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2008200920102011201212
Abstract: (Elsevier)
This paper presents an electron/jet discriminator system for operating at the Second Level Trigger of ATLAS. The system processes calorimetry data and organizes the regions of interest in the calorimeter in the form of concentric ring sums of energy deposition, so that both signal compaction and high performance can be achieved. The ring information is fed into a feed forward neural discriminator. This implementation resulted on a 97% electron detection efficiency for a false alarm of 3%. The full discrimination chain could still be executed in less than 500 μ s .
  • 84.35.+i
  • 29.40.Vj
  • 29.85.+c
  • Calorimeter trigger
  • Signal compaction
  • Topological mapping
  • Neural networks
  • DSP
  • ATLAS
  • [1]
    A. Collaboration, ATLAS: technical proposal for a general-purpose pp experiment at the Large Hadron Collider at
    • [2]
      D.A. Collaboration, ATLAS high-level triggers, DAQ and DCS Technical Design Report
      • A. Trigger
    • [3]
      IEEE Trans.Nucl.Sci.,NS-3
      • A. dos Anjos
    • [4]
      CERN preprint 002
      • S. Gonzalez
        ,
      • T. Hansl-Kozanecka
        ,
      • M. Wielers
    • [5]

      Neural Networks. A Comprehensive Foundation

      • S. Haykin
    • [6]
      New Computing Techniques in Physics Research III
      • C. Kiesling
    • [7]
      Artificial neural networks in high energy physics, 〈 〉
      • C. Lindsey
        ,
      • B. Denby
        ,
      • T. Lindblad
    • [8]

      Detection, Estimation and Modulation

      • H.V. Trees
    • [9]
      New Computing Techniques in Physics Research
      • A. Gruber
    • [10]

      DSP First: A Multimedia Approach

      • J.H.M. Clellan
        ,
      • R.W. Schafer
        ,
      • M.A. Yoder
    • [11]

      Computer Architecture and Parallel Processing

      • K. Hwang
        ,
      • F.A. Briggs