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.
+blue dots are measured data points. The red dots in the bottom panel
+are the residual, which looks cubic because we've subtracted a
+quadratic model.
[[!img bump.png alt="Surface bump for photodiode sensitivity"
title="Surface bump for photodiode sensitivity" ]]
later date, or just look back and see exactly what calculations went
into your spring constant calibration in the first place.
+I tried to build calibcant on top of a chain of packages to make
+swapping out the hardware interface easier, but [[Comedi]] is at the
+bottom of the current chain, so it may be hard to use this package if
+you're not running Linux. If you're not running Linux, but are
+interested in getting calibcant working on your system anyway, send me
+an email! I'd be happy to help generalize calibcant, but it's hard
+for me to imagine hardware control from Windows (do people run
+experiments from Macs?). If you've figured that part out, I can
+probably graft calibcant onto your system.
+
[pypi]: http://pypi.python.org/pypi/calibcant/
[PDepgraph.py]:
http://code.google.com/p/yjl/source/browse/Miscellaneous/PDepGraph.py