Unlock instant, AI-driven research and patent intelligence for your innovation.

A Method of Searching for Weak Radioactive Sources in the Background Using Bayesian Analysis

A technology of radioactive source and analysis model, applied in the field of weak signal identification and radiation measurement

Active Publication Date: 2022-04-29
MATERIAL INST OF CHINA ACADEMY OF ENG PHYSICS
View PDF12 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Both processing methods involve the problem of weak signal detection, while motion detectors also involve the problem of rapidly changing background

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A Method of Searching for Weak Radioactive Sources in the Background Using Bayesian Analysis
  • A Method of Searching for Weak Radioactive Sources in the Background Using Bayesian Analysis
  • A Method of Searching for Weak Radioactive Sources in the Background Using Bayesian Analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0036] 1. Building a Bayesian model

[0037] The total count T measured by the detector is the sum of the source signal count S and the background count B, as shown in the following formula (1):

[0038] T=B+S(1).

[0039] Given a detector, in the source detection state ξ i The expected count rate μ of the source signal S in the lower detector is determined by the source intensity I and the distance r, let ξ i =I / r 2 , the following formula (2) is obtained:

[0040]

[0041] In the formula, A is the cross-sectional area of ​​the detector; η e is the intrinsic detection efficiency of the detector; D is the intrinsic detection characteristic parameter of a given detector, which depends on the detection cross-sectional area and intrinsic detection efficiency.

[0042] The source signal count S obeys the probability density distribution P. When the source signal is weak and the background count is small, due to the influence of statistical fluctuations, the actual source ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a method for using Bayesian analysis to search for weak radioactive sources in the background, which belongs to the field of radiation measurement, especially the field of weak signal identification, and aims to solve the difficult problem of analyzing and searching weak signal sources. It includes the following steps: (1) establish a Bayesian analysis model, and establish a likelihood function according to the relationship between the data sample and the parameters to be inferred; (2) provide the prior distribution and data of the parameters to be inferred; Luo inference obtains the inferred distribution of the parameters; based on the inferred distribution, the probability of the presence of weak radioactive sources in the background is obtained. Based on the improved method, the inventor uses Bayesian analysis to analyze the collected data, and then infers the position of the source and the distance between the moving line of the detector, so as to give whether the source exists, the coordinates of the source, the source strength, etc. Key Information. The application can be used for analysis and search of weak signals, which is beneficial to improve search efficiency and obtain key information of weak signals, and has important application value.

Description

technical field [0001] The invention relates to the field of radiation measurement, in particular to the field of weak signal identification, in particular to a method for searching for weak radiation sources in a background by using Bayesian analysis. Background technique [0002] Under the current international situation, the risk of nuclear proliferation still exists, and the global challenge of climate change makes nuclear energy indispensable in energy allocation. At the same time, nuclear fuel transactions increase the risk of nuclear proliferation. In addition, radioactive sources are lost or stolen from time to time. For example, on April 2, 1998, a cement Co., Ltd. in Haiyang City, Shandong Province found that the γ-ray level gauge was equipped with 60 The lead can of Co was stolen, the source activity was 3.7×10 8 Bq; 9 days after the source is lost, it will be recovered at the scrap collection point. On February 6, 2004, the First Northwest Electric Power Cons...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G01T1/169G01T1/167G06N7/00G06N5/04G06F17/18
CPCG01T1/169G01T1/167G06N5/041G06F17/18G06N7/01
Inventor 张宏俊文继莫钊洪任忠国许清华汪小东熊忠华帅茂兵
Owner MATERIAL INST OF CHINA ACADEMY OF ENG PHYSICS