Date:  Wednesday 16 January 2019
Speaker:  Chris Backhouse (UCL)
Title:  "Machine Learning for Nova"


NOvA and DUNE are two experiments looking to resolve the mysteries of the neutrino by studying the 
phenomenon of neutrino flavour change ("oscillation"). Their success is tied directly to their 
ability to resolve the flavour and properties of neutrino interactions observed in their detectors. 
Recent developments in Deep Learning have allowed NOvA to deploy a new classifier with substantially 
better performance than had been attained with traditional techniques. I will give a brief overview 
of the two experiments and the history of machine learning, before describing the NOvA classifier, 
various extensions of the technique under development, and the promise similar techniques are currently 
showing in DUNE.