Evolutionary Algorithm for Particle Trajectory Reconstruction within Inhomogeneous Magnetic Field in the NA61/SHINE Experiment at CERN SPS

• Autorzy: Wyszyński O.

Identyfikatory

DOI

10.4467/20838476SI.15.015.3997

• Języki publikacji: EN

Abstrakty

EN

In this paper, a novel probabilistic tracking method is proposed. It combines two competing models: (i) a discriminative one for background classification; and (ii) a generative one as a track model. The model competition, along with a combinatorial data association, shows good signal and background noise separation. Furthermore, a stochastic and derivative-free method is used for parameter optimization by means of the Covariance Matrix Adaptation Evolutionary Strategy (CMA-ES). Finally, the applicability and performance of the particle trajectories reconstruction are shown. The algorithm is developed for NA61/SHINE data reconstruction purpose and therefore the method was tested on simulation data of the NA61/SHINE experiment.

Słowa kluczowe

EN

tracking; event; reconstruction; particle; high; energy; physics; HEP; NA61; SHINE; CERN; TPC; magnetic; field; CMA; evolutionary; strategy; bayes, generative, discriminative

• Wydawca: Wydawnictwo Uniwersytetu Jagiellońskiego
• Czasopismo: Schedae Informaticae
• Rocznik: 2015
• Tom: Vol. 24
• Strony: 159--177
• Opis fizyczny: Bibliogr. 38 poz., rys.

Twórcy

autor

Wyszyński O.

• Faculty of Physics, Astronomy and Applied Computer Science Jagiellonian University, Łojasiewicza 11, 30-348 Kraków, Poland
• CERN, CH-1211 Geneva 23, Switzerland

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