Project proposals
Project proposals
Searching for heavy flavour hexaquarks at LHCb
We are currently in a golden age for spectroscopy measurements that is being led by the Large Hadron Collider beauty (LHCb) experiment based at the LHC at CERN. The LHCb collaboration have observed a number of tetraquark and pentaquark candidates, which, as the names suggest, contain four and five quarks respectively. An interesting question is then: what about hexaquarks? Do they exist, and if so, can they be observed with the LHCb experiment? In this project you will analyse real LHCb data from LHC Run II to search for hexaquark candidates decaying to a pair of charm baryons and a pion. The key part of the project will be to remove background decays, such as random combinations of particles, to see hints of interesting processes hidden beneath them.
Project type: Data analysis
Prerequisites: Experience with Linux and Python/C++ preferable but not essential
Preferred dates: TBC
Primary supervisor: Dr Mark Whitehead
Secondary supervisor: Dr Lucia Grillo
The next, best measurements to disprove the SM
There are a virtual infinity of ways in which reality could deviate from the Standard Model (SM) of particle physics and still be compatible with current measurements. One way to try and find evidence of such new-physics is to assume a model and try to make measurements in the places it most differs from the SM, but probably the initial assumption was wrong. An alternative approach is to make more generic measurements... but which ones should we try first? This project will build on work in the PPE and PPT group, using the Rivet, Contur, and TACO simulation and statistical toolkits, to propose which new measurements should be best at constraining a general beyond-SM model at the LHC.
Project type: Data analysis/simulation
Prerequisites: Python/C++ and Linux preferable
Preferred dates: May-July
Primary supervisor: Dr Andy Buckley
Secondary supervisor: TBC
Re-using artificial-intelligence physics measurements
Machine-learning or "artificial intelligence" (ML or AI) is a family of powerful, non-linear methods for squeezing extra performance out of a data analysis. But AI tools need to be trained on simulated data, and due to computing limitations they are most usually trained only on "nominal" simulated events, in which uncertainties in detector performance and physics models are ignored, and detector biases are baked in. This makes it hard to re-use stored AI methods on new hypotheses for which detector modelling is not available. In this project we will investigate the use of uncertainty and detector-bias information in training AIs, to improve the reinterpretability of LHC data analyses.
Project type: Data analysis
Prerequisites: C++ and Linux preferable but not essential
Preferred dates: May-July
Primary supervisor: Dr Andy Buckley
Secondary supervisor: TBC
Beam Simulation for T2K
T2K is a long baseline neutrino experiment in Japan, the primary goal of this experiment is to study CP violation in the lepton sector. The high intensity neutrino source for the experiment is generated by the 30 GeV accelerator at J-PARC in Tokai and the neutrinos produced travel through the earth to the 50 kton water Cherenkov detector in the Kamioka mine 295 km away. This project will involve simulating the neutrino beamline which is described in the GEANT4 software package. Accurate modelling of the neutrino beam which services the experiment is critical if T2K is to be sensitive to CP violation in neutrino oscillation. The goal will be to update aspects of the simulation and run large scale simulations on the KEK computing cluster. The work will primarily be software development so previous experience of C++ and Linux is advantageous although training will be provided at the start.
Project type: Data analysis/simulation
Prerequisites: C++ and Linux preferable but not essential
Preferred dates: TBC
Primary supervisor: Dr John Nugent
Secondary supervisor: Professor Paul Soler
Cross-section measurement with WAGASCI detector at T2K
T2K is a long baseline neutrino experiment in Japan, the primary goal of this experiment is to study CP violation in the lepton sector. The high intensity neutrino source for the experiment is generated by the 30 GeV accelerator at J-PARC in Tokai and the neutrinos produced travel through the earth to the 50 kton water Cherenkov detector in the Kamioka mine 295 km away. This project will involve simulating neutrino interactions in the WAGASCI detector, a newly installed detector at T2K with novel capabilities. Accurate modelling of neutrino interactions in matter is critical if T2K is to be sensitive to CP violation in neutrino oscillation. The goal will be to extract a neutrino cross-section measurement with simulated and real data using fitting tools developed by the T2K collaboration. The work will primarily be software development so previous experience of C++ and Linux is advantageous although training will be provided at the start.
Project type: Data analysis
Prerequisites: C++ and Linux preferable but not essential
Preferred dates: TBC
Primary supervisor: Dr John Nugent
Secondary supervisor: Professor Paul Soler