The Run II Data Acquisition (DAQ) system of the CDF Detector at Fermilab's Tevatron accelerator has been operational since July 2001. CDF DAQ has collected over 350 inverse picobarns of proton-antiproton collision data with high efficiency. An overview of the design of the pipelined, deadtime-less trigger and data acquisition system will be presented. CDF can receive and process a maximum crossing rate of once per 132 ns, with the rate reduced in three stages to the final output of approximately 1 to 2 terabytes per day. The DAQ system is controlled and monitored via a suite of Java based control software, with connections to front end VME crate processors running VxWorks/C and back end Oracle databases. Included are a flexible and easy to use Run Control java application and associated system monitoring applications, both stand-alone and web based. The performance and operational experience of three years will be presented, including data taking efficiencies and through-put, and the role of intelligent software in tagging and solving problems. We also review future upgrades designed to increase data collection rates to cope with increased Tevatron luminosity.

"CHEP (Computing in High Energy Physics) is the largest international meeting of the communities of High Energy Physics, Computing Science and the Computing Industry. The sixth conference in this series was held in Rio de Janeiro, Brazil in September 1995. The focus of the conference was "Computing for the next Millennium". High Energy Physics is at a point where major changes in the way data acquisition and computing problems are addressed will be called for in the high energy physics programs of the year 2000 and beyond. The conference covered a wide spectrum of topics including Data Access, Storage, and Analysis; Data Acquisition and Triggering; Worldwide Collaboration and Networking; Tools, Languages, and Software Development Environments; and special purpose processing systems. The papers presented both recent progress and radical approaches to computing problems as candidates for the basis of future computing in the field of high energy physics."--Provided by publisher

This book describes the fundamentals of data acquisition systems, how they enable users to sample signals that measure real physical conditions and convert the resulting samples into digital, numeric values that can be analyzed by a computer. The author takes a problem-solving approach to data acquisition, providing the tools engineers need to use the concepts introduced. Coverage includes sensors that convert physical parameters to electrical signals, signal conditioning circuitry to convert sensor signals into a form that can be converted to digital values and analog-to-digital converters, which convert conditioned sensor signals to digital values. Readers will benefit from the hands-on approach, culminating with data acquisition projects, including hardware and software needed to build data acquisition systems.