The Frascati National Laboratories are the largest INFN laboratory, with a long standing tradition in constructing and operating
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− storage rings and large size detectors. The present status of ...the experimental programs is reviewed, with special emphasis to
DAΦNE and its experiments.
The Project Sorgente Pulsata e Amplificata di Radiazione Coerente (SPARC), proposed by a collaboration among ENEA–INFN–CNR–Universita’ di Tor Vergata–INFM–ST, was recently approved by the Italian ...Government and will be built at LNF. The aim of the project is to promote an R&D activity oriented to the development of a coherent ultra-brilliant X-ray source in Italy. This collaboration has identified a program founded on two main issues: the generation of ultra-high peak brightness electron beams and of resonant higher harmonics in the SASE-FEL process, as presented in this paper.
Real time image analysis has undergone a rapid development in the last few years, due to the increasing availability of low cost computational power. However computing power is still a limit for some ...high quality applications. Highresolution medical image processing, for example, are strongly demanding for both memory (~250 MB) and computational capabilities allowing for 3D processing in affordable time. We propose the reduction of execution time of image processing exploiting the computing power of parallel arrays of Field Programmable Gate Arrays (FPGAs). We apply this idea to an algorithm that finds clusters of contiguous pixels above a certain programmable threshold and process them to produce measurements that characterize their shape. It is a fast general-purpose algorithm for high-throughput clustering of data "with a two dimensional organization". The two-dimensional problem is well processed by FPGAs since their available logic is naturally organized into a 2-dimensional array. The algorithm is designed to be implemented with FPGAs but it can also profit of cheaper custom electronics. The key feature is a very short processing time that scales linearly with the amount of data to be processed. This means that clustering can be performed in pipeline with the image acquisition, without suffering from combinatorial delays due to looping multiple times through the whole amount of data.
The gain monitoring system of the Aleph hadron calorimeter
Nuclear instruments and methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment/Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment,
08/1992
Journal Article
A study of low hydrocarbon content gas mixtures for streamer tubes
Nuclear instruments and methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment/Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment,
08/1989
Journal Article
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