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The Collider Detector at Fermilab (CDF) is a general purpose experiment for the study of collisions at the Tevatron Collider, located in Batavia, IL USA.The detectors observe the collisions taking place at their centers and record all the available information for later analysis. Since the collision rate is much higher (7.6 MHz) than the rate at which data can be stored on tape (~100Hz), a particularly difficult task at CDF is the selection of interesting events that are to be recorded permanently. This task is performed by the "Trigger". Even though the CDF trigger is the most powerful…mehr

Produktbeschreibung
The Collider Detector at Fermilab (CDF) is a general purpose experiment for the study of collisions at the Tevatron Collider, located in Batavia, IL USA.The detectors observe the collisions taking place at their centers and record all the available information for later analysis. Since the collision rate is much higher (7.6 MHz) than the rate at which data can be stored on tape (~100Hz), a particularly difficult task at CDF is the selection of interesting events that are to be recorded permanently. This task is performed by the "Trigger". Even though the CDF trigger is the most powerful existing today, it needs continuous upgrades since the Tevatron working conditions become each day more demanding, requiring more powerful processing units. The monograph describes an important upgrade (performed in the year 2007) that allows the CDF experiment to be more competitive in the search for the Higgs particle. This upgrade achieves supercomputer-class performance using a mixture of technologies applied to different parts of the CDF detector. The system was designed, approved, produced, tested and installed six months after the approval.
Autorenporträt
Mario Innocenti received the PhD degree in Aeronautics and Astronautics from Purdue University, Indiana in 1983. He is currently full professor of automatic control at the University of Pisa. Adrian Rogondino ( former student at the Scuola Superiore S.Anna) received his MS degree in Automation Engineering in 2007 from the University of Pisa.