Convolutional neural network for multiple particle identification in the MicroBooNE liquid argon time projection chamber
Physical Review D American Physical Society (APS) 103:9 (2021) 092003
Supernova neutrino burst detection with the deep underground neutrino experiment: DUNE Collaboration
European Physical Journal C 81:5 (2021)
Abstract:
The deep underground neutrino experiment (DUNE), a 40-kton underground liquid argon time projection chamber experiment, will be sensitive to the electron-neutrino flavor component of the burst of neutrinos expected from the next Galactic core-collapse supernova. Such an observation will bring unique insight into the astrophysics of core collapse as well as into the properties of neutrinos. The general capabilities of DUNE for neutrino detection in the relevant few- to few-tens-of-MeV neutrino energy range will be described. As an example, DUNE’s ability to constrain the νe spectral parameters of the neutrino burst will be considered.Measurement of the atmospheric muon rate with the MicroBooNE Liquid Argon TPC
Journal of Instrumentation IOP Publishing 16:04 (2021) p04004
Semantic segmentation with a sparse convolutional neural network for event reconstruction in MicroBooNE
Physical Review D American Physical Society (APS) 103:5 (2021) 052012
The continuous readout stream of the MicroBooNE liquid argon time projection chamber for detection of supernova burst neutrinos
Journal of Instrumentation IOP Publishing 16:02 (2021) p02008-p02008