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.
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 |