3,071 research outputs found

    ParĂ lisi facial per sepsis bucal

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    Estenosi bucal cicatricial

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    Status of the Optical Multiplexer Board 9U Prototype

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    This paper presents the architecture and the status of the Optical Multiplexer Board (OMB) 9U for the ATLAS/LHC Tile hadronic calorimeter (TileCal). This board will analyze the front-end data CRC to prevent bit and burst errors produced by radiation. Besides, due to its position within the data acquisition chain it will be used to emulate front-end data for tests. The first two prototypes of the final OMB 9U version have been produced at CERN. Detailed design issues and manufacture features of these prototypes are described. Functional descriptions of the board on its two main operation modes as CRC checking and data ROD injector are explained as well as other functionalities. Finally, the schedule for next year when the production of the OMB will be take place is also presented

    A Complete Set of Firmware for the TileCal Read-Out Driver

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    TileCal is the hadronic tile calorimeter of the ATLAS experiment at LHC/CERN. The Read-Out Driver (ROD) is the main component of the TileCal back-end electronics. The ROD is a VME 64x 9u board with multiple programmable devices which requires a complete set of firmware. This paper describes the firmware and functionalities of all these programmable devices, especially the DSP Processing Units daughterboards where the data processing takes place

    On the development of the final optical multiplexer board prototype for the TileCal experiment

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    This paper describes the architecture of the final optical multiplexer board for the TileCal experiment. The results of the first VME 6U prototype have led to the definition of the final block diagram and functionality of this prototype. Functional description of constituent blocks and the state of the work currently undergoing at the Department of Electronic Engineering, in collaboration with IFIC-Valencia, is presented. As no board is yet produced, no experimental results are presented but, nevertheless, design issues that have been taking into account as component placement and signal integrity issues will be detailed

    Optical Buffer 1:16

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    This document is a manual describing the functionality and the operation of the Optical Buffer 1:16 (OB). The OB was specially designed to repeat optical signals during the TileCal Read-Out drivers (ROD) production. The data generated in one Optical Multiplexer Board (OMB) 6U prototypes were repeated with two OB in order to inject data simultaneously to four RODs

    Monte Carlo Performance of the TileCal Low pT Muon Identification Algorithm

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    This note describes the TileCal standalone low pT muon identification algorithm (TileMuId) developed to contribute to the Level-2 trigger. This algorithm is based on the characteristic muon energy deposition inside the calorimeter. The implementation of this algorithm in the core of the Digital Signal Processors (DSPs) in the TileCal Read-Out Drivers (RODs) is also discussed in this paper. The TileMuId performance with Monte Carlo data from single muons and bb events is shown in terms of efficiencies and fraction of fakes for both a fully Level-2 version and a ROD-based version of the algorithm

    ATLAS TileCal read-out driver system production and initial performance results

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    8 pages, 9 figures.-- ISI Article Identifier: 000251744500005The ATLAS Hadronic Tile Calorimeter detector (TileCal) is an iron-scintillating tiles sampling calorimeter designed to operate at the Large Hadron Collider accelerator at CERN. The central element of the back-end system of the TileCal detector is a 9U VME Read-Out Driver (ROD) board. The operation of the TileCal calorimeter requires a total of 32 ROD boards. This paper summarizes the tests performed during the ROD production and the results obtained. Data processing is performed in the ROD by digital signal processors, whose operation is based on the use of online algorithms such as the optimal filtering algorithm for the signal amplitude, pedestal and time reconstruction and the online Muon tagging algorithm which identifies low transverse momentum muons. The initial performance of both algorithms run during commissioning is also presented in this paper.This work was supported by the Spanish Technology and Science Commission under project FPA2003-09220-C02-02.Peer reviewe

    Setup, tests and results for the ATLAS TileCal Read Out Driver production

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    In this paper we describe the performance and test results of the production of the 38 ATLAS TileCal Read Out Drivers (RODs). We first describe the basic hardware specifications and firmware functionality of the modules, the test-bench setup used for production and the test procedure to qualify the boards. We then finally show and discuss the performance results

    Algorithms for the ROD DSP of the ATLAS hadronic Tile Calorimeter

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    10 pages, 10 figures.-- ISI Article Identifier: 000253651100003.Final full-text version available at: http://ific.uv.es/tical/doc/2007_02_12_JINST_2_T02001.pdfIn this paper we present the performance of two algorithms currently running in the Tile Calorimeter Read-Out Driver boards for the commissioning of ATLAS. The first algorithm presented is the so called Optimal Filtering. It reconstructs the deposited energy in the Tile Calorimeter and the arrival time of the data. The second algorithm is the MTag which tags low transverse momentum muons that may escape the ATLAS muon spectrometer first level trigger.Comparisons between online (inside the Read-Out Drivers) and offline implementations are done with an agreement around 99% for the reconstruction of the amplitude using the Optimal Filtering algorithm and a coincidende of 93% between the offline and online tagged muons for the MTag algorithm. The processing time is measured for both algorithms running together with a resulting time of 59.2 ÎŒs which, although above the 10 ÎŒs of the first level trigger, it fulfills the requirements of the commissioning trigger (~ 1 Hz). We expect further optimizations of the algorithms which will reduce their processing time below 10 ÎŒs.The authors acknowledge the help of Oleg Solovyanov, Giulio Usai, Sasha Solodkov, Tomas Davidek and the whole TileCal community.Peer reviewe
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