The Tufts group is participating in our field’s biggest conference, the biannual Neutrino conference.
Like other events, we’ve had to adapt to the circumstances of this year. The organizers of the conference have put together VR poster session rooms (many kudos to them!).
The MicroBooNE group gathered for a quick photo in front of the virtual Fermilab (which wouldn’t be complete without virtual bison).
The posters from the Tufts group is as follows:
- NOvA central value tuning and uncertainties for the hN FSI model in GENIE 3 by Michael Dolce, Hugh Gallagher,Jeremy Wolcott for Nova
- Study of Pi0 Events in MicroBooNE and Applications to the Deep Learning Low-Energy Excess Search by Katie Mason for MicroBooNE
- Clustering Cosmic Muon and Neutrino Interactions in MicroBooNE using a Deep Convolutional Neural Network by Joshua Mills and Felix Yu for MicroBooNE
- Reconstructing 3D space points from LArTPC images using a Deep Convolutional Neural Network by Ralitsa Sharankova for MicroBooNE
- Chimera events for performance checks of the MicroBooNE Deep Learning-based Low Energy Excess Search by Polina Abratenko for MicroBooNE
Our group’s work as part of the MicroBooNE DL low energy excess analysis team and as part of NOvA’s 3-flavor oscillation result will be shown in MicroBooNE’s and Nova’s plenary talks (both on Thurs, July 2nd).