Scintillation Pulse Digitization With Undersampling Energy Correction
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Solution Overview
Problem
Inaccurate energy measurement in ionizing radiation detection due to inaccuracy of fitting models or pulse characteristics description in prior information-based undersampling pulse energy acquisition systems.
Innovation Solution
A method for digitalizing scintillation pulses involves acquiring a pulse database from detectors irradiated by rays of different energies, sampling and quantizing pulses to obtain complete energy information, and using this information to correct energy measurements obtained by prior information-based undersampling methods through energy mapping relationships.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If prior information-based undersampling pulse energy acquisition method is used, then cost and power consumption are reduced, but measurement precision deteriorates due to inaccuracy of fitting models or pulse characteristics description
Solution Approach 1:
The patent performs preliminary action by collecting pulse data under various conditions (different energies, temperatures, biases) before actual measurement, and pre-calculates correction coefficients. This allows the system to use simple undersampling during operation while maintaining accuracy through pre-computed corrections that account for model inaccuracies and environmental variations.
Solution Approach 2:
The patent implements feedback by using a reference detector with known characteristics to provide correction data. The system continuously compares the performance of the simple detector against the reference detector and applies correction coefficients to compensate for deviations, thereby maintaining measurement precision while using low-power undersampling methodology.
2Device complexity
If prior information-based undersampling pulse energy acquisition method is used, then device complexity is reduced, but measurement precision deteriorates due to inaccuracy of fitting models
Solution Approach 1:
The patent introduces a reference detector as an intermediary element that provides correction data. This reference detector with known and stable characteristics acts as a mediator between the simple undersampling system and the accurate measurement requirement, enabling the simple system to achieve accurate results through correction coefficients derived from the reference detector's reliable measurements.
Solution Approach 2:
The patent applies parameter changes by systematically varying operating conditions (energy levels, temperatures, biases) during the calibration phase to pre-calculate correction coefficients for different scenarios. This allows the simple undersampling system to adapt to different conditions while maintaining accuracy without requiring complex real-time adjustments during actual measurement.
3Measurement precision
If traditional analog integral shaping circuit is used, then measurement precision is improved, but device complexity increases and ease of operation deteriorates due to environmental sensitivity and adjustment requirements
Solution Approach 1:
The patent replaces the mechanical/analog integral shaping circuit with a digital signal processing approach. Instead of using analog components that are sensitive to environmental factors and require manual adjustment, the system uses digital algorithms to perform pulse processing and energy calculation, eliminating the need for physical circuit adjustments and reducing environmental sensitivity.
Solution Approach 2:
The patent creates a universal digital processing system that can handle multiple detector types and operating conditions through software configuration rather than hardware reconfiguration. The correction coefficient methodology provides a universal solution that works across different energies, temperatures, and biases without requiring physical circuit adjustments, thereby improving ease of operation and maintenance.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This method ensures accurate energy measurement by correcting errors caused by inaccurate pulse models and characteristics, improving the precision of energy information acquisition in ionizing radiation detection.
Implementation Method 1
a scintillation detector outputting a pulse signal in response to the ionizing radiation
Data Source
Figure 1
Figure 2~3
Figure 4~5
AI summary
A method for digitalizing a scintillation pulse, the method comprising the steps: acquiring a pulse database output by a detector under different energy ray irradiations (S1); sampling and quantizing every pulse in the pulse database of the step (S1), to acquire complete energy information included in the pulse (S2); undersampling and quantizing every pulse in the pulse database obtained in the step (S1), and using pulse prior information to estimate or fit energy information (S3); with the energy information obtained in the step (S2) used as standards, determining the mapping relationship of the energy information obtained by a prior information-based undersampling pulse energy acquisition method and obtained by the method of the step (S2) (S4); and utilizing the energy mapping relationship to correct the energy information obtained by the prior information-based undersampling pulse energy acquisition method (S5). By means of the solution, the energy calculation errors caused by an inaccurate pulse model in the prior information-based undersampling pulse energy acquisition method can be corrected.