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Updated: Mar 30, 2026

Visualization of Low-Level Gamma Radiation Sources Using a Low-Cost, High-Sensitivity, Omnidirectional Compton Camera

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Spatial Pileup Considerations for Pixellated Gamma -ray Detectors.

L R Furenlid¹, E Clarkson¹, D G Marks¹

¹Department of Radiology and Optical Sciences Center, University of Arizona, Tucson, Arizona 85724.

IEEE Nuclear Science Symposium Conference Record. Nuclear Science Symposium

|November 17, 2015

Summary

This summary is machine-generated.

Spatial pileup in high-resolution gamma-ray detectors causes overlapping events. This study develops statistics and algorithms to identify and resolve these events, improving detector performance and data acquisition strategies.

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Last Updated: Mar 30, 2026

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Evaluation of the Spatial Distribution of γH2AX following Ionizing Radiation

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Published on: August 7, 2010

Area of Science:

Physics
Detector Physics
Signal Processing

Background:

High-spatial-resolution solid-state detectors for gamma-ray applications face challenges with charge diffusion.
Smaller pixel dimensions than detector thickness increase charge spreading to adjacent pixels.
This charge spreading magnifies event size and causes spatial overlap issues for closely spaced photon interactions.

Purpose of the Study:

To develop general statistics for spatial pileup in imaging systems.
To apply these statistics to cadmium zinc telluride (CdZnTe) detectors with multiplexing application-specific integrated circuit (ASIC) readout.
To explore limitations on count rate capacity and consequences for LISTMODE data acquisition.

Main Methods:

Development of general statistics for spatial pileup.
Application to CdZnTe detectors with ASIC readout.
Exploration of count rate limitations and LISTMODE data acquisition impacts.
Proposal of maximum-likelihood estimation algorithms for overlapping event identification and resolution.

Main Results:

Established general statistics for spatial pileup in imaging systems.
Identified limitations on total count rate capacity due to pileup.
Explored detailed consequences for LISTMODE data acquisition strategies.
Proposed algorithms for identifying and resolving overlapping events.

Conclusions:

Spatial pileup is a significant issue in high-resolution gamma-ray detectors.
Developed statistical framework and algorithms to address pileup.
Future work will validate algorithm efficacy and noise tolerance with simulated and experimental data.