The Theoretical Physics research group at the University of Plymouth has been supporting playwright Alex Robins who has been funded by the Arts Council to develop a play called Fireworks about particle physics and conspiracy theories. An interview with Alex and the director is here https://www.theprsd.co.uk/2019/12/10/science-and-conspiracy-collide-in-new-play-fireworks-by-alex-robins/ and this contains links to future performances in Ashburton, Exeter and Bodmin which will all be followed by a Q&A session with a member of our research group.
The photograph shows Prof. David McMullan with the author of the play Alex Robins, after a question and answer session after a performance of the play.
It is very important for a scientific sub-field for the theorists and experimental groups to be able to talk together, so that both groups get to learn about new experimental and theoretical developments. This week the regular Christmas meeting at the Rutherford lab about high powered lasers was held. Three staff members and three postdocs from the University of Plymouth attended the meeting to discuss, either in talks, or informally over coffee their latest theoretical work on high powered lasers.
On the 4th December, there was the launch event for the new school of engineering, computing and mathematics. The members of the Mathematical Sciences community brought posters explaining their research into pure mathematics, statistics and data science, theoretical physics and applied mathematics. These disciplines are the theoretical foundation of engineering and much of computing. There was also a tour of the High Performance Computing facilities and a particle physics show in the Immersive Vision Theatre, run by members of our group. The official record of the event is here.
Kaili Wu, a masters student from Zhe-Jiang Gong Shang University in
China, is just finishing a 3 month visit to the Centre of Mathematical
Sciences at the University of Plymouth. She worked
with Dr. Craig McNeile on the project: Economics of Wind
She worked on obtaining predictions for the energy produced from a Wind turbine using a neural network and an ARIMA model. As part of the project, she used the High Performance Computing Cluster at the University to do the statistical analysis.