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Estimation of errors in diffraction data measured by CCD area detectors

机译:估算由CCD区域检测器测量的衍射数据中的误差

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摘要

Current methods for diffraction-spot integration from CCD area detectors typically underestimate the errors in the measured intensities. In an attempt to understand fully and identify correctly the sources of all contributions to these errors, a simulation of a CCD-based area-detector module has been produced to address the problem of correct handling of data from such detectors. Using this simulation, it has been shown how, and by how much, measurement errors are underestimated. A model of the detector statistics is presented and an adapted summation integration routine that takes this into account is shown to result in more realistic error estimates. In addition, the effect of correlations between pixels on two-dimensional profile fitting is demonstrated and the problems surrounding improvements to profile-fitting algorithms are discussed. In practice, this requires knowledge of the expected correlation between pixels in the image.
机译:来自CCD面积检测器的衍射点积分的当前方法通常低估了所测量强度的误差。为了充分理解并正确识别造成这些错误的所有原因,已经进行了基于CCD的区域检测器模块的仿真,以解决正确处理来自此类检测器的数据的问题。使用此模拟,已显示出如何以及多少程度地低估了测量误差。提出了检测器统计数据的模型,并显示了一个将其考虑在内的自适应求和积分例程,以得出更实际的误差估计。另外,展示了像素之间的相关性对二维轮廓拟合的影响,并讨论了轮廓拟合算法改进周围的问题。在实践中,这需要了解图像中像素之间的预期相关性。

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