20-21 November 2023
Virtual Event
Australia/Melbourne timezone

If you attended this event please fill out the short survey to provide us with some feedback to make future events better!

SURVEY LINK

 

About this event
So, you've dusted off your lab notebook and have dug through your hard-drive and found some old (or not so old) synchrotron data. Great! Now what? Come along to our 2-day data analysis workshop and get some help diving into that data and discovering its secrets!

This two-day workshop will cover data processing using GeoPIXE for XFM and introduce our infrared community to Quasar, an open-source software for visualisation and statistical analysis
developed in conjunction with the international synchrotron community.

Data analysis sessions will be primarily pre-organised presentations covering the basics, but then tailored to your questions posed on the registration form. Opportunities for Q&A will be available in each session.

Monday 20th November (Day 1)
We start with a general update focused on recent advancements from the four beamlines in the microscopy group: X-ray fluorescence microscopy (XFM), terahertz (THz), infrared microspectroscopy (IRM), and nanoprobe (Nano).

After lunch we jump into analysing XFM data with GeoPIXE (fitting, element association, XANES, batch processing etc) with the XFM team and guest speaker, Chris Ryan, the developer of GeoPIXE.

Tuesday 21st November (Day 2)
In the morning, we hear about the revitalisation of the CT processing pipeline and ptychography at XFM. Following, a dedicated Q&A session for your questions about using GeoPIXE.

After lunch, an introduction to the available software from IR for visualisation and statistical analysis of both single spectra and hyperspectral infrared data. Examples of hierarchial cluster analysis (HCA) and principal component analysis (PCA) will be shown in Quasar, an open-source software package . Following, a dedicated Q&A session for your questions about analysing IR data.

Who should attend?
Anyone who has XFM or IR data.

*Heading image supplied by Daniel McDougall. View research article

Your browser is out of date!

Update your browser to view this website correctly. Update my browser now

×