期刊论文

Sun, Xiangming;Huang, Guangming（黄光明）

英文

NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT

0168-9002

2020

984

164640

10.1016/j.nima.2020.164640

CRediT authorship contribution statement Pengcheng Ai: Conceptualization, Software, Data curation, Writing - original draft. Dong Wang: Writing - review & editing, acquisition. Xiangming Sun: Conceptualization, Methodology, Resources. Guangming Huang: Supervision, acquisition. Zili Li: Resources, Data curation.

本校为第一且通讯机构

Accurate measuring the location and orientation of individual particles in a beam monitoring system is of particular interest to researchers in multiple disciplines. Among feasible methods, gaseous drift chambers with hybrid pixel sensors have the great potential to realize long-term stable measurement with considerable precision. In this paper, we introduce deep learning to analyze patterns in the beam projection image to facilitate three-dimensional reconstruction of particle tracks. We propose an end-to-end neural network based on segmentation and fitting for feature extraction and regressi...