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USCMS Document 1848-v0

Genetic Programming and Its Application to HEP

Document #:
USCMS-doc-1848-v0
Document type:
Presentation
Submitted by:
- -
Updated by:
Elfi Gabriel
Document Created:
03 Nov 2006, 13:51
Contents Revised:
03 Nov 2006, 13:51
DB Info Revised:
24 Mar 2008, 16:48
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  • Public document
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Abstract:
Genetic programming is a machine learning technique, popularized by Koza in 1992, in which computer programs which solve user-posed problems are automatically discovered. Populations of programs are evaluated for their fitness of solving a particular problem. New populations of ever increasing fitness are generated by mimicking the biological processes underlying evolution. These processes are principally genetic recombination, mutation, and survival of the fittest.

This talk will give an overview and demonstration of the genetic programming technique and show a successful application in high energy physics: the automatic construction of an event filter for FOCUS which is more powerful than the experiment's usual methods of event selection. We have applied thismethod to the study of doubly Cabibbo suppressed decays of charmed hadrons.

Speaker: Eric Vaandering of Vanderbilt University

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