The Nonlinear Assignment Problem in Experimental High Energy Physics

  • Jean-Francois Pusztaszeri
Part of the Combinatorial Optimization book series (COOP, volume 7)

Abstract

This chapter describes a mathematical programming approach to solve the data association phase of the multiple-target tracking problem, and its implementation in the context of pattern recognition in High Energy Physics. The approach can be easily integrated within existing parameter estimation methods of dynamic systems commonly used in practice, and in particular within the framework of Kalman filtering. It also provides the only alternative to exhaustive search when optimality conditions of estimation methods are violated and when strict quality requirements are in place.

While it has been developed for a specific High Energy Physics experiment (ALEPH), the approach presented here is general enough to extend, with only little additional modeling effort, to other multiple-target tracking applications with similar operational requirements.

Keywords

Argon Covariance Radar Radon Calorimeter 

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Copyright information

© Springer Science+Business Media Dordrecht 2000

Authors and Affiliations

  • Jean-Francois Pusztaszeri
    • 1
  1. 1.Logistics DivisionSabre, Inc.USA

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