Global track finding based on the Hough transform in the STCF detector

2024/12/19 by Hang Zhou, Zhou, Hang, Kexin Sun +13 · 1 citation
Engineering · Computer Science · #Astronomical Observations and Instrumentation #Image and Object Detection Techniques

paper · pdf · doi:10.48550/arxiv.2412.14687

Abstract

The proposed Super Tau-Charm Facility (STCF) is an electron-positron collider designed to operate in a center-of-mass energy range from 2 to 7 GeV. It provides a unique platform for physics research in the tau-charm energy region. To fulfill the physics goals of STCF, high tracking efficiency and good momentum resolution is required for charged particles with momenta from 50 MeV/c to 3.5 GeV/c. A global track finding algorithm based on Hough transform has been developed and implemented in the STCF software framework to meet this requirement. The design of the algorithm and its performance with simulation are presented in this paper.

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• Noise Filtering Algorithm Based on Graph Neural Network for STCF Drift Chamber

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