Applications of an Automated C-Axis Analyzer

自动 C 轴分析仪的应用

• 批准号: 9905738
• 负责人: Larry Wilen
• 金额: $ 20.15万
• 依托单位: Ohio University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-09-01 至 2004-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9905738&HistoricalAwards=false
• 关键词: Applications; Automated; Axis; Analyzer

AbstractThis proposal requests support for applications of an automated system for ice fabric analysis. The system combines state-of-the-art digital imaging with computer-controlled polarizers to allow the orientation of all the grains on an ice thin section to be determined quickly and reliably. The method relies on a principle similar to computer aided tomography (CAT) used frequently for medical imaging. A plane containing the c-axis is determined for each of several orientations of the ice sample. A straightforward algorithm is used to find the unique direction of the c-axis which is consistent with the set of measured planes. The system will be integrated with the current capability at the National Ice Core Laboratory (NICL) for imaging and sizing ice grains to provide a facility which can completely characterize the fabric of ice thin sections. This facility will be available to anyone in the ice physics community who would like to analyze ice fabrics.The proponents will apply this instrument to specific issues relating ice flow and fabric. The project will take advantage of the vast store of samples from GISP2 which have been prepared but not analyzed due to time constraints. From this data set, the relationships between ice flow and softness indices determined from fabric will be investigated, and new analysis techniques to discern active process (e.g. grain formation) in the ice will be utilized. The presence of these processes has important implications for flow law exponents and the susceptibility of ice to deformation instabilities. These studies should point the way toward more accurate ice flow models, and also better diagnostics for analyzing ice core climate data.

摘要该建议要求支持冰组构分析自动化系统的应用。该系统将最先进的数字成像与计算机控制的偏振器相结合，可以快速可靠地确定冰薄部分上所有颗粒的方向。该方法依赖于一个类似于计算机辅助断层扫描（CAT）经常用于医学成像的原则。对于冰样品的几个取向中的每一个，确定包含c轴的平面。一个简单的算法是用来找到唯一的方向的c轴是一致的一组测量平面。该系统将与国家冰芯实验室（NICL）的现有能力相结合，用于对冰粒进行成像和测量，以提供一种能够完全表征冰薄部分结构的设施。冰物理学界中任何想分析冰结构的人都可以使用这一设备。支持者将把这一仪器应用于与冰流和冰结构有关的具体问题。该项目将利用地理信息系统第二阶段的大量样本，这些样本已经准备好，但由于时间限制而没有进行分析。从这个数据集，冰流和柔软度指数之间的关系确定从织物将被调查，和新的分析技术，以辨别活跃的过程（如粮食形成）在冰将被利用。这些过程的存在有重要的影响，流动定律指数和冰变形不稳定性的敏感性。这些研究应该为更准确的冰流模型指明方向，并为分析冰芯气候数据提供更好的诊断。