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With a representative set of samples measured in reflection geometry at the MOUSE we lead through our recent advances in this talk. A thin polystyrene film serves as an example for X-ray reflectivity and we show the effect of polishing on the reflectivity of stainless steel. Polystyrene spheres spin-coated onto different substrates including the polished stainless steel are demonstrated to show the characteristic scattering of spherical particles in GISAXS. We conclude with the first GISAXS data from laser-induced periodic surface structures (LIPSS) recorded at the MOUSE.
Three literature examples are presented to demonstrate the wide range of applications of grazing incidence scattering. These examples concern 1) the determination of the density of a porous film, 2) how orientation of conducting polymers is observed in grazing incidence scattering, and 3) how the three-dimensional order of nanoparticles is reflected in the data. To conclude we show recent data from the MOUSE lab demonstrating the new capability to observe intermolecular distances in thin films using the molybdenum X-ray source.
We present the new grazing incidence mode at the MOUSE, which adapts and extends the MOUSE methodology developed for transmission X-ray scattering (Smales and Pauw, 2021). Our methodology begins and ends in discussion with our users and embraces automation for reproducible experiments including sample organisation, instrument configuration, documentation and data processing. This poster presents methodological innovations and challenges.
STOP and Scatter
(2024)
Reproducibility of experiments is something most natural scientists would consider important. However, how do we know experiments are comparable between instruments without explicitly disclosing, tracking and discussing instrument calibration and data processing methods? At SXNS17 we would like to introduce our standardization initiative to the Grazing Incidence Small-Angle Scattering (GISAS) community and gather initial feedback and perhaps contributors before we proceed further.
From the point of view of development of a new lab GISAXS setup at BAM (Berlin, Germany), we propose a draft autoalignment and calibration routine. Together with the GISAS community, we would like to further develop this routine into a standard. On that basis, agreed-upon methods for data treatment could be the next step for the future and perhaps an organization like the Open Reflectometry Standards Organisation .
We begin with a survey of hardware in use around the world, an area we are not planning to address in terms of standardization but which nonetheless provides the practical background for our efforts. We assume availability of pitch, roll, y and z motions, those may be present in the form of a stack of stages, a hexapod, or even a robot arm. All of these can be used for GISAS, but specifications such as backlash direction and minimum incremental motion need to be considered when it comes to resolution and repeatability of experiments. We ask for your help in gathering information on sample stages and holders and would like to present the results at the International Small-Angle Scattering Conference (SAS2024) in November 2024. We believe this an important step to ensure any developed standard can work for everyone in the end.
Inspired by work for Grazing Incidence X-ray Diffraction one of our goals is to estimate and propagate uncertainties from stage motions to scattering vector q (compare for Small-Angle X-ray Scattering). Further ideas for standardization include the use of reflectometry in choosing angles of incidence and, perhaps more importantly, data corrections.
We present initial results of our survey on grazing incidence methods which focuses on hardware, software, sample alignment and instrument calibration. We illustrate both sample alignment and sample-to-detector distance calibration with data recorded at the MOUSE and conclude with promising results from our Bayesian beam optimization procedure based on Gaussian Process regression.
We present the new grazing incidence mode at the MOUSE, which adapts and extends the MOUSE methodology developed for transmission X-ray scattering (Smales and Pauw, 2021). Our methodology begins and ends in discussion with our users and embraces automation for reproducible experiments including sample organisation, instrument configuration, documentation and data processing. Our innovations address repeatability of measurements via laser-cut labels and an automated record of sample visual appearance. We further discuss our sample alignment routine and conclude with the example of 100 nm diameter spheres whose diameter we could resolve successfully on silicon substrate as well as polished stainless steel.