Software realization of real-time neutrons and γ-rays pulse shape discrimination using CUDA platform

Author

Kolbasin, Viacheslav A. ; Ivanov, Alexey I. ; Pedash, Vyacheslav Y.

Author_Institution

Inst. for scintillation Mater., Kharkov, Ukraine

fYear

2011

Firstpage

1

Lastpage

4

Abstract

The two pulse shape discrimination methods were implemented in real-time. The pulse gradient analysis method was implemented programmatically on PC. The method based on artificial neural network was programmatically implemented using CUDA platform. It is shown that both implementations can provide up to 10⁶ pulses per second processing performance. The results for pulse shape discrimination using polycrystalline stilbene and LiF detectors were shown.

Keywords

gamma-ray detection; high energy physics instrumentation computing; neural nets; neutron detection; parallel architectures; solid scintillation detectors; CUDA platform; artificial neural network; polycrystalline LiF detectors; polycrystalline stilbene detectors; pulse gradient analysis method; pulse shape discrimination methods; real time gamma-ray pulse shape discrimination; real time neutron pulse shape discrimination; software realization; Artificial neural networks; Detectors; Electronics packaging; Graphics processing unit; Instruction sets; Neurons; Shape;

fLanguage

English

Publisher

ieee

Conference_Titel

Advancements in Nuclear Instrumentation Measurement Methods and their Applications (ANIMMA), 2011 2nd International Conference on

Conference_Location

Ghent

Print_ISBN

978-1-4577-0925-8

Type

conf

DOI

10.1109/ANIMMA.2011.6172944

Filename

6172944