Cosmic ray muon scattering imaging method, system and equipment
Calculate the most 3D scattering traces of muons through Bayesian inference and particle multiple library scattering distribution function, which solves the problem of low image reconstruction accuracy in cosmic ray muons scattering imaging system, and realizes high-quality scattering density image reconstruction.
Patent Information
- Application Number
- CN202510932924.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-08
- Publication Date
- 2025-08-05
- Estimated Expiration
- 2045-07-08
AI Technical Summary
In the prior art, the image reconstruction quality of the cosmic ray muon scattering imaging system is limited by the position resolution and area of the scattering system. It is difficult for traditional algorithms to efficiently utilize scattering information, resulting in low accuracy of the reconstruction image.
Using Bayesian inference and particle multiple library scattering distribution functions, we calculate the most 3D scattering traces of muons in the area to be imaged, and reconstruct the scattering density image based on muon direction information.
It improves the utilization efficiency of muson events, prevents the scattering point from detaching the imaging area, improves the quality of the scattering density image, and better fits the real scattering track.