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A Convolutional Neural Network for Multiple Particle Identification in the MicroBooNE Liquid Argon Time Projection Chamber
MicroBooNE collaboration, P. Abratenko, M. Alrashed +184
We present the multiple particle identification (MPID) network, a convolutional neural network (CNN) for multiple object classification, developed by MicroBooNE. MPID provides the…
Comparison of νμ-Ar multiplicity distributions observed by MicroBooNE to GENIE model predictions
C. Adams, R. An, J. Anthony +162
We measure a large set of observables in inclusive charged current muon neutrino scattering on argon with the MicroBooNE liquid argon time projection chamber operating at Fermilab.…
Measurement of cosmic-ray reconstruction efficiencies in the MicroBooNE LArTPC using a small external cosmic-ray counter
MicroBooNE collaboration, R. Acciarri, C. Adams +148
The MicroBooNE detector is a liquid argon time projection chamber at Fermilab designed to study short-baseline neutrino oscillations and neutrino-argon interaction cross-section. D…
The Gaussian CL Method for Searches of New Physics
X. Qian, A. Tan, J. J. Ling +2
We describe a method based on the CL approach to present results in searches of new physics, under the condition that the relevant parameter space is continuous. Our method rel…
A Second Detector Focusing on the Second Oscillation Maximum at an Off-axis Location to Enhance the Mass Hierarchy Discovery Potential in LBNE10
X. Qian, J. J. Ling, R. D. McKeown +3
The Long Baseline Neutrino Oscillation Experiment (LBNE) is proposed to determine the neutrino mass hierarchy and measure the CP phase in the leptonic sector. The current design of…
Neutrino mass hierarchy determination and other physics potential of medium-baseline reactor neutrino oscillation experiments
A. B. Balantekin, H. Band, R. Betts +25
Medium-baseline reactor neutrino oscillation experiments (MBRO) have been proposed to determine the neutrino mass hierarchy (MH) and to make precise measurements of the neutrino os…