Speaker
Miguel Barros
(IST)
Description
Radioactive sources provide many benefits throughout the world, in industry, medicine and science. Accidents involving radioactive sources as well as illicit trafficking in radioactive materials have raised awareness of the nuclear security risks. The main objective of this work is to detect hot-spots with radioactive sources using data acquired by multiple Geiger-Müller counters and geo-referenced by GPS receivers, which involves the estimation of the radioactive sources coordinates and quantification of the energy of each source. The algorithms are based on machine learning algorithms, such as Neural Networks and Deep Learning. Experimental results are expected in old deposits of radioactive ore for uranium production.
Author
Miguel Barros
(IST)
