Event Date: 8 December 2017
University of London
Professor Glen Cowan (RHUL) – Using machine learning at the Large Hadron Collider
The Large Hadron Collider (LHC), the world’s largest particle accelerator, is currently taking data from which we hope to better understand Nature’s most fundamental particles. Already in recent years the LHC has led to important advances, such as the 2012 discovery of a new type of particle called the Higgs boson. The methods of data analysis used by physicists at the LHC are making increasing use of a branch of Computer Science called Machine Learning, in which computers “learn from data”. The technology that allows physicists to find an extremely rare proton-proton collision containing a Higgs boson is similar in many ways to what is used in a driverless car to identify a pedestrian or a lamppost. The talk will describe some recent results from the LHC and discuss how physicists are using Machine Learning to search for new fundamental particles.
Introduction by Anna Christodoulou (SEPnet/Ogden Trust Outreach Officer) and Professor Stewart Boogert (RHUL):