A Scalable DAQ System Based on the DRS4 Waveform Digitizing Chip

Hannes Friederich,G Davatz,Ueli Hartmann,A J Howard, Hanspeter Meyer, David Murer,S Ritt, Niklaus Schlumpf

IEEE Transactions on Nuclear Science(2011)

引用 18|浏览6
暂无评分
摘要
Many current and future experiments require the highest temporal resolution together with large numbers of channels in the data acquisition system (DAQ) for a minimum cost. The DRS4 waveform digitizing chip allows data sampling at up to 5 Giga-samples per second (GSPS) with high amplitude resolution. The domino wave sampling method offers a significant cost and power reduction compared to a traditional flash analog-to-digital converter (ADC). This work presents a new DAQ system based on the DRS4 chip that allows continuous digitization of analog signals at 120 Mega-samples per second (MSPS) with the possibility to sample a region of interest up to a rate of 5 GSPS, thereby allowing a long event record with small dead-time in the read-out. The signal-to-noise ratio (SNR) of the system is measured to be 9.3 bit for the 120 MSPS signal and 9.6 bit for the DRS4 readout signal. Arbitrarily complex trigger logic can be built entirely in the digital domain in the read-out field-programmable gate array (FPGA). A Gigabit Ethernet link provides high-speed connectivity from the DAQ board to the backend system. Built-in board-to-board communication and the modular design of the system offer great scalability and flexibility with respect to the number of supported data channels.
更多
查看译文
关键词
analogue-digital conversion,data acquisition,field programmable gate arrays,local area networks,nuclear electronics,drs4 waveform digitizing chip,gigabit ethernet link,cost reduction,data acquisition system,domino wave sampling method,field-programmable gate array,flash analog-to-digital converter,power reduction,scalable daq system,temporal resolution,analog-digital conversion,data aquisition,high-speed electronics,region of interest,bandwidth,signal to noise ratio,modular design,field programmable gate array,sampling methods,dead time,analog signals,chip
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要