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
![Philippa Duckett](/data-intensive-science-industry/sites/data_intensive_science_industry/files/duckett_philippa_2022_250x350_w.jpg)
1 February 2021
Project title:ÌýApplying machine learning techniques to improve the tracking and identification of b-jets in the ATLAS detector at the LHC
Research Group:Ìý
Supervisor(s): Prof Tim ScanlonÌý
Introduction:Ìý
Before joining the Ïã¸ÛÁùºÏ²Ê 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.
Project description:ÌýÌý
Ìý
First year group project:Ìý
Placement:Ìý
Ìý
Ìý