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Local polarization dynamics in ferroelectric materials

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Rep. Prog. Phys. 73 (2010) 056502<br />

S V Kal<strong>in</strong><strong>in</strong> et al<br />

Figure 4. The dependence of (a) displacement u 3 ,(b) piezoelectric tensor component e 33 , for PbTiO 3 (PTO, ν = 0.3 (Poisson’s ratio)) on<br />

Euler’s angle θ <strong>in</strong> the laboratory coord<strong>in</strong>ate system. The dependence of (c) piezoelectric tensor component e 33 and (d) displacement u 3 for<br />

LiTaO 3 (LTO, ν = 0.25) on Euler’s angles ϕ, θ <strong>in</strong> the laboratory coord<strong>in</strong>ate system. Reproduced from [185]. Copyright 2007, American<br />

Institute of Physics.<br />

trigonal LiTaO 3 (LTO) model systems <strong>in</strong> figure 4. Note<br />

that while <strong>in</strong> this analysis, the dielectric properties of the<br />

material are assumed to be close to isotropic and hence the<br />

electric field distribution is <strong>in</strong>sensitive to sample orientation,<br />

similar analysis can be performed for full dielectric and elastic<br />

anisotropy.<br />

The dependence of the piezoelectric tensor component e 35<br />

versus the orientation of the crystallographic axes with respect<br />

to the laboratory coord<strong>in</strong>ate system for a LTO crystal is shown<br />

<strong>in</strong> the upper row of figure 5. The horizontal displacement<br />

below the tip versus the orientation of the crystallographic<br />

axes with respect to the laboratory coord<strong>in</strong>ate system for a<br />

LTO crystal is shown <strong>in</strong> the bottom row of figure 5.<br />

A common feature of the displacement surfaces shown <strong>in</strong><br />

figures 4 and 5 is that the u 1 angular distribution is smoother,<br />

much more symmetric and convex than the one for e 35 .<br />

Similarly to the longitud<strong>in</strong>al components of the piezoelectric<br />

tensors e 33 and d 33 , the d 35 surfaces are very similar to e 35<br />

surfaces.<br />

2.3. Resolution theory <strong>in</strong> PFM<br />

One of the basic parameters characteriz<strong>in</strong>g performance of<br />

a microscope is the spatial resolution. Despite the ubiquity<br />

of usage and ‘<strong>in</strong>tuitive’ mean<strong>in</strong>g, the resolution <strong>in</strong> SPM is<br />

typically def<strong>in</strong>ed ad hoc. A quantitative imag<strong>in</strong>g theory <strong>in</strong><br />

PFM (and other SPMs) is required <strong>in</strong> order to:<br />

• def<strong>in</strong>e the resolution and <strong>in</strong>formation limits <strong>in</strong> PFM and<br />

establish their dependence on tip geometry and <strong>materials</strong><br />

properties, hence suggest<strong>in</strong>g strategies for high-resolution<br />

imag<strong>in</strong>g;<br />

• develop the pathways for calibration of tip geometry <strong>in</strong><br />

the PFM experiment for quantitative data <strong>in</strong>terpretation;<br />

• <strong>in</strong>terpret the imag<strong>in</strong>g and spectroscopy data <strong>in</strong> terms of<br />

<strong>in</strong>tr<strong>in</strong>sic doma<strong>in</strong> wall widths and the size of the nascent<br />

doma<strong>in</strong> below the tip;<br />

• reconstruct the ideal image from experimental data<br />

(deconvolute tip contribution), and establish applicability<br />

limits and errors associated with such deconvolution<br />

processes.<br />

In this section, we describe the basic pr<strong>in</strong>ciples of l<strong>in</strong>ear<br />

imag<strong>in</strong>g theory, provide def<strong>in</strong>itions of resolution and<br />

<strong>in</strong>formation limit and describe <strong>in</strong>strumental and theoretical<br />

aspects of resolution function theory <strong>in</strong> PFM.<br />

2.3.1. L<strong>in</strong>ear imag<strong>in</strong>g theory: transfer function, resolution<br />

and <strong>in</strong>formation limit. The def<strong>in</strong>ition of spatial resolution<br />

and resolution theory have orig<strong>in</strong>ally evolved <strong>in</strong> the context of<br />

optical and electron microscopy (EM). In optics, the Rayleigh<br />

criterion [196] def<strong>in</strong>es the resolution as the m<strong>in</strong>imum distance<br />

by which two po<strong>in</strong>t scatterers must be separated <strong>in</strong> order to<br />

be discernible for a given imag<strong>in</strong>g system. A commonly<br />

used alternative read<strong>in</strong>g of the criterion postulates that for<br />

two Gaussian-shaped image features of similar <strong>in</strong>tensity to be<br />

resolved, the dip between the two maxima should be at least<br />

21% of the maximum. This criterion is illustrated <strong>in</strong> figure 6(a)<br />

and shows the transition of the two features from completely<br />

resolved to unresolved as a function of the separat<strong>in</strong>g distance.<br />

Note that the criterion is not absolute. It is possible that for<br />

a system with a sufficiently high signal-to-noise ratio, peaks<br />

separated by less than Rayleigh’s resolution can be discernible<br />

8

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