CREAM (Cosmic Ray Energetics And Mass) is a multi-flight balloon mission designed to collect direct data on the elemental composition and individual energy spectra of cosmic rays. Two instrument ...suites have been built to be flown alternately on a yearly base. The tungsten/Sci-Fi imaging calorimeter for the second flight, scheduled for December 2005, was calibrated with electron and proton beams at CERN. A calibration procedure based on the study of the longitudinal shower profile is described and preliminary results of the beam test are presented.
These proceedings collect the presentations given at the first three meetings of the INFN "Workshop on Monte Carlo's, Physics and Simulations at the LHC", held at the Frascati National Laboratories ...in 2006. The first part of these proceedings contains pedagogical introductions to several basic topics of both theoretical and experimental high pT LHC physics. The second part collects more specialised presentations.
These proceedings collect the presentations given at the first three meetings of the INFN "Workshop on Monte Carlo's, Physics and Simulations at the LHC", held at the Frascati National Laboratories ...in 2006. The first part of these proceedings contains pedagogical introductions to several basic topics of both theoretical and experimental high pT LHC physics. The second part collects more specialised presentations.
We present a pipeline of associative memory boards for track finding, which satisfies the requirements of level two triggers of the next LHC experiments. With respect to previous realizations, the ...pipelined architecture warrants full scalability of the memory bank, increased bandwidth (by one order of magnitude), increased number of detector layers (by a factor 2). Each associative memory board consists of four smaller boards, each containing 32 programmable associative memory chips, implemented with low-cost commercial FPGA. FPGA programming has been optimized for maximum efficiency in terms of pattern density and PCB design has been optimized in terms of modularity and FPGA chip density. A complete AM board has been successfully tested at 40 MHz, and can contain 6.6/spl times/10/sup 3/ particle trajectories.
The Data Organizer is part of a real-time tracker for hadronic collider experiments. It constitutes the tracker interface towards the Data Acquisition (DAQ): a high-speed data-traffic node, where ...thousands of words are received and simultaneously organized in an internal structured database, to be later promptly retrieved and delivered in response to specific requests. It is capable to process data at a rate of 40 MHz, thanks to the use of fast and very dense devices like IDT Supersync II FIFOs, Samsung fast SRAMs, and programmable logic from Xilinx XC9500XV and VIRTEX families. The programmability allows easy upgrade, evolution and fast reconfiguration to adapt the interface to different trigger and DAQ needs. The hardware-dedicated structure optimizes speed, size and cost.
Perspective for precise and fast track reconstruction in future hadronic collider experiments are addressed. We discuss the feasibility of a pipelined highly parallelized processor dedicated to the ...implementation of a very fast algorithm. The algorithm is based on the use of a large bank of pre-stored combinations of trajectory points (patterns) for extremely complex tracking systems. The CMS experiment at LHC is used as a benchmark. Tracking data from the events selected by the level-1 trigger are sorted and filtered by the Fast Tracker processor at a rate of 100 kHz. This data organization allows the level-2 trigger logic to reconstruct full resolution tracks with transverse momentum above few GeV and search secondary vertexes within typical level-2 times.
The R&D of silicon micro-strip detectors for CMS able to survive a radiation environment with fluxes above 10/sup 14/ particles per cm/sup 2/ has started since few years. Micro-strip detectors have ...been studied before and after irradiation performed with different sources and doses. The analysis of the experimental data helps to optimise the design of detectors which can be operated efficiently during LHC lifetime.
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