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DSP online algorithms for the ATLAS TileCal Read Out Drivers

DSP online algorithms for the ATLAS TileCal Read Out Drivers. Cristobal Cuenca Almenar IFIC (University of Valencia-CSIC). Outline. System overview Code structure Processing tasks Optimal Filtering Muon tagging Missing Et. ATLAS detector. . Hadronic Tile Calorimeter. 12 m. EBA. LBA.

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DSP online algorithms for the ATLAS TileCal Read Out Drivers

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  1. DSP online algorithms for the ATLAS TileCal Read Out Drivers Cristobal Cuenca Almenar IFIC (University of Valencia-CSIC)

  2. Outline • System overview • Code structure • Processing tasks • Optimal Filtering • Muon tagging • Missing Et

  3. ATLAS detector

  4. Hadronic Tile Calorimeter 12 m EBA LBA LBC EBC 4 m

  5. Hadronic Tile Calorimeter

  6. TILECAL MODULE PMT Read Out Chain SHAPER READ OUT DRIVER SYSTEM DIGITIZER Optical Fibers

  7. G-links Read Out Driver board

  8. Staging FPGAs Read Out Driver board

  9. Processing Units Read Out Driver board

  10. Output Controller FPGAs Read Out Driver board

  11. Serializers Read Out Driver board

  12. VME and TTC FPGA Read Out Driver board

  13. G-links VME and TTC FPGA Serializers Output Controller FPGAs Read Out Driver board Staging FPGAs Processing Units Optical Fibers Transition Module

  14. Processing Units: DSP • Eight functional units: • 2 multipliers • 6 arithmetic and logical units • 8/16/32-bit data support • 40-bit arithmetic options • Clock cycle of 720 MHz • Memory: 1056 Kbytes • 32 Kbytes cache • 1024 Kbytes RAM • Real time fixed-point processor TMS360C6414xTM Texas Instruments

  15. Trigger signal distribution • ATLAS three trigger levels. • Read-Out Drivers (ROD). • Processing Units • TTC Information

  16. Outline • System overview • Code structure • Processing tasks • Optimal Filtering • Muon tagging • Missing Et

  17. Code structure

  18. Circular buffers • Two input buffers / one output • Circular buffers: pointers defined at configuration time.

  19. Commands and Internal Registers • Commands: configure the DSP processing variables: • event size • processing task • TTC synchronization • Missing Et & Muons tag • Histogramming • Staging / Full operation modes • Internal Registers: • Online information of the detector read-out performance. • Information available from the ATLAS TDAQ official software.

  20. Synchronization task • BCID checking : Front-End data vs. TTC information • TTC events always processed. • Resynchronization tasks to restore single errors. • Timer interruptions to avoid stopping the system when a module fails.

  21. Outline • System overview • Code structure • Processing tasks • Optimal Filtering • Muon tagging • Missing Et

  22. Reconstruction Algorithms • Requirements: • Send reconstructed information to the 2nd level trigger • Work in real-time at 1st level trigger rate • LHC rate: 100 kHz • First years rate: ~50 kHz • Commissioning rate (during July-August 2006): ~1Hz • Proposed algorithms: • Optimal Filtering: Reconstruction of the energy and arrival time of the particles • Transverse Energy: Calculation of the transverse energy deposited on each module • Muon Tag: Identification of low transverse momentum muons

  23. Optimal Filtering (I) • OF: amplitude, phase and Quality Factor. • Digital Samples • ATLAS Physics run : 7 samples • Pedestal: Baseline of the signal. • Weights obtained from the pulse shape and noise autocorrelation matrix.

  24. Optimal Filtering (II) • Input data: 16 DMU blocks with 3 channels each. • Individual channel gain transmitted in the DMU block header. • 7 samples per channel. • Pedestal assignment. • Weights downloaded from a database by the TDAQ software at configuration time. • Energy  Time  QF • Roundup, scaling and packing adaptation for the output data format.

  25. Muon tagging • Input data: Energy from OF algorithm. • Upper and lower thresholds: • Low threshold cuts the electronic noise • Upper threshold eliminates hadronic showers and tails • Output: • number of muons found and • Pseudorapidities of these muons

  26. Missing Et algorithm • Input data: energy from OF algorithm • DSP fast computation of: • Total transverse energy per module • X and Y projections • Output packed in event sub-fragment toguether with Muon tagging algorithm output.

  27. Conclusions • An Optimal Filter has been implemented in the TileCal Read Out Driver for online data reconstruction • Two trigger oriented algorithms have also been implemented: • Muon tagging • Transverse energy calculation • These algorithms have been tested successfully during TileCal commissioning phase last summer. • Working now on improving timing and performance

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