Nonlinear analysis of EAS clusters

Details Nonlinear analysis of EAS clusters Nonlinear analysis of EAS clusters

2002-05-16

arxiv.org/abs/astro-ph/0205260v2

Izv.Ross.Akad.Nauk Ser.Fiz. 66 (2002) 1585; Bull.Russ.Acad.Sci.Phys. 66 (2002) 1747-1751

Astronomy and Astrophysics

Astrophysics

4 pages; submitted to Izv. Ros. Akad. Nauk, Ser. Fiz

Scientific paper

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.

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