Computational Homology of Astrophysical Flows
Lead Research Organisation:
Queen Mary University of London
Department Name: Astronomy Unit
Abstract
Computational homology is a new area of research that combines the power of homology, a branch of topology, and algorithms. It
is a powerful way to study high-dimensional, heterogeneous data directly via geometric structures, rather than just through proxies such as statistical moments and power spectra. This project will
use this new methodology to analyse multidimensional data from high-resolution astrophysical flow simulations involving vortices
and turbulence, with and without magnetic fields.
is a powerful way to study high-dimensional, heterogeneous data directly via geometric structures, rather than just through proxies such as statistical moments and power spectra. This project will
use this new methodology to analyse multidimensional data from high-resolution astrophysical flow simulations involving vortices
and turbulence, with and without magnetic fields.
People |
ORCID iD |
| Jack Skinner (Student) |
Studentship Projects
| Project Reference | Relationship | Related To | Start | End | Student Name |
|---|---|---|---|---|---|
| ST/N504257/1 | 30/09/2015 | 30/03/2021 | |||
| 1783504 | Studentship | ST/N504257/1 | 30/09/2016 | 30/03/2021 | Jack Skinner |