M. Giovanni;Domenico D’Urso;Stéphane Gaffet;C. Giunchi;Jan Harms;S. Koley;V. Mangano;L. Naticchioni;Marco Olivieri;F. Paoletti;Davide Rozza;D. Sabulsky;S. Shani;L. Trozzo - 通讯作者:
L. Trozzo
Bayesian inference on compact binary inspiral gravitational radiation signals in interferometric data
干涉数据中紧凑二元螺旋引力辐射信号的贝叶斯推断
- DOI:
10.1088/0264-9381/23/15/009 - 发表时间:
2006 - 期刊:
- 影响因子:3.5
- 作者:
C. Röver;R. Meyer;Nelson Christensen - 通讯作者:
Nelson Christensen
Correction to: Formalism for power spectral density estimation for non-identical and correlated noise using the null channel in Einstein Telescope
- DOI:
10.1140/epjp/s13360-023-04072-4 - 发表时间:
2023-05-23 - 期刊:
- 影响因子:2.900
- 作者:
Kamiel Janssens;Guillaume Boileau;Marie-Anne Bizouard;Nelson Christensen;Tania Regimbau;Nick van Remortel - 通讯作者:
Nick van Remortel
Numerical investigation of the effects of classical phase space structure on a quantum system with decoherence
经典相空间结构对退相干量子系统影响的数值研究
- DOI:
10.1103/physreve.61.1299 - 发表时间:
1999 - 期刊:
- 影响因子:0
- 作者:
G. Ball;K. Vant;Nelson Christensen - 通讯作者:
Nelson Christensen
Gravitational waves: search results, data analysis and parameter estimation
- DOI:
10.1007/s10714-014-1796-x - 发表时间:
2015-01-22 - 期刊:
- 影响因子:2.800
- 作者:
Pia Astone;Alan Weinstein;Michalis Agathos;Michał Bejger;Nelson Christensen;Thomas Dent;Philip Graff;Sergey Klimenko;Giulio Mazzolo;Atsushi Nishizawa;Florent Robinet;Patricia Schmidt;Rory Smith;John Veitch;Madeline Wade;Sofiane Aoudia;Sukanta Bose;Juan Calderon Bustillo;Priscilla Canizares;Colin Capano;James Clark;Alberto Colla;Elena Cuoco;Carlos Da Silva Costa;Tito Dal Canton;Edgar Evangelista;Evan Goetz;Anuradha Gupta;Mark Hannam;David Keitel;Benjamin Lackey;Joshua Logue;Satyanarayan Mohapatra;Francesco Piergiovanni;Stephen Privitera;Reinhard Prix;Michael Pürrer;Virginia Re;Roberto Serafinelli;Leslie Wade;Linqing Wen;Karl Wette;John Whelan;C. Palomba;G. Prodi - 通讯作者:
G. Prodi
Nelson Christensen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('Nelson Christensen', 18)}}的其他基金
RUI: Parameter Estimation, Data Analysis, and Detector Characterization for LIGO
RUI:LIGO 的参数估计、数据分析和探测器表征
- 批准号:
1505373 - 财政年份:2015
- 资助金额:
$ 18.65万 - 项目类别:
Continuing Grant
RUI: Parameter Estimation, Data Analysis, and Detector Characterization for LIGO
RUI:LIGO 的参数估计、数据分析和探测器表征
- 批准号:
1204371 - 财政年份:2012
- 资助金额:
$ 18.65万 - 项目类别:
Standard Grant
RUI: Parameter Estimation, Data Analysis, and Detector Characterization for LIGO
RUI:LIGO 的参数估计、数据分析和探测器表征
- 批准号:
0553422 - 财政年份:2006
- 资助金额:
$ 18.65万 - 项目类别:
Continuing Grant
RUI: Data Analysis, Statistical Strategies, and Detector Characterization for LIGO
RUI:LIGO 的数据分析、统计策略和探测器表征
- 批准号:
0244357 - 财政年份:2003
- 资助金额:
$ 18.65万 - 项目类别:
Continuing Grant
RUI: New Parameter Estimation, Data Analysis and Statistical Strategies for LIGO
RUI:LIGO 的新参数估计、数据分析和统计策略
- 批准号:
0071327 - 财政年份:2000
- 资助金额:
$ 18.65万 - 项目类别:
Continuing Grant
相似海外基金
Development of cell lineage tracing methods using parameter estimation of diffusion Wright-Fisher models
使用扩散 Wright-Fisher 模型参数估计开发细胞谱系追踪方法
- 批准号:
23K11299 - 财政年份:2023
- 资助金额:
$ 18.65万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
Statistical Reconstruction of Highly Undersampled DCE MRI with Constrained Optimization for Parameter Estimation
具有参数估计约束优化的高度欠采样 DCE MRI 统计重建
- 批准号:
569544-2022 - 财政年份:2022
- 资助金额:
$ 18.65万 - 项目类别:
Postgraduate Scholarships - Doctoral
Parameter Estimation for Non-Gaussian Model-Based Clustering with High-Dimensional Data
基于非高斯模型的高维数据聚类参数估计
- 批准号:
RGPIN-2017-05258 - 财政年份:2022
- 资助金额:
$ 18.65万 - 项目类别:
Discovery Grants Program - Individual
Improvement of dust parameterization with data-assimilation-based parameter estimation
通过基于数据同化的参数估计改进灰尘参数化
- 批准号:
22K21337 - 财政年份:2022
- 资助金额:
$ 18.65万 - 项目类别:
Grant-in-Aid for Research Activity Start-up
Parameter Estimation in Polyethylene Reactor Models
聚乙烯反应器模型中的参数估计
- 批准号:
573978-2022 - 财政年份:2022
- 资助金额:
$ 18.65万 - 项目类别:
University Undergraduate Student Research Awards
A Novel Framework for Automated Simultaneous Model Identification and Parameter Estimation in Kinetic Studies
动力学研究中自动同步模型识别和参数估计的新框架
- 批准号:
2722453 - 财政年份:2022
- 资助金额:
$ 18.65万 - 项目类别:
Studentship
LEAPS-MPS: Dynamical Parameter Estimation for Hydrodynamic Equations
LEAPS-MPS:流体动力学方程的动力学参数估计
- 批准号:
2213363 - 财政年份:2022
- 资助金额:
$ 18.65万 - 项目类别:
Standard Grant
Parameter Estimation for Non-Gaussian Model-Based Clustering with High-Dimensional Data
基于非高斯模型的高维数据聚类参数估计
- 批准号:
RGPIN-2017-05258 - 财政年份:2021
- 资助金额:
$ 18.65万 - 项目类别:
Discovery Grants Program - Individual
Autonomous parameter estimation for electric machines
电机的自主参数估计
- 批准号:
2602743 - 财政年份:2021
- 资助金额:
$ 18.65万 - 项目类别:
Studentship
Statistical machine learning for efficient hidden parameter estimation and decision making
用于高效隐藏参数估计和决策的统计机器学习
- 批准号:
2601810 - 财政年份:2021
- 资助金额:
$ 18.65万 - 项目类别:
Studentship