ParaView is a popular open-source application for the visualization of 2D and 3D scientific data. It is designed to run on a desk top (or parallel cluster for large data) and comes packaged with a wide variety of scientific software. Its graphical user interface (GUI) makes it quick to test visualization techniques on data. Once suitable techniques are selected you can build your own bespoke ParaView application, called a state, or use the knowledge gained to program your own application in another system/language.
This is a general hands-on course that introduces some of the basic visualization techniques using research data produced at the University of Leeds. Harder python exercises are being piloted at the end of the course. It covers:
- an overview of the GUI
- how to load, save and reset a state
- how to alter data using the calculator
- using contours (isolines and isosurfaces)
- clipping regions of interest
- using multiple views to show related views of a single data set
- using colour and setting your colour map
- placing titles in the view and saving images
- creating an animation
- tracing python scripts, editing traces to lead to writing and scripts and running them in batch
This course is aimed at researchers who have some 2D or 3D data that they are currently trying to visualize. The level is for beginners to intermediates.
When you register your interest, it is not a guarantee of a place.
As part of the application process, you will be asked to provide a brief explanation of how attending this workshop will benefit your research. You may find it useful to write this piece before attempting to register for the event.
After the application deadline has passed, submissions will be considered, and successful applicants will be offered a place by e-mail. This process will help to ensure that each of the N8 universities are represented at, and benefit from the course.
Joanna is a senior research software engineer (RSE) at the University of Leeds. Before becoming an RSE Joanna worked in medical testing. Her first role as an RSE saw her spend three years work on medical visualization, which included cochlea implants, virtual endoscopy, aneurisms and virtual archaeology.
Since then she has worked on a variety of medical based projects including but not limited to heart modelling, epidemiology and the design of the artificial hip.
Jonathan graduated from Coventry Polytechnic with a BSc in Materials Science, and worked as a research metallurgist, before taking a computer science conversion MSc at the University of Manchester. After that he took a research MPhil in computer science at Aberystwyth University followed by a PhD, specializing in the application of artificial intelligence to computer graphics at the University of York.
After York Pickering was employed in various posts as research assistant or a teaching assistant at the Universities of Huddersfield, York, Salford. He then worked in industry developing a web-based database for a safety testing company. After which joined the University of Leeds and became a research assistant working on the deployment of molecular mechanics research software to industry, before taking up his present post.