Dark Matter & Heavy Sterile Neutrino Searches in MicroBooNE/SBND
Lead Research Organisation:
University of Manchester
Department Name: Physics and Astronomy
Abstract
Heavy sterile neutrinos could be produced in the BNB and NUMI neutrino beams at Fermilab. The MicroBooNE and SBND detectors could detect such heavy-sterile neutrino decays in the liquid argon. The student is developing algorithms based on Convolutional Neural Networks to select these events. SBND could also be used to detect dark matter production either through signatures that are delayed with respect to the beam arrival time or by operating SBND as a beam dump experiment. The student is performing studies that predict sensitivities for such dark matter signatures.
Studentship Projects
Project Reference | Relationship | Related To | Start | End | Student Name |
---|---|---|---|---|---|
ST/R504956/1 | 01/10/2017 | 30/09/2021 | |||
2023228 | Studentship | ST/R504956/1 | 01/10/2017 | 30/06/2021 | Owen Goodwin |
Description | Member of DUNE collab |
Organisation | Fermilab - Fermi National Accelerator Laboratory |
Department | DUNE |
Country | United States |
Sector | Public |
PI Contribution | Detector construction help. Detector running shifts |
Collaborator Contribution | Access to ProtoDUNE beam data. |
Impact | 10.1088/1748-0221/15/12/P12004 |
Start Year | 2017 |
Description | Member of MicroBooNE collab |
Organisation | Fermilab - Fermi National Accelerator Laboratory |
Department | MicroBooNE Experiment |
Country | United States |
Sector | Public |
PI Contribution | Processing and data quality work Analysis of Physics data |
Collaborator Contribution | Access to physics data |
Impact | https://doi.org/10.1103/PhysRevD.101.052001 10.1088/1748-0221/14/04/P04004 10.1088/1748-0221/15/02/P02007 10.1103/PhysRevLett.123.131801 10.1103/PhysRevD.99.092001 10.1103/PhysRevD.99.091102 10.1140/epjc/s10052-019-6742-3 10.1140/epjc/s10052-019-7184-7 |
Start Year | 2017 |