Gamma radiation source item inversion method and system based on regularized least square method
A technique of least squares and gamma radiation, applied in the field of gamma radiation source term inversion methods and systems, and can solve problems such as large normal matrix condition numbers
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0102] Take the estimation of complex gamma radiation source items as an example to illustrate. Among them, the source item is divided into 15 regions, and the detector measurement point data is 20, and the dose rate contribution matrix E is calculated by the Monte Carlo method. According to the performance characteristics of the detector used for dose rate measurement (equipment relative inherent error, direction response, energy response, statistical fluctuation and other factors) and on-site measurement conditions, determine the error level of dose rate measurement data, and determine the optimal Regularization parameters. Then, according to the ML-EM algorithm, the inversion results (relative share) of the source term are shown in Table 1 under the conditions of no regularization and regularization.
[0103]
[0104] Table 1
[0105] It can be seen from Table 1 that when regularization is not used, due to model overfitting, the relative share between some adjacent blo...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com