Presentations at the British undergraduate conference

Typically a third year student at our school will work on a small project. This will typically be on research topic that the student is interested in. As while as writing a report for their grades, there are opportunities to present the research at a conference.

This year there are three students in Mathematics at Plymouth, who are making presentations at the British Conference of Undergraduate Research, 12 – 13 April 2021. This year the conference will be virtual. The conference is organized the University of Leeds.

The details about the three talks are below:

Title: What effect does government policy have on the reproductive number for COVID-19?

Student Name: Emily Prestige


The aim of this investigation is to determine the effect of government policies on the transmission of COVID-19 during the period 30/01/2020 – 03/01/2021. This investigation uses both qualitative data in the form of policy legislation and journals, and quantitative data in the form of official government pandemic figures. Key factors of successful government approaches are used to assess the effect of the UK government strategy. The measure used to monitor transmission rates is the instantaneous reproduction number Rt. I used summary statistics, data visualisation, and time series representations, to conduct exploratory data analyses. I also investigated the change in testing capacity and positivity rate over time, to account for factors impacting the number of individuals testing positive for COVID-19. To estimate Rt I used a deterministic Susceptible-Infected-Removed model and a stochastic epidemic model, I then used time series models to predict future behaviour of the positivity rate, transmission rate, and number of new cases. From estimating Rt we see that during lockdowns the rate of transmission is reduced. Predictions show that the positivity rate, transmission rate, and number of new cases, will increase if conditions remain the same, i.e., if further mitigation strategies are not implemented. This investigation finds that when policies were communicated clearly, they had a more significant effect on the reduction of Rt. Furthermore, it also finds several areas which can be improved to enhance the effects of policies on reducing transmission rates. 

Title: Analysis on Influencing Factors of Men’s Singles Scores during Winter Olympic Games Cycle

Student Name: Qing Zhang


With the success of Beijing to host the 2022 winter Olympic Games, the main items of the winter Olympics figure skating – also gradually entered people’s field of vision. Figure skating is a highly technical and artistic integration of the ice sports. In combination with the musical accompaniment, the athletes express the musical mood and their own emotions through various ice dance movements, so the sport requires not only the technical ability of the athletes, but also the artistic performance ability of the athletes. This article selects from the International Skating Union (ISU) winter Olympic Games cycle (2014 and 2018) when the man’s world-class competition achievement data statistical analysis, with a number of factors that affect performance results in figure skating men’s as a research perspective, explores how to improve the comprehensive competitiveness of figure skating men’s player of the main ways. The conclusion is that the top factor scores are all the details of the program content, among which the highest score is the performance score; The lower scores were all the details of the technical elements, with the highest score being the jump score. This indicates that the main factors affecting men’s single skating performance in figure skating are program content, including sliding technique, cohesion, performance, arrangement and musical expression. The number and quality of jumps and spins do not significantly affect a competitor’s final result.

Key words: The Winter Olympics; Influencing factors; Regression Analysis; Analysis of Variance; Factor Analysis

Title: Trending Topics and Epidemic Development of the COVID-19 in China: Sentimental Analysis and Visualization

Student name: Yutong Qin


In January 2020, COVID-19 broke out in China. During the Spring Festival, because of the high turnover of people and the infectivity of the virus, the number of COVID-19 confirmed cases is rising rapidly. Led by Weibo, Baidu and Toutiao, with the continuous development of the epidemic, the online public opinion is also changing. To a certain extent, the trending topics represent people’s attitudes and views on the development of epidemic situation. The sentimental analysis of trending topics can comprehend people’s reactions and psychology to the changes of national policies and emergencies, so as to play a guiding role in the countermeasures of similar situations in the future.  This paper selects the epidemic data of the NHC of the PRC from January 20 to April 21 in 2020, and the trending topics data of Weibo, Baidu and Toutiao from December 30 of 2019 to April 21 of 2020, to analyze the trending topics’ emotion with the epidemic change. This paper first groups the epidemic development, then turns the word vector of topics into sentence vector. And then uses TF-IDF algorithm to calculate the weight, artificially labels the results with emotion. Sentimental analysis is realized by using CNN, BosonNLP emotion dictionary, and auxiliary dictionary. Finally uses Python and Echarts to make visualization. According to the results of analysis and epidemic data, the paper can get the relationship between public opinions and the development of the epidemic, so as to better comprehend the psychology of public and find out more appropriate countermeasures. 

AMD GPU Hackathon

The researchers, in the Centre for Mathematical Sciences at the University of Plymouth, who use high performance computing for their research mostly use supercomputers run by an organization called Dirac. Because supercomputing is fast moving field , it is important to keep up with new developments in software and hardware. Dirac also organizes training sessions as well.

Last week Craig McNeile and Gaurav Sinha Ray, attended a two day workshop called: AMD GPU Hackathon.  

AMD is a company that develops computer processors. Graphical Processing Units (GPUs) were orginally developed for graphics, but they have found to speed up scientific and machine learning codes.

At the two day event, Craig and Gaurav, with a collaborator from Glasgow, worked on getting some production codes running on the GPUs made by AMD. There was help from AMD consultants through out the day.

Women in Mathematics Day

We are very pleased to announce that our proposal for hosting the London Mathematical Society’s 2021 Women in Mathematics Day has been successful. We look forward to hosting the event at the University of Plymouth.

The organising committee is Yinghui Wei, Nathan Broomhead, Colin Christopher and Daniel Robertz.

More details will follow.

Talk at an international conference

Although many places around the world are in various lock downs and there are many restrictions on travel, there are still many science conferences, which are being held virtually. Last week Craig McNeile presented results from the HPQCD/FNAL/MILC collaborations on the calculation of the leading hadronic corrections to the g-2 of the muon, at the workhop: The hadronic vacuum polarization from lattice QCD at high precision

The slides are here.


Dr Tom Heinzl, Senior Lecturer in Theoretical Physics, School of Engineering, Computing and Mathematics (SECaM) has published an invited article in Europhysics News, the magazine of the European Physical Society, together with two colleagues from Germany. To access the article, please follow this link:

The article describes the planned LUXE experiment at the DESY facility (Hamburg, Germany), which will collide the electron beam of the European X-ray Free Electron Laser with that of an intense optical laser. LUXE is an international team effort involving physicists from Germany, Israel and the UK (UCL, QUB, Plymouth, Royal Holloway). Tom and collaborators from SECaM are responsible for the theoretical input guiding the experiment. Its purpose is to understand the physics of laser-matter interactions at high energies and intensities by probing it in an ‘extreme’, but controlled, lab environment. A particular goal will be to produce anti-matter (positrons) through the direct collision of photons, the quantum particles of light.   

Figure 1: Tom Heinzl

Award of computer time

Craig McNeile has been awarded 2.88 Mcore hours on the DIRAC COSMA6 supercomputer at the University of Durham. This award was under DIRAC Directors Discretionary Award. Dirac provides distributed high performance computing resources.

The title of the project is: Including full QED in the calculation of the leading hadronic contributions to the anomalous magnetic moment of the muon.

This is part of a larger project to compute the hadronic corrections to the anomalous magnetic moment of the muon,  done in collaboration with the HPQCD, MILC and FNAL lattice QCD collaborations.