- Tytuł:
- Evolutionary Algorithm for Particle Trajectory Reconstruction within Inhomogeneous Magnetic Field in the NA61/SHINE Experiment at CERN SPS
- Autorzy:
- Wyszyński, Oskar
- Powiązania:
- https://bibliotekanauki.pl/articles/1373697.pdf
- Data publikacji:
- 2015
- Wydawca:
- Uniwersytet Jagielloński. Wydawnictwo Uniwersytetu Jagiellońskiego
- Tematy:
-
tracking
event
reconstruction
particle
high
energy
physics
HEP
NA61
SHINE
CERN
TPC
magnetic
field
CMA
evolutionary
strategy
bayes
generative
discriminative - Opis:
- 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.
- Źródło:
-
Schedae Informaticae; 2015, 24; 159-177
0860-0295
2083-8476 - Pojawia się w:
- Schedae Informaticae
- Dostawca treści:
- Biblioteka Nauki
Artykuł