Neural networks trained on 3D energy deposition maps recover signal fraction and photon multiplicity from simulated ultrafast pileup, outperforming depth-ratio baselines.
Impact of monoenergetic photon sources on nonproliferation applications final report,
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Machine learning methods for spectroscopic information recovery under ultrafast photon pileup
Neural networks trained on 3D energy deposition maps recover signal fraction and photon multiplicity from simulated ultrafast pileup, outperforming depth-ratio baselines.