Mohammad Javad Safari
Abstract
It is well-known that response function of organic scintillation detectors does not appear with photopeaks. Instead, their dominant feature is a continuum, usually called the Compton edge that innately exposes the resolution characteristics of detection system. ...
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It is well-known that response function of organic scintillation detectors does not appear with photopeaks. Instead, their dominant feature is a continuum, usually called the Compton edge that innately exposes the resolution characteristics of detection system. While, accurate characterization of Compton edge is crucial for calibration purposes, it is also in charge of elaborating the energy resolution of detector. This paper presents a simple method for accurate characterization of the Compton edge in organic scintillation detectors. The method is based on the fact that differentiating the response function leads to accurate estimation of the constituting functions. The differentiation method, in addition to the location of the Compton edge, gives insights into the parameters of the folded Gaussian function which could lead to depict the energy resolution. Moreover, it is observed that the uncorrelated noise in the measurement of the response function does not impose significant uncertainties in the evaluations, so it could preserve its functionality even in lower-quality measurements. By simulation of the bounded electrons and considering the Doppler effects, we are able to demonstrate -the first ever- estimation for intrinsic Doppler resolution of an organic plastic scintillator. Even though, this possibility is an immediate result of benefiting the presented method for analysis of the Compton continua.
Gholam Hossein Roshani; Alimohammad Karami; Ehsan Nazemi; Cesar Marques Salgado
Abstract
The used metering technique in this study is based on the dual energy (Am-241 and Cs-137) gamma ray attenuation. Two transmitted NaI detectors in the best orientation were used and four features were extracted and applied to the model. This paper highlights the application of ...
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The used metering technique in this study is based on the dual energy (Am-241 and Cs-137) gamma ray attenuation. Two transmitted NaI detectors in the best orientation were used and four features were extracted and applied to the model. This paper highlights the application of Adaptive Neuro-fuzzy Inference System (ANFIS) for identifying flow regimes and predicting volume fractions in gas-oil-water multiphase systems. In fact, the aim of the current study is to recognize the flow regimes based on dual energy broad-beam gamma-ray attenuation technique using ANFIS. In this study, ANFIS is used to classify the flow regimes (annular, stratified, and homogenous) and predict the value of volume fractions. To start modeling, sufficient data are gathered. Here, data are generated numerically using MCNPX code. In the next step, ANFIS must be trained. According to the modeling results, the proposed ANFIS can correctly recognize all the three different flow regimes, and other ANFIS networks can determine volume fractions with MRE of less than 2% according to the recognized regime, which shows that ANFIS can predict the results precisely.