In this study, we constructed and compared the performance of one-stage detection algorithms with the representative YOLO (You Only Look Once) framework and ...
Cluster-Locating Algorithm Based on Deep Learning for Silicon Pixel ...
pubmed.ncbi.nlm.nih.gov › ...
Apr 28, 2023 · The application of silicon pixel sensors provides an excellent signal-to-noise ratio, spatial resolution, and readout speed in particle physics ...
Apr 11, 2023 · In this study, we constructed and compared the performance of one-stage detection algorithms with the representative YOLO (You Only Look Once) ...
Therefore, high-performance cluster-locating technology is highly required in CMOS-sensor-based systems to compress the data volume and improve the accuracy and ...
Sep 14, 2023 · Cluster-Locating Algorithm Based on Deep Learning for Silicon Pixel Sensors. #1. Fatai Mai(. Beijing, GUCAS and; Lanzhou, Inst. Modern Phys ...
ABSTRACT: A novel technique to identify and split clusters created by multiple charged particles in the ATLAS pixel detector using a set of artificial neural ...
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We present a neural network that can be embedded into the on-sensor readout and filter out hits from low momentum tracks, reducing the detector's data volume ...
Nov 11, 2021 · In the ATLAS and CMS detectors, this is achieved using silicon sensors that are finely segmented in one or two directions and are called strips.
Cluster-Locating Algorithm Based on Deep Learning for Silicon Pixel Sensors · Fatai MaiHaibo Yang +4 authors. Chengxin Zhao. Physics, Computer Science. Sensors.
2023, Journal of Instrumentation. Cluster-Locating Algorithm Based on Deep Learning for Silicon Pixel Sensors. 2023, Sensors. View full text. © 2022 Published ...