Searcharxiv⌕ Search

arXiv · 0707.1750

The accuracy of roughness exponent measurement methods

Abstract

We test methods for measuring and characterizing rough profiles with emphasis on measurements of the self-affine roughness exponent, and describes a simple test to separate between roughness exponents originating from long range correlations in the sign signs of the profile, and roughness exponents originating from L{é}vy distributions of jumps. Based on tests on profiles with known roughness exponents we find that the power spectrum density analysis and the averaged wavelet coefficients method give the best estimates for roughness exponents in the range 0.1 to 0.9. The error-bars are found to be less than 0.03 for profile lengths larger than 256, and there are no systematic bias in the estimates. We present quantitative estimates of the error-bars and the systematic error and their dependence on the value of the roughness exponent and the profile length. We also quantify how power-law noise can modify the measured roughness exponent for measurement methods different from the power spectrum density analysis and the second order correlation function method.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Jan Øystein Haavig Bakke, Alex Hansen. 2007-07-12. The accuracy of roughness exponent measurement methods. https://arxiv.org/abs/0707.1750

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

First Passage Times for Variable-Order Time-Fractional Diffusion

We derive the asymptotic first passage time (FPT) distribution for space-dependent variable-order time-fractional diffusion, where the fractional exponent $α(x)$ varies with position. On a bounded interval with an absorbing and a reflecting boundary, we show that the survival probability decays as $Ψ(t)\sim C\,t^{-α_*}/[\ln (t/τ)]^ν$, where $α_*$ is the minimum value of the fractional exponent and $ν$ is determined by the location and shape of the minimum. The exponent $ν$ is fixed by the location and order of the minimum, taking the value $1/k$ at a $k$\textsuperscript{th}-order interior minimum, $1$ at the reflecting boundary and $2$ at the absorbing boundary. For a constant fractional exponent, $ν=0$, so the logarithmic factor distinguishes a continuously varying order field from a homogeneous medium. We recover both exponents from simulated first passage times by a direct linear fit, with no amplitude or geometric input. We validate the theory against exact Laplace-space solutions and Monte Carlo simulations for linear and nonlinear profiles of $α(x)$.

cond-mat.stat-mech↗

The unique, universal entropy for complex systems

A unique, universal definition for the entropy of nonlinear, complex systems is proposed. The Shannon entropy is shown to measure energetic, configurational, and nonlinear degrees of freedom (DOF). An entropy calibrated to the asymptotic nonlinearity of the distribution reduces the nonlinear DOF to zero and modifies the configurational DOF with a generalized logarithm. Physical axioms regarding the asymptotic growth of states, the calibration from an informational scale, and nonlinear dynamics provide a foundation for the proof that the calibrated entropy is unique and comprehensive across the short- and long-range dependency classes. The informational scale quantifies the linear uncertainty independent of the nonlinearity. This entropy, when constrained by the informational scale, is maximized by the coupled stretched exponential distributions (CSED). A consistent thermodynamics for nonequilibrium systems is proposed with the temperature equal to the scale constraint divided by the Boltzmann constant. Physical and informational applications are highlighted.

cond-mat.stat-mech↗

Exact amplitude relations for diffusion-limited aggregation

It has been known for several decades that the third moment of the multifractal spectrum of the harmonic measure for diffusion-limited aggregates is linked to the underlying fractal dimension of the cluster. We demonstrate, using an argument based on the Hastings-Levitov formulation of diffusion-limited aggregation (DLA) in two dimensions, an even stronger link, connecting the universal amplitude of the third moment to the cluster fractal dimension. This argument can be used for both the standard circular DLA as well as DLA in a cylinder (i.e., with periodic boundary conditions); in the latter case the relationship of the amplitude to the fractal dimension is weaker, and must be extracted via a scaling analysis.

cond-mat.stat-mech↗