ITR-(ASE)-(int): Portable Neutron Scattering Visualization and Reduction Software

ITR-(ASE)-(int)：便携式中子散射可视化和还原软件

• 批准号: 0426797
• 负责人: Dennis Mikkelson
• 金额: $ 26.1万
• 依托单位: University of Wisconsin-Stout
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-09-15 至 2007-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0426797&HistoricalAwards=false
• 关键词: ITR; ASE; int; Portable; Neutron

0426797MikkelsonThis award was made on a proposal submitted to the Division of Materials Research under the Information Technology Research solicitation NSF-04-012. Research activities covered by this award fall under the National Priority Area, "Advances in Science and Engineering," and the Technical Focus Area, "Integration of computing, networking, human-computer interfaces, and information management to support reliable, complex, distributed, systems." This project will develop software for time-of-flight neutron scattering data visualization and analysis. The software will extend the capabilities of the Integrated Spectral Analysis Workbench (ISAW) developed in collaboration with the IPNS division of Argonne National Laboratory to work with data from multiple instruments and facilities using the NeXus file standard for neutron scattering data. In addition, the project will develop improved data visualization tools and data reduction operators for powder, glass, liquid and amorphous material diffractometers. The project staff will collaborate with scientists from Argonne, Los Alamos and Oak Ridge National Laboratories. The award also supports collaboration wth the DANSE (Distributed Data Analysis for Neutron Scattering Experiments) team from the California Institute of Technology. The collaboration will develop ways for ISAW to interact with next generation software being developed for the SNS. The software development team will include a diverse group of undergraduate students who will participate fully in the design and development of the software.%%%This award was made on a proposal submitted to the Division of Materials Research under the Information Technology Research solicitation NSF-04-012. Research activities covered by this award fall under the National Priority Area, "Advances in Science and Engineering," and the Technical Focus Area, "Integration of computing, networking, human-computer interfaces, and information management to support reliable, complex, distributed, systems." Time-of-flight neutron scattering techniques provide a critical tool for studying the structure and dynamics of materials. These experiments often produce large data sets with hundreds of megabytes of data. This project will develop portable user-friendly software for visualizing and analyzing such data. The software will support data from multiple instruments and facilities, including the new Spallation Neutron Source being constructed at Oak Ridge National Laboratory. The project will support collaboration with the SNS and with the distributed Data Analysis of Neutron Scattering Experiments project at the California Institute of Technology. In addition to developing the software, this project will contribute to training future software engineers and scientists. The software development team will include a diverse group of undergraduate students who will participate fully in the design and development of the software.***

0426797 Mikkelson该奖项是根据信息技术研究招标NSF-04-012提交给材料研究部的提案而颁发的。该奖项涵盖的研究活动属于国家优先领域，“科学与工程的进步”和技术重点领域，“集成计算，网络，人机界面和信息管理，以支持可靠，复杂，分布式系统。“该项目将开发飞行时间中子散射数据可视化和分析软件。 该软件将扩展与阿贡国家实验室IPNS部门合作开发的综合谱分析仪（ISAW）的功能，以使用NeXus中子散射数据文件标准处理来自多个仪器和设施的数据。 此外，该项目还将为粉末、玻璃、液体和非晶材料衍射仪开发改进的数据可视化工具和数据简化运算符。 项目工作人员将与来自阿贡、洛斯阿拉莫斯和橡树岭国家实验室的科学家合作。 该奖项还支持与来自加州理工学院的DANSE（中子散射实验分布式数据分析）团队的合作。 这项合作将为ISAW与为SNS开发的下一代软件进行交互开发。 软件开发团队将包括一个多元化的本科生群体，他们将全面参与软件的设计和开发。%该奖项是根据信息技术研究招标NSF-04-012提交给材料研究部的提案而颁发的。该奖项涵盖的研究活动属于国家优先领域，“科学与工程的进步”和技术重点领域，“集成计算，网络，人机界面和信息管理，以支持可靠，复杂，分布式系统。“飞行时间中子散射技术为研究材料的结构和动力学提供了重要工具。 这些实验通常会产生数百兆字节的大型数据集。 该项目将开发便于使用的便携式软件，用于可视化和分析此类数据。 该软件将支持来自多个仪器和设施的数据，包括正在橡树岭国家实验室建造的新的SpO 2中子源。 该项目将支持与SNS和加州理工学院的中子散射实验分布式数据分析项目的合作。 除了开发软件外，该项目还将有助于培养未来的软件工程师和科学家。 软件开发团队将包括一个多样化的本科生群体，他们将充分参与软件的设计和开发。