The DAQ System for a Beam Detection System Based on TPC-THGEM
文献类型：期刊论文
| 作者 | Ma S(马斯) ; Li F(李飞); Shen W(沈炜); Xie YG(谢宇广); Zhu KJ(朱科军); Ma, S; Li, F; Shen, W; Ning, Z; Xie, YG
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| 刊名 | 2016 IEEE-NPSS REAL TIME CONFERENCE (RT)
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| 出版日期 | 2016 |
| 关键词 | Data acquisition system TPC Beam detection |
| DOI | 10.1109/RTC.2016.7543133 |
| 通讯作者 | 马斯 |
| 文献子类 | Proceedings Paper |
| 英文摘要 | A beam detection system has been developed for tracks, position and energy calibration of electron, which consists of a TPC detector(1), a PDD2, a detector to be calibrated and a silicon-based energy detector. Its data acquisition(DAQ) system aims to realize readout, event built, online monitoring and reconstructing for 511 channels of TPC and 200 channels of PDD in 100Hz trigger rate provided by the electron beam device. In our design, the DAQ system is a small scale distributed system, which has been divided into two parts. One part communicates with readout electronics, based on client-server architecture, we call it ROS(Readout System). The other part receives sub-event from ROSs, merges and processes event data in each DAQ component based on DAQ-Middleware software framework, we named it ODP(Online Data Processing). The two parts running independently, which improves the performance, scalability and maintainability of the whole system. This paper will present the system and software architecture design, implement of the DAQ software and evaluation of its ROS performance. |
| 语种 | 英语 |
| WOS记录号 | WOS:000389775600063 |
| 源URL | [http://ir.ihep.ac.cn/handle/311005/260879]  |
| 专题 | 高能物理研究所_实验物理中心 |
| 作者单位 | 中国科学院高能物理研究所 |
| 推荐引用方式 GB/T 7714 | Ma S,Li F,Shen W,et al. The DAQ System for a Beam Detection System Based on TPC-THGEM[J]. 2016 IEEE-NPSS REAL TIME CONFERENCE (RT),2016. |
| APA | 马斯.,李飞.,沈炜.,谢宇广.,朱科军.,...&Zhu, KJ.(2016).The DAQ System for a Beam Detection System Based on TPC-THGEM.2016 IEEE-NPSS REAL TIME CONFERENCE (RT). |
| MLA | 马斯,et al."The DAQ System for a Beam Detection System Based on TPC-THGEM".2016 IEEE-NPSS REAL TIME CONFERENCE (RT) (2016). |
入库方式： OAI收割
来源：高能物理研究所
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