The Computing Division Technical Meetings are a platform for

  • presenting Pinboard papers under review for journal or conference publication,
  • inviting speakers who are current or prospective UKAEA collaborators at external organisations,
  • presenting work done in PhD projects funded by or co-supervised by UKAEA,
  • presenting work done during summer placements or other secondments to UKAEA.

 

If you would like to invite a speaker on a topic that would be of interest to one or more Units within the Computing Division, but is not currently collaborating on a UKAEA project, please consider nominating them for a Computing Division Cross-Disciplinary Seminar.

These meetings are normally recorded. Recordings of past meetings can be found here:

CD Technical Meetings Archive on UKAEA Sharepoint

CD Technical Meeting (ML9): Particle Filters for Uncertainty Propagation in PDE Models

Europe/London
Miles Murphy
Description
Machine Learning, Uncertainty Quantification and Data Science 

 

Propagating uncertainty is a key part of modelling systems governed by Partial Differential Equations (PDEs). In many applications, including plasma physics, quantifying uncertainty is important for reliable prediction and risk assessment. We present the use of a Particle Filter for a Bayesian approach to state estimation first demonstrated with a simple heat equation example. We then outline an extension of this method for TORAX, a differentiable plasma transport code that solves a set of non-linear coupled PDEs. We describe how particle filters can be combined with GPU-accelerated solvers to enable a method of uncertainty propagation in complex physics models.

 

    • 15:00 15:30
      Talk 30m

      Abstract:

      Speaker: Miles Murphy
    • 15:30 15:45
      Q&A 15m
      Speaker: Miles Murphy