...
首页> 外文期刊>Journal of Applied Crystallography >THE SEED-SKEWNESS METHOD FOR INTEGRATION OF PEAKS ON IMAGING PLATES .2. ANALYSIS OF BIAS DUE TO FINITE SIZE OF THE PEAK MASK AND TREATMENT OF ALPHA(1)-ALPHA(2) SPLITTING
【24h】

THE SEED-SKEWNESS METHOD FOR INTEGRATION OF PEAKS ON IMAGING PLATES .2. ANALYSIS OF BIAS DUE TO FINITE SIZE OF THE PEAK MASK AND TREATMENT OF ALPHA(1)-ALPHA(2) SPLITTING

机译:峰值整合在成像板上的种子偏斜方法2。峰罩有限尺寸和ALPHA(1)-ALPHA(2)分裂处理的偏差分析

获取原文
获取原文并翻译 | 示例

摘要

The conditions for the skewness minimum in the seed-skewness algorithm for integration of diffraction maxima on imaging plates are examined. Theoretical estimates of the bias in the integrated intensities due to finite size of the peak mask are derived, and compared with experimental values based on measurements over a single oscillation range with different experimental parameters. The bias is present not only in the seed-skewness method. but also in the standard-box integration results, which suggests that it is at least in part a result of detector characteristics. Appropriate corrections are needed if the data are to be used to the fullest extent in high-accuracy applications. An algorithm for the intensity correction in the case of splitting of the reflections is described, and tested by analysis of a data set collected at a rotating-anode source. The analysis shows that the most reliable alpha(1)-alpha(2) correction is obtained by multiplication of the alpha(1) intensity by an a priori determined factor, and that, on merging of long and short exposures, the weak peaks from the short exposures should be discarded in both rotating-anode and synchrotron data sets. [References: 11]
机译:检查了用于在成像板上积分最大衍射的种子偏度算法中最小偏度的条件。推导了由于峰值模板的有限大小而导致的积分强度偏差的理论估计值,并将其与基于不同实验参数的单个振荡范围内的测量结果的实验​​值进行了比较。偏差不仅存在于种子偏度方法中。而且在标准盒集成结果中,这表明它至少部分是检测器特性的结果。如果要在高精度应用中最大程度地使用数据,则需要进行适当的校正。描述了在反射分开的情况下用于强度校正的算法,并通过分析在旋转阳极源处收集的数据集进行了测试。分析表明,最可靠的alpha(1)-alpha(2)校正是通过将alpha(1)强度乘以先验确定的因子而获得的,并且在长时和短时曝光合并时,来自短时间曝光应在旋转阳极和同步加速器数据集中丢弃。 [参考:11]

著录项

相似文献

  • 外文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号