PhD position: High dimensional data visualisation in high energy physics

Many areas of physics produce very large numbers of results that depend on multiple parameters. The parameters can be theoretical, experimental or from modelling. One example would be Higgs physics, where the LHC experiments are releasing many measurements of its properties. In this case the multiple parameters are the Higgs properties. Typically these measurements are compared with theoretical expectations from the standard model. But they can also be parametrised by an effective Lagrangian to search for deviations from the standard model. In this case the multiple parameters are those in the effective theory.

In this project we will begin to implement modern statistical visualisation tools to large, multidimensional data sets with the aim of gaining intuition into the fits that are normally made.  The data sets to be used in the project can be from particle physics, or with a suitable co-advisor, from any area of physics or astrophysics.