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The Cambridge jet algorithm: features and applications

  • Stan Bentvelsen
  • Irmtraud Meyer
Experimental physics

Abstract.

Jet clustering algorithms are widely used to analyse hadronic events in high energy collisions. Recently a new clustering method, known as ‘Cambridge’, has been introduced. In this article we present an algorithm to determine the transition values of \(y_{\mathrm{cut}}\) for this clustering scheme, which allows to resolve any event to a definite number of jets in the final state. We discuss some particularities of the Cambridge clustering method and compare its performance to the Durham clustering scheme for Monte Carlo generated \(\mathrm{e^+e^-}\) annihilation events.

Keywords

Cluster Algorithm Cluster Method Energy Collision Cluster Scheme High Energy Collision 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1998

Authors and Affiliations

  • Stan Bentvelsen
    • 1
  • Irmtraud Meyer
    • 2
  1. 1. CERN, European Organisation for Particle Physics, CH-1211 Geneva 23, Switzerland CH
  2. 2. III. Physikalisches Institut, RWTH Aachen, D-52056 Aachen, Germany DE

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