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Characterization of multilayer stack parameters from X-ray reflectivity data using the PPM program: measurements and comparison with TEM results

机译:使用PPM程序根据X射线反射率数据表征多层堆叠参数:测量并与TEM结果进行比较

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Future hard (10 -100 keV) X-ray telescopes (SIMBOL-X, Con-X, HEXIT-SAT, XEUS) will implement focusing optics with multilayer coatings: in view of the production of these optics we are exploring several deposition techniques for the reflective coatings. In order to evaluate the achievable optical performance X-Ray Reflectivity (XRR) measurements are performed, which are powerful tools for the in-depth characterization of multilayer properties (roughness, thickness and density distribution). An exact extraction of the stack parameters is however difficult because the XRR scans depend on them in a complex way. The PPM code, developed at ERSF in the past years, is able to derive the layer-by-layer properties of multilayer structures from semi-automatic XRR scan fittings by means of a global minimization procedure in the parameters space. In this work we will present the PPM modeling of some multilayer stacks (Pt/C and Ni/C) deposited by simple e-beam evaporation. Moreover, in order to verify the predictions of PPM, the obtained results are compared with TEM profiles taken on the same set of samples. As we will show, PPM results are in good agreement with the TEM findings. In addition, we show that the accurate fitting returns a physically correct evaluation of the variation of layers thickness through the stack, whereas the thickness trend derived from TEM profiles can be altered by the superposition of roughness profiles in the sample image.
机译:未来的硬式(10 -100 keV)X射线望远镜(SIMBOL-X,Con-X,HEXIT-SAT,XEUS)将实现具有多层涂层的聚焦光学器件:鉴于这些光学器件的生产,我们正在探索几种沉积技术反光涂层。为了评估可实现的光学性能,进行了X射线反射率(XRR)测量,这是用于深入表征多层特性(粗糙度,厚度和密度分布)的强大工具。但是,由于XRR扫描以复杂的方式依赖于堆栈参数,因此很难准确地提取堆栈参数。 ERSF过去几年开发的PPM代码能够通过参数空间中的全局最小化过程,从半自动XRR扫描配件中得出多层结构的逐层特性。在这项工作中,我们将介绍通过简单的电子束蒸发沉积的一些多层堆叠(Pt / C和Ni / C)的PPM模型。此外,为了验证PPM的预测,将获得的结果与在同一组样本上获得的TEM轮廓进行比较。正如我们将显示的,PPM结果与TEM结果非常吻合。此外,我们表明,精确拟合可返回物理上正确的评估结果,表明整个堆叠层的厚度变化,而通过TEM轮廓得出的厚度趋势可以通过在样品图像中叠加粗糙度轮廓来改变。

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