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Related Experiment Videos

Pattern recognition at the Fermilab collider and Superconducting Supercollider.

H J Frisch1

  • 1Enrico Fermi Institute and Physics Department, University of Chicago, Chicago, IL 60637-1433, USA.

Proceedings of the National Academy of Sciences of the United States of America
|November 1, 1993
PubMed
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High-energy physics experiments require real-time event selection from massive data streams. Custom hardware and filtering strategies are crucial for identifying rare new physics events from particle collisions at accelerators like Fermilab and the Superconducting Supercollider (SSC).

Area of Science:

  • High-energy physics
  • Particle accelerator experiments
  • Data acquisition and processing

Background:

  • Particle colliders like Fermilab and the Superconducting Supercollider (SSC) generate vast amounts of data from proton-antiproton collisions.
  • Experimentalists must filter this data in real-time to select significant events for further analysis, a rate of 1-100 events per second from billions of collisions.

Purpose of the Study:

  • To describe the filtering strategies and custom hardware developed for real-time event selection in high-energy physics experiments.
  • To address the challenge of identifying rare new physics signals within massive data streams at particle accelerators.

Main Methods:

  • Development of overall filtering strategies for event selection.
  • Implementation of custom hardware designed for real-time pattern recognition and data filtering.

Related Experiment Videos

  • Real-time discrimination of potentially interesting events from a high-volume data stream at a precision of 1 in 10^6.

    • Main Results:

    • The proposed filtering strategies and custom hardware enable efficient real-time event selection from high-rate particle collision data.
    • The system achieves a discrimination level of 1 part in 10^6 with known efficiency, crucial for identifying rare phenomena.

    Conclusions:

    • Effective real-time event selection is critical for the success of high-energy physics experiments at accelerators.
    • Custom hardware and advanced filtering techniques are essential for discovering new physics by isolating rare events from background noise.