February 16, 2024, 2:30-3:30 pm EST

Welcome by:

Presented by: Alex Razoumov

Duration: 60 minutes

Description: 3D visualization has been used in traditional scientific computing for the past several decades to visualize the results of multidimensional numerical simulations. In humanities, 3D visualizations have been mostly restricted to specialized areas such as game engines, architectural renderings, virtual environments, photogrammetric processing, and visualization of point cloud data. In this short course I will use the 3D space to visualize differences in vocabularies in a given set of texts as 3D scatter plots and 3D graphs — think of this as an extension of traditional 2D plotting to the third dimension, where now you can suddenly visualize much bigger datasets. This lecture-style course will have many live demos that you can try running on your own computer after the course.

• 11.6MB ZIP file with PDF slides, sample data and scripts inside

Biography

Alex Razoumov earned his PhD in computational astrophysics from the University of British Columbia and held postdoctoral positions in Urbana–Champaign, San Diego, Oak Ridge, and Halifax. He has worked on numerical models ranging from galaxy formation to core-collapse supernovae and stellar hydrodynamics, and has developed a number of computational fluid dynamics and radiative transfer codes and techniques. He spent five years as HPC Analyst in SHARCNET helping researchers from diverse backgrounds to use large clusters, and in 2014 moved back to Vancouver to focus on scientific visualization and training researchers to use advanced computing tools. He is now with Simon Fraser University.