Machine Learning for Jet Physics at the LHC
Lead Research Organisation:
Durham University
Department Name: Physics
Abstract
In this thesis we will develop and validate novel ideas to harness the power of modern machine learning technology to apply them to precision studies of signatures involving jets at the LHC
People |
ORCID iD |
| Daniel Maitre (Primary Supervisor) | |
| Joseph Walker (Student) |
Studentship Projects
| Project Reference | Relationship | Related To | Start | End | Student Name |
|---|---|---|---|---|---|
| ST/P006744/1 | 01/10/2017 | 30/09/2024 | |||
| 2114448 | Studentship | ST/P006744/1 | 01/10/2018 | 30/09/2023 | Joseph Walker |