95GHZ SPECTROMETER EXPERIMENTAL SCRIPTING

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。 随着对95 GHz脉冲光谱仪软件和硬件的广泛改造，人们意识到一套用于评估光谱仪各方面性能的实用脚本将非常有用。由于代码库以简化、透明的方式进行了更新，因此现在编写这样的实用程序脚本要容易得多。我们一直在与康奈尔高级计算中心的Drew Dolgert合作，用可移植的、易于理解的Python实现这些实用程序脚本。Dolgert博士的专业知识对于确保实用程序脚本的python实现在多个可用的python版本中遵循公认的python约定和最佳实践至关重要。

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. With the extensive reworking of the 95 GHz pulse spectrometer software and hardware, it was realized that a suite of utility scripts for assessing various aspects of spectrometer performance would be extremely useful. Due to the streamlined, transparent way in which the code base has been updated, writing such utility scripts is now much easier. We have been working with Drew Dolgert of the Cornell Center for Advanced Computing to implement these utility scripts in portable, easily understandable python. Dr. Dolgert's expertise has been crucial for ensuring that the python implementation of the utility scripts follows universally recognized python conventions and best practices across multiple available python versions.