Speaker
Description
Simultaneous measurement of interaction position and energy is essential for semiconductor gamma imagers, but optimizing detection efficiency, energy resolution, and spatial resolution presents a significant challenge due to competing trade-offs among noise, signal induction, and readout electronics. While techniques such as cathode readout, pulse shape analysis, and multi-anode readout have been employed for pixelated CdZnTe detectors, digitized signal processing is increasingly leveraged to enhance performance.
To achieve a tileable and modular system, we adopt an anode-only readout scheme combined with multi-anode signal acquisition. Through detailed simulations and digital signal analysis, we investigate the physical factors governing performance, validating our approach with consistent experimental results. This enables a systematic study of signal processing optimization while assessing the impact of key parameters (including readout architecture, detector geometry, bias voltage, and material properties) on spatial and energy resolution.
Finally, we correlate these detector-level optimizations with imaging performance in a high-resolution coded-aperture system, discussing the relative contributions of detection efficiency, spectral and spatial resolution to overall image quality.