Imaging/Tomography, 23-26 March, 2020, at Lund University

SwedNess Course Code:     GSn_005
English Course Title:            Real-Space Neutron Imaging/Tomography
Svenskt Kursnamn:              Neutron Radiografi/Tomografi
Credits:                                  3 hp

Registration is open:           https://indico.linxs.lu.se/event/157/
Last day of registration:      February 25, 2020

Educational Level:               Third Cycle
Subject Area:                        Neutron Scattering
Grade Scale:                         Pass/Fail
Where:                                   5-5-1 - Main Seminar Room (LINXS at Ideon Delta 5)

Description
This course targets masters, PhD students and possibly postdocs from all fields. The aim of the course is to introduce the concepts of neutron imaging, including neutron radiography and tomography.

Learning Outcomes / Content

  • The basics of neutron radiography and tomography (2D, 3D and 4D imaging)
  • Neutron imaging contrast mechanisms, e.g., attenuation, phase, scattering, magnetic
  • Polychromatic, monochromatic, wavelength resolved (including ToF) imaging
  • Neutron imaging beamlines and systems (design and configuration)
  • Practicalities of neutron imaging experiments (things to consider when planning, running and analyzing an experiment)
  • Tomographic reconstruction techniques
  • Image analysis of neutron radiography and tomography data
  • Advanced techniques: Bragg-edge imaging, polarized neutron imaging, grating interferometry, diffraction contrast imaging, SEMSANS
  • Complementarity of x-ray and neutron imaging (including integrated, simultaneous acquisition of x-ray and neutron images)
  • In-situ experiments
  • Applications of neutron imaging to different science areas, including geoscience, biology, materials, cultural history, archeology

Disposition
1 week of lectures and exercises + home work
Teaching Language: English

Tentative Schedule

Monday

  • Introduction to neutron imaging: basic concepts/definitions, interaction mechanisms, different modalities, complementarity of x-ray and neutron imaging
  • Neutron imaging beamlines and systems (past, present, future)
  • Introduction to (neutron) tomography: acquisition to reconstruction including mathematical principals, with a focus on transmission (attenuation) imaging

Tuesday 

  • Tutorial on tomographic reconstruction: part I
  • Advanced techniques 1: wavelength-resolved imaging, ToF imaging, Bragg-edge imaging, diffraction contrast imaging
  • Planning & running a neutron imaging experiment

Wednesday

  • Advanced techniques 2: Extreme imaging (fast, large, high res.)
  • Advanced techniques 2: Polarised neutron imaging, grating interferometry, SEMSANS
  • 2D, 3D and 4D image analysis: lecture and tutorial
  • Complementary Techniques

Thursday

  • Group work session
  • Selected application examples (“seminar” style from active researchers)

Eligibility & Prerequisites 
PhD students within SwedNess + other MSc/PhD students and Postdocs at Swedish/Nordic institutions. Other researchers may also attend, subject to space limitations.

Literature TBA

Students will be expected to have a laptop computer sufficient for the image analysis and reconstruction practical parts (including Matlab). These practicals will be adapted to be possible on “standard” laptops.

Examination & Requirements for final grade
2 parts:

  1. Mock imaging project proposal based on a given material challenge where the facility and beamline choice is free, but should be justified (i.e, the students should investigate the different beamlines at different facilities and explain why one beamline is chosen over another). Details should be given, e.g., on the imaging configuration (imaging mode, beamline/imaging parameters, e.g., L/D, resolution).
  2. Summary report on the presented techniques.

Examiner and Contact person:
As. Prof. Stephen Hall              E-mail: Stephen.Hall@solid.lth.se
Lund University                         Phone: +46 – (0)46 – 222 45 89
Division of Solid Mechanics

Tentative list of Lecturers

  • Robin Woracek (ESS)
  • Anders Kaestner (PSI)
  • Nikolay Kardjilov (HZB)
  • Stephen Hall (Univ. Lund)
  • + application examples