Faculty of Science

Small-angle scattering: Principles, data analysis and advanced modeling - 3 ECTS - 2024
Provider: Faculty of Science

Activity no.: 5335-24-04-31
	Enrollment deadline: 28/06/2024

Place

Niels Bohr Institute

Date and time

19.08.2024, at: 09:00 - 23.08.2024, at: 16:00

Regular seats

ECTS credits

3.00

Contact person

Henriette Hansen E-mail address: henha@food.ku.dk

Enrolment Handling/Course Organiser

Jacob Judas Kain Kirkensgaard E-mail address: jjkk@food.ku.dk

Written language

English

Teaching language

English

Semester/Block

Summer

Exam form

Course Participation; Written Assignment

Exam details

The course is evaluated through active participation, hand-ins during the course and also a final report.

Grading scale

Passed / Not passed

Course workload

Course workload category	Hours
Preparation	15.00
Practical exercises	20.00
Lectures	20.00
Theoretical exercises	20.00
E-learning	10.00

Sum	85.00

Content

Tentative program and list of subjects

Preparations before the course

The SAXS guide (Anton Paar)
Review article (Chem Rev 2016, 116, 11128-11180)
Video material
Software installations

Introduction to x-ray and neutron scattering

Properties of x-rays and neutrons
Form factors, structure factors, polydispersity, contrast and variation thereof
Basic experimental principles
Raw data reduction and background subtraction

Modeling and analysis of scattering data

Model-free concepts (Guinier/Porod/IFT analysis)
Monte Carlo simulation of scattering patterns
Model fitting approaches in Sasview
Anisotropic data analysis

Confirmed speakers

Brian Pauw (BAM Federal Institute)
Organizers and speakers
Jacob J. K. Kirkensgaard (UCPH)
Andreas Haahr Larsen (UCPH)
Martin Cramer Pedersen (UCPH)

Enrolment guidelines

This course will introduce you to the methods of small-angle scattering using x-rays and neutrons. The course will have a strong hands-on approach using a mixture of lectures combined with simulations and walked-through analysis examples giving you direct experience with a range of the most common lines of attack for SAS data analysis.

We aim to work on actual experimental data - either measured using KU’s 3 different SAXS machines or by a visit to the CoSAXS beam line (TBC) but could also be your own data from elsewhere - we will determine this upon your registration on the course.

The course is relevant for all fields of material science where structure on the nanoscale is important and for students aiming to use SAS in their project, for example polymer science, food science, plant science, nanoparticle research, soft matter physics, drug-delivery etc. The course allows up to 30 students - in principle first come, first served - but the organizers will evaluate suitability of all applicants.

Learning outcome

Knowledge:
• Key concepts of SAXS/SANS
• Experimental design and execution of SAXS experiment
• Data analysis and modeling overview for selected samples

Skills:
• Data fitting in Sasview
• Preparing and measuring SAXS

Competences:
• Nanostructural tools, contrasted with microscopy etc.

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