Background recognition rusing neural network methods

The Kohonen Self Organizing Neural Network has been used to recognize the background from secondary reactions in long CsI(Tl) crystals. It has been applied to the experimental data from the ASY-EOS campaign conducted at GSI, and allowed to reduce the background by 75%

Charged-particle flow measured with the KRATTA detector in the ASY-EOS experiment

The flow of light charged particles from the Au+Au reaction at 400 AMeV measured with the KRATTA detector is presented. The results are compared with the FOPI data

KRATTA, a triple telescope array for charged reaction products

KRATTA, a new, low threshold, broad energy range triple telescope array has been built to measure the energy, emission angles and isotopic composition of light charged reaction products. It has been equipped with fully digital chains of electronics. The array performed very well during the ASY-EOS experiment, conducted in May 2011 at GSI. The structure and performance of the array are presented using the first experimental results