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# Axial diffusion (TIRF)
# This model function describes fictional one-dimensional diffusion
# in TIR-FCS setups. It demonstrates the mathematical functions available
# in PyCorrFit.
# Visit http://fcstools.dyndns.org/pycorrfit/ for more information.
# The first line of this file will be treated as the name of the model
# inside PyCorrFit. PyCorrFit will enumerate user imported models with IDs
# starting at 7001. You can save a session and the user defined models
# like this one will be saved as well. Lines starting with a hash "#"
# are treated as comments. Empty lines and lines with only white space
# characters are ignored.
## Definition of parameters:
# First, define the parameters and their starting values for you model
# function. If the parameter has a unit of measurement, then it may be
# added separated by a white space before the "=" sign. The starting
# value should be a floating point number. You may use abbreviations
# like "1e-3" instead of "0.001".
# Note that PyCorrFit has it's own unit system:
# unit of time : 1 ms
# unit of inverse time: 1000 /s
# unit of distance : 100 nm
# unit of diff.coeff : 10 µm²/s
# unit of inverse area: 100 /µm²
# unit of inv. volume : 1000 /µm³
D [10 µm²/s] = 5e-5
d [100 nm] = 1.0
# The final line with the correlation function should start with a "G"
# before the "=" sign. You may use all common mathematical functions,
# such as "sqrt()" or "exp()". For convenience, "pi" and "e" may also
# be used. If you need to use the faddeeva function you can do so by
# typing "wofz()". A common used version with an imaginary argument is
# also available: wofz(i*x) = wixi(x)
G = (sqrt(D*tau/pi) - (2*D*tau/d**2 - 1)/(2/d) * wixi(sqrt(D*tau)/d))/d**2
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