BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//CERN//INDICO//EN
BEGIN:VEVENT
SUMMARY:SWEDNESS/LINXS Doctoral-level course on neutron imaging
DTSTART;VALUE=DATE-TIME:20210517T080000Z
DTEND;VALUE=DATE-TIME:20210521T130000Z
DTSTAMP;VALUE=DATE-TIME:20260528T124804Z
UID:indico-event-220@lindico453.srv.lu.se
DESCRIPTION:\n\nOVERVIEW\n\nThis doctoral-level course will introduce to n
 eutron imaging from radiography and tomography to advanced approaches such
  as scattering-contrast\, energy-selective and polarised neutron imaging. 
 Each modality will be described from its theoretical background through to
  the experimental practicalities\, data analysis and real examples.\n\nThe
  course will involve a combination of lectures and hands-on (computer-base
 d) exercises with experts in the field from leading neutron imaging facili
 ties. Practical aspects relating to planning and preparing neutron imaging
  experiments will also be discussed. In addition\, there will be opportuni
 ties to discuss with experts in the field and fellow researchers.\n\nDue t
 o on-going covid-19 restrictions the course will be held on-line and the c
 ontent adapted to best function in this format. Lectures will be mostly in
  the afternoons with the morning set aside for practicals and group work.\
 n\nThe objectives of the course are to develop awareness and understanding
  of different neutron imaging methods and their possible applications in d
 ifferent areas of research. Students should thus be able to make more effe
 ctive use of neutron imaging in research by identification of the best me
 thods\, understanding the strengths of different methods/facilities and u
 nderstanding the importance and key aspects of data analysis. Students wil
 l also gain insight into the future possibilities in neutron imaging\, e.g
 .\, at ESS.\n\nThe course is aimed at doctoral students\, postdocs and res
 earchers\, particular those in the SWEDNESS program. The course is organ
 ised in collaboration between SWEDNESS (www.swedness.se) and LINXS (www.li
 nxs.se).\n\nSCHEDULE\n\n- see below\n\nLECTURERS \n\n\n	Robin Woracek (ES
 S)\n	Anders Kaestner (PSI)\n	Nikolay Kardjilov (HZB)\n	Stephen Hall (U. Lu
 nd & LINXS)\n\n\nPracticalities\n\n\n	\n	All lectures will be “live” o
 n-line and adapted to this format.\n	\n	\n	Lectures will also be recorded 
 with the aim to make the lectures public on the LINXS website.\n	\n	\n	Stu
 dents will be expected to have a laptop computer sufficient for the image 
 analysis and reconstruction practical parts\; these practicals will also b
 e adapted to be possible on “standard” laptops.\n	\n	\n	Part of the co
 urse will involve a hands-on exercise in tomographic data reconstruction u
 sing the program muhrec from Anders Kaestner at PSI:  https://github.com
 /neutronimaging/imagingsuite/wiki/User-manuals-MuhRec-FirstRecon (and tes
 t data: http://dx.doi.org/10.17632/g5snr785xy.2)\n	\n	\n	Parts of course 
 will use ImageJ (free software\; Fiji distribution comes with many plugins
 ): https://imagej.net/Fiji/Downloads\n	\n	\n	The students should also have
  access to matlab\n	\n\n\nASSESSMENT\n\nStudents wishing to gain course cr
 edits towards their PhD degree will be expected to submit follow-up course
  work that\, together with the lectures\, will amount to 3 ECTS.\n\n1.  
    Mock imaging project proposal based on a given material challenge whe
 re the facility and beamline choice is free\, but should be justified (i.e
 \, the students should investigate the different beamlines at different fa
 cilities and explain why one beamline is chosen over another). The imaging
  configuration should also be given (imaging mode\, beamline/imaging param
 eters\, e.g.\, L/D\, resolution). This should be developed in groups durin
 g the week and presented to the whole class at the end of the week before 
 being written up and submitted as a group work. Groups will be set-up that
  combine students with different research interests/backgrounds and home i
 nstitutions.\n\n2.     Image analysis challenge. The students should f
 irst follow a tutorial that guides them through some aspects of image visu
 alization\, filtering and segmentation in Fiji / Matlab. Based on this\, t
 he students will tackle an example data set to segment phases then visuali
 ze and quantify the output. This should be presented as a report.\n\nDurin
 g our events we sometimes take photographs and short film clips to profile
  our activities. Please let us know if you don’t want to be in any photo
 s/films before we start the event. \n\nBy registering to our events you g
 ive your permission to LINXS\, according to the General Data Protection Re
 gulation (GDPR)\, to register your name and e-mail address to be used for 
 the sole purpose of distributing newsletters and communications on LINXS a
 ctivities.\n\nhttps://lindico453.srv.lu.se/event/220/
LOCATION:
URL:https://lindico453.srv.lu.se/event/220/
END:VEVENT
END:VCALENDAR