Advanced analysis techniques with NOvA data & applications for DUNE event simulation
Lead Research Organisation:
University of Sussex
Department Name: Sch of Mathematical & Physical Sciences
Abstract
The project will use advanced analysis techniques including deep learning to identify physics neutrino oscillation processes with high purity and precision in the NOvA dataset. Physical properties of these processes will then be used to direct the tuning of MC generation for the DUNE experiment.
Organisations
Studentship Projects
| Project Reference | Relationship | Related To | Start | End | Student Name |
|---|---|---|---|---|---|
| ST/V507131/1 | 01/10/2020 | 30/09/2024 | |||
| 2488803 | Studentship | ST/V507131/1 | 01/10/2020 | 31/03/2024 | ROBERT KRALIK |