Artificial Neural Networks and their application in nuclear physics exemplified by the background reduction for the KRATTA Detecting System

Description
An artificial neural network is a computational model inspired by the nature. Nowadays many models exist which find application in various fields of investigation, including nuclear physics. In this talk the basics of the artificial neural networks and examples of their usage mainly in nuclear physics will be presented. Finally, results of the background reduction for the KRATTA detecting system will be shown. KRATTA is a triple-chip telescope in which the innovative Single Chip Telescope (SCT) technique was applied. Together with CHIMERA, LAND, ALADIN Time of Flight Wall and microBall, KRATTA was used in the ASY-EOS experiment conducted in 2011 at the GSI facility in Germany.