Prediction W. Buchmueller (DESY) - PowerPoint PPT Presentation

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Prediction W. Buchmueller (DESY)

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Domino Ring Sampler (DRS) Free running domino wave, stopped with trigger ... Domino Wave Stabilization. DLL. Phase and Frequency Stabilization. External. Common ... – PowerPoint PPT presentation

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Title: Prediction W. Buchmueller (DESY)


1
Prediction W. Buchmueller (DESY)
arXivhep-ph/9912317 (1999)
2
Computing
  • DC track reconstruction
  • Slow control system
  • DRS sampling chip
  • Software framework

3
Pattern Finding Track Fitting
  • Basic Track Fitting done in Pisa MC
  • PSI will concentrate on building the DC and on
    noise minimization, but not on PF TF
  • Interface f/r/z from waveform analysis done at
    PSI

4
Labview control of Large Prototype
  • MSCB Bus works stable
  • Hardware in bulk production
  • Used by 3 other experiments at PSI

5
Domino Ring Sampler (DRS)
Enable
In
  • Free running domino wave, stopped with trigger
  • Sampling speed 2 GHz (500ps/bin), trigger gate
    sampling gives 50ps timing resolution
  • 1024 bins ? 150ns waveform 350ns delay
  • 40 MHz readout

6
DRS Tests
  • Sampling Speed 0.7 2.5 GHz
  • Power Supply 35mW (_at_2.5V), 6mW (_at_1.8V)
  • Timing jitter 100ps
  • Readout stable at 40 MHz
  • TC 0.2 / deg. C

7
Test Pulse Readout
12ns Input pulses
Limited by readout cirquitry!
8
Domino Wave Stabilization
Phase and Frequency Stabilization
Trigger Signal Sampling
domino wave
FADC
8 inputs
DLL
Vspeed
External Common Reference Clock
shift register
trigger gate
MUX
9
Schedule
July 2002
2001
2002
2003
2004
1st Prototype
2nd Prototype
Boards
Tests
1st Prototype
2nd Prototype
Boards
Jan 2003
Test
Milestone
Assembly
Design
Manufactoring
10
Software Framework
11
HOWTO Questions (A. Blondel)
  • Process MC events through analysis chain
  • Handle calibration constants, bookkeeping and
    monitoring
  • Visualize single events
  • Harmonize software, have same framework in
    Japan, Italy and PSI
  • Description of current software (beam tests)
  • Organization to develop software
  • Data processing capabilities

12
Analyzing MC Data
MIDAS structure
Online data
online
Logger
Data File
Shared memory
MC Waveform
Frontend
Analyzer
Pedestal Subtraction
Shared memory
PAW
offline
Calibration
MC PMT
Data File
Analyzer
PAW
N-tuple File
Energy Summing
Histogram Display PAW/Root
MC particles
Staged MIDAS analyzer
Physics Cuts
Single Event Display Histograms
storage
13
Online Database
Logger
Online
Frontend
ODB Calibration constants, SWHW Configuration
Frontend
Frontend
Analyzer
Run1
Run2
Run3
Run4
CalibA
CalibB
CalibC
Offline
ODB Calibration constants, SWHW Configuration
Analyzer
Data file
14
Bookkeeping with ELOG
15
Monitoring
  • MIDAS History
  • Trendlines over time
  • Slow control (temperatures, pressures, etc.)
  • Scaler ratios
  • Efficiencies
  • Physics rates

16
Alarm System
  • Integrated into MIDAS DAQ
  • Slow control variables and analyzer variables
  • Connected to pager system

17
pb Single Event Display
p?en
18
Software organization
  • Analyzer contains common and private modules
  • Three software managers (Japan, Italy, PSI)
    maintain software locally and decide about common
    modules
  • Algorithms are developed inside MC and converted
    to analyzer modules
  • Revision management with CVS
  • MC upgrade Pisa?
  • Single event display small task for one person

19
Processing capabilities
  • Assume 100 Hz trigger, 50 occupancy (LXe) and
    10 occupancy (DC)
  • Data 1.2MB/event or 120MB/sec
  • Online Linux cluster each node lt10MB/sec
  • 3rd level trigger waveforms only for m?eg
    candidates stored, else ADC/TDC analysis
    (?10kB/event)
  • Waveform compression 10x
  • 90Hz ADC/TDC data, 10Hz waveform data10 x 1.2MB
    x 0.1 90 x 0.01MB 2.1 MB

20
Software Framework Summary
  • Existing
  • Online DAQ system
  • History system
  • Alarm system
  • Electronic logbook
  • Analyzer framework
  • PAW histogram display
  • Used in Japan, PSI, Pisa
  • Elaborate MC
  • Required
  • Single Event Display (1-2 PM)
  • MC interface to DAQ (1 PW)
  • MC upgrade (noise, inefficiencies, pileup)
  • Track reconstruction
  • Analyzer modules
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