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.

Publications

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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