| Microscopy and Microanalysis | 2000 |
Abstract:
We describe a hidden parameter inferencing algorithm for deducing
the length, width, and vibration profile from images of thermally
excited single-wall carbon nanotubes. With accurate estimates
of these parameters, the Young's modulus can be deduced. The
algorithm is sensitive to shot noise in the image,
primarily because of the low nanotube image contrast. Noise
causes the nanotube length and width to be overestimated, and
the vibration amplitude to be underestimated. After correcting
for shot noise, we infer an average value of the Young's
modulus of
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