Callum BarltropPhD student
Extreme Value Theory
Since the 2011 Fukishima Daiichi disaster, there has been a lot of discussion about how to safeguard against such events and stop them happening again in the future. In the UK, the Office for Nuclear Regulation (ONR) is responsible for regulation of nuclear safety and security across the UK. They aim to safeguard UK nuclear sites against one in 10,000 year events, which often involves extrapolating above the observed range of data.
For my PhD project, we are working with the ONR to investigate methods for applying multivariate extreme value theory in this context. In particular, I am looking at techniques for estimating what are known as ‘hazard curves’ for various environmental variables that are relevant to nuclear sites in the UK. Furthermore, I am also considering methods for incorporating factors such as climate change and seasonal variability into the analysis of environmental data.
Multivariate Extremes for Nuclear Regulation
I joined the STOR-i programme in 2018 straight after graduating from Lancaster University with a BSc Hons in Mathematics, for which I took a range of pure and statistics modules. I also completed the STOR-i internship in the summer of 2017, which motivated me to sign up for the CDT. I am now in the first year of my PhD, where I am supervised by Jenny Wadsworth from Lancaster University, and Aidan Parkes and Tanya MacLeod from the Office for Nuclear Regulation.
For my research, I am considering ways to apply multivariate extreme value theory in the context of nuclear regulation. In particular, I am looking at ways we can estimate what are known as ‘hazard curves’ for various environmental variables that are relevant to nuclear sites in the UK.
- STOR-i Centre for Doctoral Training