PoS - Proceedings of Science
Volume 455 - International Conference on Particle Physics and Cosmology (ICPPCRubakov2023) - Parallel session Selected experimental results
Recent results on a machine learning approach to event position reconstruction in the DEAP-3600 Dark Matter Search Experiment
A. Ilyasov*  on behalf of the DEAP-3600 collaboration
Full text: pdf
Pre-published on: April 11, 2024
Published on: May 17, 2024
Machine learning is increasingly being applied in elementary particle physics, and the DEAP-3600 dark matter detector is no exception. One application of the new algorithm is the event position reconstruction in the detector. Here, we present updated results on the application of a fully-connected neural network for quality improvement. We also describe the structure of the neural network, its changes from the previous version, and a comparison with existing event position reconstruction algorithms.
DOI: https://doi.org/10.22323/1.455.0045
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