Neural networks trained on 3D energy deposition maps recover signal fraction and photon multiplicity from simulated ultrafast pileup, outperforming depth-ratio baselines.
Principles and applications of x-ray light sources driven by laser wakefield acceleration,
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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.