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MULTIFRACTALITY OF SNOWFLAKES

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The results of the extensive numerical simulations of the Dielectric Breakdown Model (DBM) with noise reduction on the hexagonal lattice are presented. Seventy-five clusters grown under different boundary conditions consisting of 16 000 particles on the lattice 1001×1001 were generated. The simulations were done for the noise reduction parameter s equal to 200 and two values of the parameter η, namely for η=0.5 and 1. For the latter case, two boundary conditions were considered: the DBM and DLA b.c. Such a growth model leads to the formation of the fractal objects resembling real snowflakes. The growth probabilities were stored at the five stages of the clusters growth: at the masses of 1000, 2000, 4000, 8000 and 16 000 particles. Multifractal analysis was performed and obtained results are presented. The comparison of two methods: the histogram and moments methods, is provided. We discover that for the η=0.5 parameter, there is a phase transition, while for η=1, there appears to be no phase transition. Besides the usual growth probability measure, the measure given by the noise reduction counters is considered and multifractality of it is presented.
World Scientific Pub Co Pte Lt
Title: MULTIFRACTALITY OF SNOWFLAKES
Description:
The results of the extensive numerical simulations of the Dielectric Breakdown Model (DBM) with noise reduction on the hexagonal lattice are presented.
Seventy-five clusters grown under different boundary conditions consisting of 16 000 particles on the lattice 1001×1001 were generated.
The simulations were done for the noise reduction parameter s equal to 200 and two values of the parameter η, namely for η=0.
5 and 1.
For the latter case, two boundary conditions were considered: the DBM and DLA b.
c.
Such a growth model leads to the formation of the fractal objects resembling real snowflakes.
The growth probabilities were stored at the five stages of the clusters growth: at the masses of 1000, 2000, 4000, 8000 and 16 000 particles.
Multifractal analysis was performed and obtained results are presented.
The comparison of two methods: the histogram and moments methods, is provided.
We discover that for the η=0.
5 parameter, there is a phase transition, while for η=1, there appears to be no phase transition.
Besides the usual growth probability measure, the measure given by the noise reduction counters is considered and multifractality of it is presented.

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