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Sampling-time effects for persistence and survival in step structural fluctuations

2004/10/31 by D. B. Dougherty, Daniel B. Dougherty, C. Tao +12
Chemistry · Mathematics · Physics and Astronomy · #Amplitude #Chemistry #Context (archaeology) #Crystallite #Crystallography #Geometry #Magnetic properties of thin films #Mathematics #Optics #Persistence (discontinuity) #Physics #Quantum and electron transport phenomena #Sampling (signal processing) #Scaling #Statistics #Surface and Thin Film Phenomena #cond-mat.mtrl-sci #cond-mat.stat-mech

paper · pdf · doi:10.1103/physreve.71.021602

published as Phys. Rev. E 71, 021602 (2005) · 27 pages, 10 figures

openalex publication_date 2005/02/23 · arxiv created 2005/10/21 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05

Abstract

The effects of sampling rate and total measurement time have been determined for single-point measurements of step fluctuations within the context of first-passage properties. Time dependent scanning tunneling microscopy has been used to evaluate step fluctuations on Ag(111) films grown on mica as a function of temperature (300-410 K) , on screw dislocations on the facets of Pb crystallites at 320 K , and on Al-terminated Si(111) over the temperature range 770-970 K . Although the fundamental time constant for step fluctuations on Ag and Al/Si varies by orders of magnitude over the temperature ranges of measurement, no dependence of the persistence amplitude on temperature is observed. Instead, the persistence probability is found to scale directly with t/delta t where delta t is the time interval used for sampling. Survival probabilities show a more complex scaling dependence, which includes both the sampling interval and the total measurement time t(m) . Scaling with t/delta t occurs only when delta t/ t(m) is a constant. We show that this observation is equivalent to theoretical predictions that the survival probability will scale as delta t/ L(z) , where L is the effective length of a step. This implies that the survival probability for large systems, when measured with fixed values of t(m) or delta t , should also show little or no temperature dependence.

Citations