Simultaneous Measurement of Muon Neutrino ν μ Charged-Current Single π + Production in CH, C, H 2 O , Fe, and Pb Targets in MINERvA
Not Available
72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS↗
Engineering topics
Athar, M. Sajjad
Publications and source records attributed to Athar, M. Sajjad.
Improved constraint on the M I N E R ν A medium energy neutrino flux using ν ¯ e − → ν ¯ e − data
Not Available
72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS↗
Vertex finding in neutrino-nucleus interaction: a model architecture comparison
We compare different neural network architectures for machine learning algorithms designed to identify the neutrino interaction vertex position in the MINERvA detector. The architectures developed and optimized by hand are compared with the architectures developed in an automated way using the package “Multi-node Evolutionary Neural Networks for Deep Learning” (MENNDL), developed at Oak Ridge National Laboratory. While the domain-expert hand-tuned network was the best performer, the differences were negligible and the auto-generated networks performed as well. There is always a trade-off between human, and computer resources for network optimization and this work suggests that automated optimization, assuming resources are available, provides a compelling way to save significant expert time.
46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND ↗