Class fit_diff_of_exp
source code
object --+
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fit_function --+
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fit_diff_of_exp
Fit a 'difference of two exponentials' function y =
k*a*b*(exp(-a*x)-exp(-b*x))/(b-a) to the (x,y) array data. If initial
parameter values = (k,a,b) are not given, the values (1,1,1) will be used
(where the function degenerates to y = k*a*a*x*exp(-a*x).
Optional use_xoff feature adds offset to x, so that y =
k*a*a*(x+xoff)*exp(-a*(x+xoff)) (yes, "+ xoff") etc., in
case fitting data that starts at larger values than its tail. Then
initial parameter values will be (1,1,1,0) unless given otherwise.
If peak_constraint option is used, it is a tuple of values (x_index,
y_value, weight_x, weight_y) for the approximate position of a turning
point in the data, then this will be used as a soft constraint in the
fit.
result.peak_pos is a (xpeak, ypeak) pair. result.f is the fitted
function (accepts x values).
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Inherited from fit_function :
__init__
Inherited from object :
__delattr__ ,
__getattribute__ ,
__hash__ ,
__new__ ,
__reduce__ ,
__reduce_ex__ ,
__repr__ ,
__setattr__ ,
__str__
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Inherited from object :
__class__
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