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Genetic algorithms and experimental discrimination of SUSY models

Allanach, B.C.; Grellscheid, D.; Quevedo, F.

Authors

B.C. Allanach

D. Grellscheid

F. Quevedo



Abstract

We introduce genetic algorithms as a means to estimate the accuracy required to discriminate among different models using experimental observables. We exemplify the technique in the context of the minimal supersymmetric standard model. If supersymmetric particles are discovered, models of supersymmetry breaking will be fit to the observed spectrum and it is beneficial to ask beforehand: what accuracy is required to always allow the discrimination of two particular models and which are the most important masses to observe? Each model predicts a bounded patch in the space of observables once unknown parameters are scanned over. The questions can be answered by minimising a ``distance'' measure between the two hypersurfaces. We construct a distance measure that scales like a constant fraction of an observable. Genetic algorithms, including concepts such as natural selection, fitness and mutations, provide a solution to the minimisation problem. We illustrate the efficiency of the method by comparing three different classes of string models for which the above questions could not be answered with previous techniques. The required accuracy is in the range accessible to the Large Hadron Collider (LHC) when combined with a future linear collider (LC) facility. The technique presented here can be applied to more general classes of models or observables.

Citation

Allanach, B., Grellscheid, D., & Quevedo, F. (2004). Genetic algorithms and experimental discrimination of SUSY models. Journal of High Energy Physics, 2004(07), https://doi.org/10.1088/1126-6708/2004/07/069

Journal Article Type Article
Publication Date Jul 1, 2004
Deposit Date Feb 17, 2015
Publicly Available Date Mar 28, 2024
Journal Journal of High Energy Physics
Print ISSN 1126-6708
Electronic ISSN 1029-8479
Publisher Scuola Internazionale Superiore di Studi Avanzati (SISSA)
Peer Reviewed Peer Reviewed
Volume 2004
Issue 07
DOI https://doi.org/10.1088/1126-6708/2004/07/069
Keywords Supersymmetry breaking, Beyond standard model.

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