Description
We show progress toward the testing of a 3+1 model with the MicroBooNE data using the 1mu1p Deep-Learning-based selection. In order to test this model we apply a muon neutrino disappearance effect to the selection, and search across a grid of our model parameters using a Feldman Cousins technique. We determine MicroBooNE’s sensitivity across this model parameter space, and perform several validation studies to test our study’s robustness. Finally, we examine the allowed regions per MicroBooNE’s data. Looking to future analyses we explore how this work may be extended to search for a sterile plus decay model.
| Collaboration | MicroBooNE |
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Primary author
Joshua Mills
(Tufts University)
