HIGHLIGHTS
- who: Nural Akchurin and colleagues from the Advanced PArticle Detector Laboratory, Department of Physics and Astronomy, Texas Tech University, Lubbock, TX, USA have published the paper: The (Un)reasonable Effectiveness of Neural Network in Cherenkov Calorimetry, in the Journal: Instruments 2022, 6, 43. of /2022/
- what: The authors report a greater than factor of two improvement in the hadronic energy resolution of a simulated calorimeter by estimating the energy with machine learning over traditional techniques. The authors explore ways of overcoming this limitation for future experiments in this paper.
- how: The authors simulated . . .
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