Yellow Report Detector DAQ-Electronics

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Status of the working group activities, June 15th 2020

The following is a summary of the activities that were performed within the working group starting from January 2020.

Concerning the DAQ system:

  • There has been a comprehensive discussion concerning the overall structure of the DAQ architecture for the EIC detector. In particular:
    • A glossary of terms was produced, to make sure that we all agree on the terminology when talking about this subject.
    • We invited DAQ experts from different laboratories (JLAB, BNL, CERN) to present the implementations of different DAQ systems.
    • We discussed on how to simulate the effect of the trigger in Monte Carlo simulations, in particular for a streaming readout system, as well as how to validate it with data.
  • A preliminary estimate of the foreseen data rate from the EIC detector was derived by Dr. Jin Huang, for the sPHENIX-EIC detector model Slides
    • The main outcome of the study was that, at the nominal detector luminosity, a total readout rate of approximately 100 Gb/s is expected. This includes both the contribution of signal (ep) events and beam-gas interaction (pp) events, together with a first, preliminary estimate of the detector noise. The latter has to be refined.
  • The output of this discussion was that the whole group thinks that a streaming readout systemis the optimal choice for the EIC detector.
    • The main advantages include:modularity, online data treatments, easily adaptable to detection setup changes.
    • Critical items to consider:highly demanding on computing and network resources. Also, unexpected large noise level could exceed the system capacity, which must be prepared for such an event.
  • The following solution was identified:design a modular system evolving with the experiment.
    • Hybrid streaming readout during the first (low-luminosity) part of the run to fully understand the detector: if possible, filterless streaming. If unforeseen high-rate from detectors: cross-detector zero suppression, where only interesting portions of the data stream are further processed. This can be achieved both with a parallel hardware system (sPHENIX-like), or with a software system. Calorimeter is an excellent candidate to provide the signature.
    • Online filtering and online reconstruction gradually introduced when the detector is under control / online calibrations are available.

Concerning the readout:

  • We are interacting with the detector WGs to define their requirements in terms of readout: information to read, number of channels, foreseen rates, occupancy, and noise.
    • We still need input from few detector groups.
  • We invited ASICs developers to join our meetings in June, in order to identify if already existing solutions can be used for EIC.
    • SAMPA, TIGER, VMM developers already accepted our invitation.

Draft outline of Yellow Report Readout and DAQ section, June 15th 2020

  • General requirements to the Readout and DAQ system
    • Estimate of data rate
    • Detector readout requirements with expected hit rates, number of channels
    • DAQ requirements
  • FE and readout
    • Existing and future front-end technologies overview
    • Application to the EIC detector
    • ...
  • DAQ
    • General DAQ structure: streaming readout
    • Existing and future streaming readout systems overview
    • Application to the EIC detector: the hybrid streaming readout approach
      • Technologies for 100 Gb/s data transport and writing to disk
      • Technologies and solutions for cross-detector zero suppression at the streaming level (possibly reporting both hardware, FELIX-like solutions, and software solutions)
      • Technologies and solutions for online data analysis (possibly reporting a discussion on software frameworks needs and implementations)
    • Simulation and validation
    • ...
  • Online data analysis
    • Online calibrations
    • Online monitoring
    • Computing requirements (??)