Applying Machine Learning to Gamma-Hadron Separation in Gamma-Ray Astronomy
Researcher: Johannah Moepi, University of the Witwatersrand, Johannesburg
Supervisor: Professor Nukri Komin, University of the Witwatersrand, Johannesburg
With two types of EAS produced, the IACT’s detect both of them including the background events.
As such the IACT’s requires sophisticated image analysis that can be trained to distinguish gamma rays from the hadrons.