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monitoring

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TUPPP14 The TileCal DCS Detector Control System controls, power-supply, hadron, laser 118
 
  • J. Pina, A. Gomes, C. N. Marques
    LIP, Lisboa
  • C. Alexa, G. Arabidze
    CERN, Geneva
  • M. Ouchrif
    Université Blaise Pascal, Clermont-Ferrand
  • A. Zenin
    IHEP Protvino, Protvino, Moscow Region
  TileCal is the barrel hadronic calorimeter of the ATLAS detector. The main task of the TileCal Detector Control System (DCS) is to enable the coherent and safe operation of the detector. All actions initiated by the operator and all errors, warnings and alarms concerning the hardware of the detector are handled by DCS. TileCal DCS design is being finalized, prototypes of most of the systems were already produced, and some components were already produced and installed in the detector. The low voltage control system is composed by several components with monitoring and control mostly based on the ATLAS developped ELMB boards. The high voltage system is based on the HV-micro boards developed by TileCal. A DCS system covering a small sector of the TileCal barrel was assembled and is already working in the ATLAS cavern, and by October we expect to have already a full partition equipped with low voltage, high voltage and cooling system.  
 
WEA2IS02 Beam Control and Monitoring with FPGA-Based Electronics: Status and Perspectives controls, damping, instrumentation 245
 
  • N. E. Eddy
    Fermilab, Batavia, Illinois
  Modern FPGAs support designs using roughly 106 logic gates, pipeline speeds exceeding 200 MHz, internal SRAM, dedicated multipliers for signal processing, clock generation using phase-locked loops, and a variety of single-ended and differential I/O standards, including fast serial links. When interfaced with high-speed ADCs, DACs, and other components commonly found in telecom applications, FPGAs facilitate a wide range of beam control and monitoring applications. Examples include beam-position measurement, low-level RF control, instability damping, and manipulation of accelerator timing signals. Once signals of interest are in digital form, an instrument's FPGA logic and memory provide a natural means to capture data for remote diagnosis–both of beam behavior and of the instrument itself. Finally, FPGA-based solutions provide a flexible, reconfigurable, and reusable toolkit for instrumentation: existing modules are often adapted to implement new applications, and useful code fragments can be quickly copied from design to design.  
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