This course is part of the X-ray Diffraction Advanced Applications Courses (XRD AAC) week. It is intended for users seeking to expand their knowledge on thin film analysis by reflectometry methods. The course covers basic principles and practical aspects of X-ray reflectometry for layer structure and interface morphology. To help you to get the best possible result out of your analysis, emphasis is placed on selecting the most appropriate hardware and data collection strategies to match your sample. Our Advanced Materials Analsis Software Suite (AMASS) will be used to analyze the reflectivity curves and 2D datasets collected. Simulation of various example structures will be explained and their nature attuned to the interest of the course participants. Grazing incidence small angle x-ray scattering (GISAXS) will also be discussed as a complimentary technique.
As a participant you are encouraged to bring with you one or two of your characteristic samples together with the corresponding sample submission forms and safety data sheets (included in registration packet).
The main aspects covered during the course are the following:
Basic principles of X-ray Reflectometry
Hardware components and their impact on data quality
Practical aspects of sample alignment procedure and data collection
Extracting information from reflectivity curves:
RMS surface and interface roughness
Interface morphology from diffuse scattering
Extracting information from reciprocal space maps:
Lateral coherence information
Vertical coherence information
GISAXS analysis of film morphology
This is a paid course: Standard Industry $800 per day or Academic $400 per day
Complimentary coffee, tea, breakfast snack and lunch will be provided. The customer is responsible for all other costs of hotel, transportation and additional meals.
Please register to secure your place as seating is limited to keep the course small for the benefit of the attendees and hands-on availability.
We reserve the right to cancel courses due to insufficient enrollment or unforeseen circumstances, such as weather. In the case of cancellation due to low enrollment, we will notify attendees by e-mail and/or by phone 2-3 weeks prior to a class, if not sooner.