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Dryad

Synthetic urban gamma-ray spectra for training spectral detection and identification models

Data files

May 30, 2023 version files 2.32 GB

Abstract

This dataset contains training, validation, and testing data that consist of individual gamma-ray spectra from a synthetic urban radiological dataset. The spectra were generated by the Radiological Detection and Identification (RADAI) project and are from a simulated 2x4x16" NaI(Tl) detector traveling down a street in a simulated urban area. The background consists of realistic benchmarked terrestrial (K-40, U-238 series, Th-232 series), fallout (Cs-137), rain (Pb-214 and Bi-214), and cosmic gamma-ray events. The 24 anomalous sources are simulated point-like sources of various types, including enhanced naturally occurring radioactive material (NORM), medical isotopes, industrial isotopes, and special nuclear material (SNM). All simulations are performed in 3-D, so the effects of scattering from nearby objects and shielding by clutter are all included. The dataset is prepared so that all sources are encountered at a number of different locations and at a wide variety of strengths.