New Physics searches in B and D meson decays with Machine Learning

Lead Research Organisation: University of Bristol
Department Name: Physics


This project aims to discover physics beyond the Standard Model (SM) by using advanced machine learning techniques to study a vast number of B- and D-hadrons (bound state of beauty or charm quarks respectively) with unprecedented precision at current and future CERN facilities. The proposed research has two main branches: 1) Development of GPU based 4-body amplitude fits of decays of B- and D-hadrons using TensorFlow; 2) Development of fast simulation of both the collisions as well as of the response of particle physics detectors using Generative Networks.


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Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/S023992/1 01/04/2019 30/09/2027
2431434 Studentship EP/S023992/1 01/10/2020 30/09/2024 Jake Amey