Supporting Information
Supporting information features four files. File Supporting Information File 1 reminds the most salient results of the Euler–Bernoulli model and how it sustains the point-mass SHO equivalence. File Supporting Information File 2 reminds fundamental elements of signal processing applied to discrete time signals, among which the Power Spectral Density. File Supporting Information File 3 reminds the expression of the thermal noise PSD of a SHO in thermal equilibrium within a thermostat. The PSD of the stochastic thermal force giving rise to the fluctuations of the SHO is derived as well, which is used in the numerical simulations. File Supporting Information File 4 illustrates the influence of a digital antialiasing filter on the measured tn-PSD.
| Supporting Information File 1: The Euler–Bernoulli model and the point-mass SHO equivalence | ||
| Format: PDF | Size: 239.5 KB | Download |
| Supporting Information File 2: Discrete Fourier transform and power spectral density of a discrete time signal | ||
| Format: PDF | Size: 242.5 KB | Download |
| Supporting Information File 3: Power Spectral densities of a SHO and of the thermal force – Probability density function of the thermal force | ||
| Format: PDF | Size: 245.2 KB | Download |
| Supporting Information File 4: Influence of a digital antialiasing filter on the measured tn-PSD | ||
| Format: PDF | Size: 4.2 MB | Download |
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- Rahe, P.; Bald, I.; Hauptmann, N.; Hoffmann-Vogel, R.; Mönig, H.; Reichling, M. Advanced atomic force microscopy techniques V. Beilstein journal of nanotechnology 2025, 16, 54–56. doi:10.3762/bjnano.16.6
