Haldrup Kristoffer
Centre for Molecular Movies, Department of Physics, Technical University of Denmark, Fysikvej 307, 2800 Kongens Lyngby, Denmark
Philos Trans R Soc Lond B Biol Sci. 2014 Jul 17;369(1647):20130336. doi: 10.1098/rstb.2013.0336.
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.
具有前所未有的时间和亮度特性的新型X射线光源——X射线自由电子激光（XFEL）的发展，使得能够获得具有高时间分辨率和卓越信号强度的非常大的数据集。此类光源发射过程的混沌性质以及全新的探测器需求，也在数据分析方面带来了重大挑战。本文描述了一种针对数据集的启发式方法，在该数据集中，与感兴趣信号大小相似（或更大）的虚假背景贡献阻碍了传统分析方法。该方法依赖于对采集数据集的无信号子集进行奇异值分解，并结合模型输入，且似乎普遍适用于时间分辨X射线漫散射实验。
