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Singular value decomposition as a tool for background corrections in time-resolved XFEL scattering data

机译:奇异值分解作为在时间分辨XFEL散射数据中进行背景校正的工具

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摘要

The development of new X-ray light sources, XFELs, with unprecedented time and brilliance characteristics has led to the availability of very large datasets with high time resolution and superior signal strength. The chaotic nature of the emission processes in such sources as well as entirely novel detector demands has also led to significant challenges in terms of data analysis. This paper describes a heuristic approach to datasets where spurious background contributions of a magnitude similar to (or larger) than the signal of interest prevents conventional analysis approaches. The method relies on singular-value decomposition of no-signal subsets of acquired datasets in combination with model inputs and appears generally applicable to time-resolved X-ray diffuse scattering experiments.
机译:具有空前的时间和亮度特性的新型X射线光源XFEL的开发,导致了具有高时间分辨率和出色信号强度的超大型数据集的可用性。在这种源中,发射过程的混乱性质以及全新的探测器需求也导致了数据分析方面的重大挑战。本文介绍了一种启发式的数据集方法,其虚假背景贡献的大小类似于(或大于)感兴趣的信号,从而阻止了传统的分析方法。该方法依赖于获取的数据集的无信号子集与模型输入的奇异值分解,并且通常适用于时间分辨的X射线漫散射实验。

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