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Monte-Carlo evaluation of bias and variance in Hurst exponents computed from power spectral analysis of atomic force microscopy topographic images

Robert Chrostowski, Zixuan Li, James Paul Smith, Filippo Mangolini

2021Applied Surface Science11 citationsDOI

Topics & Concepts

Hurst exponentMonte Carlo methodSpectral densityStatistical physicsAnisotropyScale (ratio)PhysicsMathematicsOpticsStatisticsQuantum mechanicsForce Microscopy Techniques and ApplicationsSurface Roughness and Optical MeasurementsAdhesion, Friction, and Surface Interactions
Monte-Carlo evaluation of bias and variance in Hurst exponents computed from power spectral analysis of atomic force microscopy topographic images | Litcius