Development of a Deep Neural Network for the data analysis of the NeuLAND
neutron detector

--- Table of Contents ---
1. Introduction
2. Methodology
2.1. Data generation and preparation
2.2. Multiplicity determination
2.3. ‘‘Hit’’ selection
2.4. Reference algorithms
3. Performance of multiplicity determination
2.5. Sources of uncertainties
4. ‘‘Hit’’ selection performance
6. Conclusion

--- Extracted Keywords from Textbody ---
emitted neutrons always produce signals inthe detector
neutron energy range around 200 mev
currently used geant4 physics lists toreduce
improvement ofthe present dnn algorithm
neuland neutron detector ispresented
connected deep neural networks
properly classify eventsand clusters
new machine learning algorithm
new algorithm uses densely
realized using onlyneuland data
physics lists used
neutronscattering angle reconstruction
neuland vary quite
allows accurate reconstruction
require high precision
detected neutrons
new algorithm
detector ).
geant4 simulations
used algorithms
