A dataset for the CNN-based Remote α/β Detection System
Published: 27 October 2025| Version 1 | DOI: 10.17632/cfgc974nwp.1
Contributor:
Zeqian WuDescription
This is the dataset for training and testing the CNN in the Remote α/β Detection System. It contains Geant4 input parameters, photon count matrices, and annotated activity/location information. The dataset comprises 100,000 samples, with 80,000 allocated for training and 20,000 for testing.
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Categories
Hazardous Material, Radiation Detection