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

Lead Research Organisation: University of Bristol
Department Name: Physics

Abstract

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.

Publications

10 25 50

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