most citedA deep learning approach to multi-track location and orientation in gaseous drift chambers

6 citations · 6 across the 2 of their papers we have counts for

collaborators

2 papers

physics.data-an2020★ 6 cited

A deep learning approach to multi-track location and orientation in gaseous drift chambers

Pengcheng Ai, Dong Wang, Xiangming Sun +2

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…

physics.ins-det2020

Development of readout electronics a novel beam monitoring system for ion research facility accelerator

Honglin Zhang, Haibo Yang, Xianqin Li +7

This article presents the readout electronics of a novel beam monitoring system for ion research facility accelerator. The readout electronics are divided into Front-end Card (FEC)…