Artificial Intelligence

Simulated near-field radioactive source localization in 3D with Coded Aperture and Convolutional Neural Networks

Coded Aperture γ-cameras have been extensively used in applications ranging from astrophysics to nuclear medicine for imaging radioactive source distributions. These devices allow the identification of the direction of γ-emitters by analyzing the …

A machine learning approach in the estimation of a radioactive source position using a coded aperture device

Coded Aperture γ-cameras have been used for more than three decades for imaging radioactive source distributions encountered in astrophysics, in decommissioning of nuclear facilities, and in nuclear medicine. These devices enable the identification …

Radioactive source localization using a data driven MVA method

We present a small form factor (0.5 cm3) static CdZnTe (CZT) sensor network consisted of a number of Non Directional Detectors (NDD) capable to localize a stationary radiation source in 3D. The localization is performed with fusion algorithms based …

Neutral Pion rejection for isolated and unconverted photon candidates using CMS ECAL and Preshower detector

Applying a general Artificial Neural Network approach, the possibility to discriminate neutral pions (π0) from photons was studied using information from both ECAL and Preshower subdetectors. For unconverted particles the obtained neutral pion …