Neutron Camera Row Column Summation Precision

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Solution Overview

Problem

Current neutron detection systems, such as Anger cameras, face challenges in accurately identifying event locations with high precision and uniformity while maintaining cost-effectiveness, particularly in neutron scattering applications.

Innovation Solution

The implementation of a neutron camera employing row and column summation algorithms, which includes a scintillator plate and detector units with photomultiplier tubes, preamplifiers, and signal conversion circuitry to generate and analyze summation signals, allowing for precise event location identification through time-integrated sums of row and column histograms.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional Anger camera methods are used for neutron detection, then the system structure is simpler, but the event location identification precision and uniformity deteriorate

Engineering Contradiction:
Improveevent location identification precisionVSAvoidsystem structure complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The photomultiplier tube output matrix is segmented into row groups and column groups, with each group processed by dedicated summation circuits. This segmentation transforms the complex task of identifying event locations in a large matrix into simpler one-dimensional summation problems along rows and columns, thereby improving location precision while managing system complexity through structured division

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The invention reduces the two-dimensional event location identification problem into two separate one-dimensional problems by projecting the light distribution pattern onto row and column summation histograms. This dimensionality reduction transforms complex 2D pattern recognition into simpler 1D histogram analysis, improving measurement precision while reducing computational and circuit complexity

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

2Measurement precision

If detailed analysis of all photomultiplier tube outputs is performed, then event location precision improves, but signal processing time increases

Engineering Contradiction:
Improveevent location precisionVSAvoidsignal processing time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

Row and column summation histograms are pre-computed from the photomultiplier tube output matrix before detailed event location analysis. This preliminary action organizes the data into structured one-dimensional distributions that facilitate faster subsequent analysis, reducing the time required for precise event location identification while maintaining accuracy

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The invention transforms the two-dimensional light distribution pattern into two separate one-dimensional histograms (row and column summations). This dimensionality change reduces the computational complexity from analyzing a 2D matrix to analyzing two 1D arrays, significantly reducing signal processing time while preserving event location precision through the preserved spatial information in the histograms

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

3Reliability

If conventional detection methods are used, then system cost is lower, but uniformity of detection performance deteriorates

Engineering Contradiction:
Improvedetection uniformityVSAvoidcircuit complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The detection system is segmented into independent row summation circuits and column summation circuits, each processing specific portions of the photomultiplier tube output. This segmentation ensures uniform processing characteristics across different regions of the detector, improving detection uniformity while managing circuit complexity through modular, repetitive circuit designs that can be standardized and mass-produced

Inventive Principle:
Principle #1Segmentation

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 approach enhances signal processing speed, reduces parallax errors, and improves uniformity, enabling effective neutron detection with lower costs and improved performance compared to traditional methods.

Implementation Method 1

a scintillator plate and at least one detector unit. Each of the at least one detector unit includes a photomultiplier tube located on a back side of the scintillator plate

Methodology Applied
Scientific EffectScintillation: Scintillation

Implementation Method 2

Each of the at least one detector unit includes a photomultiplier tube located on a back side of the scintillator plate and including an R×S matrix of outputs

Methodology Applied
Scientific EffectPhotoelectric effect: Photoelectric Effect

Data Source

PatentUS9366769B2Neutron camera employing row and column summations
Publication Date: 2016.06.14 UT BATTELLE LLC
  • US9366769B2 patent drawing
  • US9366769B2 patent drawing
  • US9366769B2 patent drawing

AI summary

For each photomultiplier tube in an Anger camera, an R×S array of preamplifiers is provided to detect electrons generated within the photomultiplier tube. The outputs of the preamplifiers are digitized to measure the magnitude of the signals from each preamplifier. For each photomultiplier tube, a corresponding summation circuitry including R row summation circuits and S column summation circuits numerically add the magnitudes of the signals from preamplifiers for each row and for each column to generate histograms. For a P×Q array of photomultiplier tubes, P×Q summation circuitries generate P×Q row histograms including R entries and P×Q column histograms including S entries. The total set of histograms include P×Q×(R+S) entries, which can be analyzed by a position calculation circuit to determine the locations of events (detection of a neutron).