Philippa Duckett

The opportunity to study at the CDT in DIS greatly appealed to me as it provides the opportunity to deepen my research interests in HEP

Project title: Applying machine learning techniques to improve the tracking and identification of b-jets in the ATLAS detector at the LHC

Research Group: High Energy Physics

Supervisor(s): Prof Tim Scanlon 

Introduction: 

Before joining the UCL CDT in DIS, I completed an integrated masters in Physics at Oxford University specialising in Particle and Quantum Physics. For my masters' project, I focussed on developing machine learning approaches for event selection applied to a specific decay mode of charmed B mesons using data from the LHCb experiment. The opportunity to study at the CDT in DIS greatly appealed to me as it provides the opportunity to deepen my research interests in HEP whilst acquiring widely applicable skills in data analysis and machine learning techniques and gaining invaluable commercial experience. My research under the supervision of Tim Scanlon will involve applying machine learning techniques to improve the tracking and identification of b-jets in the ATLAS detector at the LHC.

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Project description:  

 

First year group project: 

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