Abstract
A wavelet analysis is applied to the study of correlations in multiplicity fluctuations. Both the usual correlation functions as well as the wavelet transformed functions are calculated and compared with three different models: the FRITIOF, random cascade, and Ising models. The large off-diagonal bin correlations are effectively suppressed by the wavelets. The correlations from different scales nearly decouple. The wavelet analysis provides a useful tool for studying the self-similarity of multiparticle production in high-energy collisions.
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