Nonlinear analysis of EAS clusters
Astrophysics
2007-05-23 v2 Chaotic Dynamics
Abstract
We apply certain methods of nonlinear time series analysis to the extensive air shower clusters found earlier in the data set obtained with the EAS-1000 Prototype array. In particular, we use the Grassberger-Procaccia algorithm to compute the correlation dimension of samples in the vicinity of the clusters. The validity of the results is checked by surrogate data tests and some additional quantities. We compare our conclusions with the results of similar investigations performed by the EAS-TOP and LAAS groups.
Cite
@article{arxiv.astro-ph/0205260,
title = {Nonlinear analysis of EAS clusters},
author = {M. Yu. Zotov and G. V. Kulikov and Yu. A. Fomin},
journal= {arXiv preprint arXiv:astro-ph/0205260},
year = {2007}
}
Comments
4 pages; submitted to Izv. Ros. Akad. Nauk, Ser. Fiz