Simulation of dielectric axion haloscopes with deep neural networks: a proof-of-principle

HIGHLIGHTS

• who: Philipp Alexander Jung from the RWTH Aachen University, Aachen, Germany have published the paper: Simulation of Dielectric Axion Haloscopes with Deep Neural Networks: A Proof-of-Principle, in the Journal: (JOURNAL)
• what: The authors show for the first time that modern deep learning techniques can be applied to aid the simulation and optimisation of dielectric haloscopes. In this work, however, the authors demonstrate a proof-of-principle that machine_learning methods are capable of reproducing the actual electromagnetic response of the experiment. To the usual measures of controlling overtraining, such as the aforementioned regularisation and . . .
  

   

  

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