Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2007-04-10
Phys. Rev. E 76, 011128 (2007)
Physics
Condensed Matter
Disordered Systems and Neural Networks
19 pages, 8 figures
Scientific paper
10.1103/PhysRevE.76.011128
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 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.
Luryi Serge
Subashiev Arsen V.
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