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Super-macro-particles to improve in Particle-in-cell codes.

About This PhD Project

Project Description

Supervisor: Dr. Jonathan Gratus (Lancaster University) and Dr. Hywel Owen (Manchester University)

Project Description:

A studentship is available from Oct 2019 on the development of the theory, computer coding and testing of an exciting new idea for improving the numerical simulation of charged particles.

Particle-in-cell (PIC) codes are essential for the numerical simulation of charged particles in both conventional accelerators and plasmas. They are used extensively for understanding of the physics and design of future machines. A typical code may have to track 1010 particles and may need to run on high performance computer clusters.

We are investigating a revolutionary new method which promises to dramatically reduce the computation needed for simulations. This method increases the dynamical information of each particle while reducing the total number of particles.

To aid in this task we need an enthusiastic PhD student to incorporate the new dynamical equations into existing PIC codes and compare the results with standard simulations.

The applicant will be expected to have a first or upper second class degree in mathematics, physics, computer science, engineering or other appropriate qualification. A full graduate programme of training and development is provided by the Cockcroft Institute. The student will be based primarily at the Institute at Daresbury, with some work in the laser lab at Liverpool University.

Potential applicants are encouraged to contact Dr. Jonathan Gratus () for more information. This position will remain open until filled.

How to apply: http://www.cockcroft.ac.uk/join-us

Anticipated Start Date: October 2019 for 3.5 Years

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