Fast array-based particle coincidence detection in a TimePix3-based velocity map imaging instrument
Ian Gabalski, Eleanor Weckwerth, Chuan Cheng, Philip H. Bucksbaum

TL;DR
This paper introduces a fast, array-based algorithm for processing TimePix3 detector data in velocity map imaging, enabling real-time, high-resolution particle coincidence detection at high repetition rates.
Contribution
The paper presents a novel, GPU-accelerated array-based centroiding algorithm that significantly improves processing speed and hit discrimination in VMI experiments using TimePix3 detectors.
Findings
Data processing is 25 times faster than data acquisition at 1 kHz.
The algorithm localizes particle hits better than a single pixel.
TimePix3 outperforms delay line detectors in multi-hit discrimination.
Abstract
With the development of high repetition rate laser sources and advanced multi-particle correlation analyses such as covariance mapping, particle detection techniques such as velocity map imaging (VMI) are poised to offer unprecedented views into molecular phenomena. Taking full advantage of the high count rates in these experiments requires the development of detectors with sufficient spatial and temporal resolution that can process data in real time. The TimePix3 camera (TPX3CAM) is an event-based pixel detector capable of spatio-temporally localizing many simultaneous particle hits in an efficient manner. While the sparse nature of the data stream allows for compact representation of particle hits, it also presents algorithmic and computational challenges for clustering individual pixels into hits. Here we present the theory and application of a rapid data processing and centroiding…
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Taxonomy
TopicsPhotocathodes and Microchannel Plates · Advanced Electron Microscopy Techniques and Applications · Radiation Therapy and Dosimetry
