OxTalks will soon move to the new Halo platform and will become 'Oxford Events.' There will be a need for an OxTalks freeze. This was previously planned for Friday 14th November – a new date will be shared as soon as it is available (full details will be available on the Staff Gateway).
In the meantime, the OxTalks site will remain active and events will continue to be published.
If staff have any questions about the Oxford Events launch, please contact halo@digital.ox.ac.uk
The Big Bang occurred 13.8 billion years ago. How did we get from there to what we see today? What is our universe made of at the most fundamental level and how do these building blocks form the world around us? Matter and antimatter are created and destroyed together. How then did we end up in a universe entirely made of matter? Particle physicists analyse huge amounts of data from particle collisions at the Large Hadron Collider, CERN to find out about the answers to these questions and more. With such enormous volumes of data, we must develop strategies to extract the data we are interested in from large amounts of background noise using reconstruction and machine learning techniques. Modelling and statistical analysis of the extracted data must be performed in order to measure the parameters that help us understand the differences between matter and antimatter.
