Reproducible x-ray reflectometry optimization: statistical analysis of differential evolution fitting of multilayer structural models

Published

October 31, 2014

Author(s)

Donald Windover, David Gil, Yasushi Azuma, Toshiyuki Fujimoto

Abstract

We test the reproducibility of X-ray reflectometry(XRR) measurements and optimizations using an National Metrology Institute of Japan (NMIJ)/National Institute of Advanced Industrial Science and Technology (AIST) pre-standard. Based on bootstrap analysis of repeated refinements, using several CPU-years of time, we provide concrete recommendations of best practices for ensuring the reproducibility of XRR model fitting results. These recommendations can be used to study both instrument repeatability and cross-instrument reproducibility. Because the recommendations used optimizations methods available in commonly used commercial software, they can quickly be applied both in research and analytical laboratories, as well as fabrication environments.

Citation

arXiv

Volume

na

Issue

na

Pub Type

Journals

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https://doi.org/10.48550/arXiv.1410.8524

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Keywords

X-ray reflectivity (XRR), differential evolution, optimization, standards

Citation

Windover, D. , Gil, D. , Azuma, Y. and Fujimoto, T. (2014), Reproducible x-ray reflectometry optimization: statistical analysis of differential evolution fitting of multilayer structural models, arXiv, [online], https://doi.org/10.48550/arXiv.1410.8524, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=917511 (Accessed October 14, 2025)