From 89858d4fd9a7db8d6f6f95da11edaaff807f8609 Mon Sep 17 00:00:00 2001 From: "W. Trevor King" Date: Thu, 21 Apr 2011 22:01:13 -0400 Subject: [PATCH] Flesh out calibcant discussion. --- posts/calibcant.mdwn | 23 -------- posts/calibcant.mdwn_itex | 104 +++++++++++++++++++++++++++++++++ posts/calibcant/bump.png | Bin 0 -> 60930 bytes posts/calibcant/statistics.png | Bin 0 -> 94471 bytes posts/calibcant/vibration.png | Bin 0 -> 106679 bytes 5 files changed, 104 insertions(+), 23 deletions(-) delete mode 100644 posts/calibcant.mdwn create mode 100644 posts/calibcant.mdwn_itex create mode 100644 posts/calibcant/bump.png create mode 100644 posts/calibcant/statistics.png create mode 100644 posts/calibcant/vibration.png diff --git a/posts/calibcant.mdwn b/posts/calibcant.mdwn deleted file mode 100644 index 0281bd0..0000000 --- a/posts/calibcant.mdwn +++ /dev/null @@ -1,23 +0,0 @@ -[[!meta title="calibcant"]] -[[!template id=gitrepo repo=calibcant]] - -Here is my Python module for AFM cantilever calibration via the -thermal tune method. - -The `README` is posted on the [PyPI page][pypi], and you might also be -interested in the [[package dependency graph|calibcant.svg]] generated -with Yu-Jie Lin's [PDepGraph.py][]: - - $ IGNORED=matplotlib,scipy,numpy,pyyaml,h5py,python,eselect-python - $ python PDepGraph.py -o calibcant.dot -D "$IGNORED" calibcant - $ dot -T svg -o calibcant.svg calibcant.dot - -[pypi]: http://pypi.python.org/pypi/calibcant/ -[PDepgraph.py]: - http://code.google.com/p/yjl/source/browse/Miscellaneous/PDepGraph.py - -[[!tag tags/code]] -[[!tag tags/linux]] -[[!tag tags/programming]] -[[!tag tags/pypi]] -[[!tag tags/python]] diff --git a/posts/calibcant.mdwn_itex b/posts/calibcant.mdwn_itex new file mode 100644 index 0000000..a08b02e --- /dev/null +++ b/posts/calibcant.mdwn_itex @@ -0,0 +1,104 @@ +[[!meta title="calibcant"]] +[[!template id=gitrepo repo=calibcant]] + +Here is my Python module for AFM cantilever calibration via the +thermal tune method. + +The `README` is posted on the [PyPI page][pypi], and you might also be +interested in the [[package dependency graph|calibcant.svg]] generated +with Yu-Jie Lin's [PDepGraph.py][]: + + $ IGNORED=matplotlib,scipy,numpy,pyyaml,h5py,python,eselect-python + $ python PDepGraph.py -o calibcant.dot -D "$IGNORED" calibcant + $ dot -T svg -o calibcant.svg calibcant.dot + +Thermal calibration requires three separate measurements: photodiode +sensitivity (via surface bumps), fluid temperature (estimated, or via +thermocouple), and thermal vibration (watching the cantilever vibrate +in far from the surface). The calibcant package takes [[repeated +measurements|statistics.png]] of each of these parameters to allow +estimation of statistical uncertainty: + + $ calibcant-analyze.py calibcant/examples/calibration.h5 + ... + ... variable (units) : mean +/- std. dev. (relative error) + ... cantilever k (N/m) : 0.0629167 +/- 0.00439057 (0.0697838) + ... photo sensitivity (V/m) : 2.4535e+07 +/- 616119 (0.0251118) + ... T (K) : 295.15 +/- 0 (0) + ... vibration variance (V^2) : 3.89882e-05 +/- 1.88897e-06 (0.0484497) + ... + +While this cannot account for systematic errors, calibration numbers +are fairly meaninless without at least statistical error estimates. + +Extracting the photodiode sensitivity and thermal deflection variance +from the raw data can vary a suprising amount depending on your +cantilever/photodiode linearity and drift and signal/noise ratio in +the vibration data. To help deal with this, calibcant provides a +choice of models for fitting each measurement type. + +The contact region of surface bumps can be fit with either linear or +quadratic models. Here is an example of a single surface bump fit +with a quadratic model. The green line is the initial guess (before +fitting), the red line is the final model (after fitting), and the +blue dots are measured data points. + +[[!img bump.png alt="Surface bump for photodiode sensitivity" + title="Surface bump for photodiode sensitivity" ]] + +Extracting the thermal vibration variance is also trickier than it +might seem. Fitting the data in frequency-space to a Lorentzian +([Breit-Wigner][]?) model helps filter out low frequency drift, as +well as white noise from the measurement equipment. + +\[ + \text{PSD}(x, \omega) = + \frac{2 k_BT \beta} + { \pi m \left[{(\omega_0^2-\omega^2)^2 + \beta^2\omega^2}\right] } + + N \;. +\] + +where $\beta$ and $\omega_0$ come from the damped-forced harmonic +oscillator equation of motion + +\[ + \ddot{x} + \beta \dot{x} + \omega_0^2 x = \frac{F(t)}{m} \;, +\] + +$m$ is the cantilever's effective mass, and $N$ is an optional +white-noise offset. + +Here is an example of a one-second thermal vibration fit with the +offset Breit-Wigner model. The top panel is the time-series +deflection voltage (bits vs sample index). The center pannel is a +histogram of the deflection voltage, showing an approximately Gaussian +distribution. The bottom panel shows the power spectral density fit +(red dots) fit with an offset Breit-Wigner model (blue curve). The +horizontal blue line marks the white-noise offset, and the vertical +blue line marks the resonant frequency. Points outside the light blue +region were not considered during the fitting. This allows us to +isolate the cantilever's thermal vibration from other noise sources, +which leads to more accurate and reproducible spring constant +estimates. + +[[!img bump.png alt="Surface bump for photodiode sensitivity" + title="Surface bump for photodiode sensitivity" ]] + + +Finally, all data and analysis results are stored in the standard, +portable [[HDF5]] file format, so it's easy to reanalyze earlier +calibration data with different models if you decide to do so at a +later date, or just look back and see exactly what calculations went +into your spring constant calibration in the first place. + +[pypi]: http://pypi.python.org/pypi/calibcant/ +[PDepgraph.py]: + http://code.google.com/p/yjl/source/browse/Miscellaneous/PDepGraph.py +[Breit-Wigner]: + http://en.wikipedia.org/wiki/Relativistic_Breit%E2%80%93Wigner_distribution + +[[!tag tags/code]] +[[!tag tags/linux]] +[[!tag tags/programming]] +[[!tag tags/pypi]] +[[!tag tags/python]] diff --git a/posts/calibcant/bump.png 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