Although the social distancing rules brought into combat COVID-19
make the business of the University difficult. It is still possible
to continue with some activities — using of course technology.
For example, Dr. Martin Lavelle just gave a school outreach talk on dimensional analysis to a local school’s student physics society via a video conference system. Martin found it odd not to be able see faces (they tell you if people are following and interested) and to get questions via chat. However, it possible to run the session by sharing slides and using a whiteboard with a pen Overall it was fun.
Dr Rago in collaboration with Colleagues from Switzerland and Denmark have been granted awarded access to the German supercomputer SuperMUC-NG, with an award of 60,00 M core hours. The team will investigate a novel approach to the study of scattering amplitudes, a class of quantities of fundamental importance in nuclear, hadron, and elementary particle physics.
The award is from PRACE, which (Partnership for Advanced Computing in Europe) is the PanEuropean organisation created to enable high-impact scientific discovery, engineering research and development across all disciplines.
The use of supercomputers has revolutionized many areas of science, such as particle physics and chemistry. To simulate more complicated realistic systems requires every more powerful computers. The current goal is build exascale computers. This is challenging from both building the hardware and writing software to exploit the faster computers.
Dr Antonio Rago from CMS has been awarded a research grant from EPSRC: Lattice Field Theory at the Exascale Frontier.
This is part of ExCALIBUR (Exascale Computing Algorithms and Infrastructures Benefitting UK Research) Strategic Priorities Fund (SPF) to meet the challenge of enabling exascale computer architectures by delivering research and innovative algorithmic development to harness the potential power offered by exascale HPC. As part of this wider project, the UK Lattice community lead by Del Debbio(Edinburgh) Rago(Plymouth) Juettner(Southampton) and Lucini(Swansea) has successfully placed bid to develop software and know how for the anticipated deployment of exascale systems in the mid-2020s.
The value of the grant awarded to Plymouth is approximately £100,000.
In the final year Mathematical Statistics in Context module, a group of students is using their statistical and analytical skills to answer questions in social housing in collaboration with the Plymouth Community Homes. Apart from having the opportunity to work on a real-world case study, students have had the opportunity to visit the company, as part of their project, to gain understanding about business background at the workplace.
On the 18th March 2020 CMS will be running a one day event called: a particle physics master class. Around 70 school students will visit the University of Plymouth to learn about particle physics and to do some analysis of real experimental particle physics data.
The main organizer for the event is Dr. Vincent Drach.
The Mathematical Science group has a strong track record of applying statistics methods to improve and study road safety. Recently, our Julian Stander joined forces with excellent colleagues in the School of Psychology to publish a paper in the journal Transportation Research Part F: Traffic Psychology and Behaviour entitled “Evaluating the effectiveness of a young driver-education intervention: Learn2Live”. This paper reports that a fear-based road safety intervention had an effect on decreasing young drivers’ attitudes towards risky driving and that young drivers preferred a peer-led educational road safety intervention experience, rather than an adult-led intervention experience.
The 6th Edition of Modern Engineering Mathematics has just been published. This is one of the most popular textbooks amongst all students of engineering worldwide. Phil Dyke (Professor of Applied Mathematics) is the editor, succeeding Glyn James who sadly died last year. Matthew Craven (Lecturer in Applied Mathematics) and Yinghui Wei (Associate professor of Statistics) helped produce this new edition, available from 26th February 2020. Its production follows a year of hard work.