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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
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.
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.
