Three-dimensional position reconstruction of orthogonal-strip planar high-purity germanium detectors using maximum likelihood estimation
Qiuli Zhang, Peng Zhang, Wenhhan Dai, Mingxin Yang, Yang Tian, Ming Zeng, Hao Ma, Zhi Zeng

TL;DR
This paper introduces a maximum likelihood estimation method for 3D position reconstruction in orthogonal-strip planar high-purity germanium detectors, significantly improving accuracy and noise resilience over traditional techniques.
Contribution
It presents a novel joint reconstruction approach using maximum likelihood estimation with integral-based parameters to enhance 3D position accuracy in HPGe detectors.
Findings
Reduced maximum Z reconstruction bias from 0.4 mm to 0.02 mm in the central region.
Mitigated resolution degradation under high-noise conditions.
Achieved position resolution between 0.07 mm and 0.44 mm depending on the direction.
Abstract
Orthogonal-strip planar high-purity germanium (HPGe) detectors can reconstruct three-dimensional (3D) positions of photon interactions through analysis of parameters extracted from multiple charge signals. The conventional method independently reconstructs positions in each dimension using amplitude-based parameters, leading to noise sensitivity and systematic biases. In this study, we propose a multi-parameter-joint reconstruction method based on maximum likelihood estimation (MLE) which establishes a mapping between pulse shape parameters and corresponding 3D positions. To mitigate the effects of electronic noise, we employ integral-based parameters. The reconstruction performance was evaluated using pulse shape simulations. For 100 keV photons under 1 keV root-mean-square (RMS) electronic noise, the maximum Z reconstruction bias was reduced from 0.4 mm to 0.02 mm in the central…
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Taxonomy
TopicsRadiation Detection and Scintillator Technologies · Medical Imaging Techniques and Applications · Particle Detector Development and Performance
