calibcant: tools for thermally calibrating AFM cantilevers

Calculates the spring constant `k` of a cantilever using the
equipartition theorem:
  1/2 k_B T = 1/2 K x^2
The analysis uses the expected power spectral density (PSD) of a
damped simple harmonic oscillator to filter out noise from the
measured PSD.


Packages
========

Gentoo
------

I've packaged calibcant for Gentoo.  You need layman_ and my `wtk
overlay`_.  Install with::

    # emerge -av app-portage/layman
    # layman --add wtk
    # emerge -av sci-physics/calibcant

.. _layman: http://layman.sourceforge.net/
.. _wtk overlay: http://www.physics.drexel.edu/~wking/unfolding-disasters/posts/Gentoo_overlay/


Dependencies
============

calibcant requires the following Python modules:

* linfit (depends in turn on scipy.stats.linregress)
* TODO

* Numpy_
* Scipy_
* PyYAML_ (for saving and loading playlists)
* Matplotlib_ (for generating plots)
* wxPython_ (for the GUI)

.. _Python: http://www.python.org/
.. _Numpy: http://numpy.scipy.org/
.. _Scipy: http://www.scipy.org/
.. _PyYAML: http://pyyaml.org/
.. _Matplotlib: http://matplotlib.sourceforge.net/
.. _wxPython: http://www.wxpython.org/


Getting the source
==================

calibcant is available as a Git_ repository::

    $ git clone http://www.physics.drexel.edu/~wking/code/git/calibcant.git

There are also periodic bundled releases.  For example, get version
0.5 as a gzipped tarball with::

     $ wget http://www.physics.drexel.edu/~wking/code/python/calibcant-0.5.tar.gz
     $ tar -xzvf calibcant-0.5.tar.gz

.. _Git: http://git-scm.com/


Installation
============

After downloading, change to the source directory and run::

    $ python setup.py install

to install calibcant.  Run::

    $ python setup.py install --help

to see a list of installation options you may want to configure.


Usage
=====

You can... While there are a number of command-line scripts
TODO