Bochum 2009 – scientific programme
Parts | Days | Selection | Search | Downloads | Help
HK: Fachverband Hadronen und Kerne
HK 19: Accelerators and Instrumentation II
HK 19.4: Talk
Monday, March 16, 2009, 17:45–18:00, H-ZO 90
Photon/Neutron Discrimination with Digital Pulse Shape Analysis* — •Bastian Löher1, M. Miklavec2, N. Pietralla1, D. Savran1, and M. Vencelj2 — 1Institut für Kernphysik, Technische Universität Darmstadt, Darmstadt, Germany — 2Institut Jožef Stefan, Ljulbjana, Slovenia
The discrimination of photons against neutrons is a long-standing issue in nuclear instrumentation. The availability of powerful digital hardware makes it possible to use self learning algorithms to find signal classes. The research in this field is a fundamental necessity for a wide range of experimental applications.
In this work digital pulse shape discrimination is implemented based on a Fuzzy C-Means Clustering algorithm [1]. This way the determination of signal classes is achieved offline in an automated and universally applicable manner. The suitability of this algorithm for discrimination was validated using TOF measurements. The dependence of the Figure of Merit on external parameters such as detector high voltage, ADC sampling rate and bit resolution was investigated.
[1] R. O. Duda, P. E. Hart and D. G. Stork: Pattern Classification. John Wiley and Sons Inc., 2nd Ed., New York 2001
* Supported by DFG (SFB 634)