Font Size: a A A

α、β Radiation Detection Technology Research And System Implementation

Posted on:2015-02-12Degree:MasterType:Thesis
Country:ChinaCandidate:Y J X YangFull Text:PDF
GTID:2252330428458906Subject:Signal and Information Processing
Abstract/Summary:PDF Full Text Request
As the application of nuclear technology research attention, more and more nuclear technology has been widely used in various fields of industrial production and life in recent years. Nuclear technology to bring development and economic life convenient, but an excess of nuclear radiation will cause harm to humans and threaten human health. Therefore, the screening for radiation protection and properties of particles become a hot research topic, and as the most common a/β radiation whose detection and the screening was quickly performed by majority of scientific researchers and production practices. In this paper, based on the existing a/β radiation particle detection screening technology improvements, designed detection system using the screening method by a pulse shape that is high count rate, low cross track ratio the high-speed.Thesis uses a modified fuzzy C-means clustering algorithm to achieve the a/β radiation pulse shape recognition, and uses the hardware circuitry for conditioning signals to achieve the integrity of the monitoring system. First of all, using surface coated with ZnS (Ag) of plastic scintillated detector to collect radiation particles signal. Then the radiated signal is subjected to analog signal processing by conditioning circuitry. Using power modules, high voltage module, amplifier module and shaping module for radiation particles signal amplification, filtering, de-noising respectively, converted to a high signal to noise ratio for subsequent data processing and debug signals are collected by data acquisition card.Finally,a/β radiation particle data is sent to the PC platform for the detection of the pulse shape discrimination after commissioning. For the traditional fuzzy C-means clustering algorithm, the paper made the following improvements:The randomly selected cluster centers changed into through the waveform characteristics of the radiated particles were selected with a purpose; Uses a weighted approach allows the clustering results more apparent.Through the a/β particle radiation detection systems and tests showed that the system reduces the number of iterations, shorten the running time and improve the radiated particle count rate, lower cross track ratio between the particles, so it will have a wide range of applications in the field of particle detection.
Keywords/Search Tags:α/β, FCM, Pulse shape discrimination, Cluster centers, Cross track ratio
PDF Full Text Request
Related items