95GHZ SPECTROMETER DATA ANALYSIS CO-COMPUTER

这个子项目是利用资源的许多研究子项目之一。 由NIH/NCRR资助的中心拨款提供。对子项目的主要支持 子项目的首席调查员可能是由其他来源提供的， 包括美国国立卫生研究院的其他来源。为子项目列出的总成本可能 表示该子项目使用的中心基础设施的估计数量， 不是由NCRR赠款提供给次级项目或次级项目工作人员的直接资金。 我们购买并安装了第二台辅助数据处理计算机(Red Barn/双核定制配置)，以解决否则使用系统控制计算机进行数据分析和绘图的瓶颈。选择了这种计算升级途径，而不是更换现有的95 GHz光谱仪系统控制计算机的成本高得多的替代方案，这种升级需要以相对更高的成本建造一个定制的底盘。更重要的是，对单计算机解决方案的性能分析表明，对光谱仪操作的高优先级实时控制往往与收集后数据分析所需的计算密集型处理相冲突。第二台计算机的增加消除了这种冲突的可能性。在光谱仪控制计算机中加入了附加的Python脚本，以在实验采集过程中自动将数据文件传输到数据分析/绘图系统。随后的数据分析和绘图主要在MatLab环境中进行，并且对于正在进行的实验的系统计算机控制来说是有效的脱机。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. We have acquired and installed a second, subsidiary data processing computer (Red Barn/dual core custom configuration) as a solution to the bottleneck of otherwise using the system control computer for data analysis and plotting. This computing upgrade path was chosen instead of the significantly costlier alternative of replacing the existing 95GHz spectrometer system control computer, an upgrade that would have required building a custom chassis at relatively much greater expense. More importantly, performance analysis of the single-computer solution indicated that high priority real-time control of the spectrometer operations would often conflict with computationally intensive processing required for post-collection data analysis. Addition of the second computer has eliminated the potential for such conflicts. Additional Python scripting has been incorporated into the spectrometer control computer to automate transfer of data files to the data analysis/plotting system during the course of experiment collections. Subsequent data analysis and plotting is primarily conducted in a MatLab environment and is effectively off-line with respect to system computer control of ongoing experiments.