A comparison of neural networks and center of gravity in muon hit position estimation

HIGHLIGHTS

• who: Kadir Aktas and colleagues from the iCV Research Lab, Institute of Technology, University of Tartu, Tartu, Higher Education Institute, Yildiz Technical University, Istanbul, Turkey have published the article: A Comparison of Neural Networks and Center of Gravity in Muon Hit Position Estimation, in the Journal: Entropy 2022, 24, 1659. of /2022/
• what: The authors demonstrate that two deep-learning-based methods outperform the conventional CoG algorithm by a significant margin. The authors investigate how much one could increase the positional resolution by replacing CoG with deep neural_networks. The authors investigate the proposed method`s . . .
  

   

  

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