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Fluctuations of the partial filling factors in competitive random sequential adsorption from binary mixtures
Arsen V Subashiev1, Serge Luryi
1Department of Electrical and Computer Engineering, State University of New York at Stony Brook, Stony Brook, New York 11794-2350, USA. subashiev@ece.sunysb.edu
Abstract:
Competitive random sequential adsorption on a line from a binary mix of incident particles is studied using both an analytic recursive approach and Monte Carlo simulations. We find a strong correlation between the small and the large particle distributions so that while both partial contributions to the fill factor fluctuate widely, the variance of the total fill factor remains relatively small. The variances of partial contributions themselves are quite different between the smaller and the larger particles, with the larger particle distribution being more correlated. The disparity in fluctuations of partial fill factors increases with the particle size ratio. The additional variance in the partial contribution of a smaller particle originates from the fluctuations in the size of gaps between larger particles. We discuss the implications of our results to semiconductor high-energy gamma detectors where the detector energy resolution is controlled by correlations in the cascade energy branching process.
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