Particle detection optimization by means of a distributed evolutionary algorithm

Autor:	Krzysztof Kurek, Adam Padée, Krzysztof Zaremba
Rok vydání:	2007
Předmět:	Data processing Mathematical optimization Spectrometer Computer science Applied Mathematics Evolutionary algorithm Measure (mathematics) Momentum Distributed algorithm Genetic algorithm Cluster (physics) Instrumentation Engineering (miscellaneous) Algorithm
Zdroj:	Measurement Science and Technology. 18:2472-2476
ISSN:	1361-6501 0957-0233
Popis:	This paper presents an approach to optimize the reconstruction of particle tracks in a large area spectrometer using an evolutionary algorithm. First, the basic concepts of the measurement of the momentum are presented, including some details on the track reconstruction. An objective function is formulated to measure the efficiency of the reconstruction. Then, the optimizer is described in two versions: sequential for a single CPU and distributed for a cluster of PCs. The architecture of both of them is presented in detail, including the description of the operators used plus some words on the infrastructure required for the distributed version. Finally, the results from the tests of the program are presented, from which the conclusion is drawn that the distributed genetic algorithm, easy to implement on high energy physics data processing clusters, may be helpful in improving the efficiency of the reconstruction.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::5c0435466c1c08cecbc0e271fa633a4a https://doi.org/10.1088/0957-0233/18/8/023 Zobrazit plný text záznamu