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Fitting a Function with no closed form
*To*: mathgroup at smc.vnet.net
*Subject*: [mg98633] Fitting a Function with no closed form
*From*: Adam Dally <adally at wisc.edu>
*Date*: Wed, 15 Apr 2009 04:57:22 -0400 (EDT)
I have a histogram which I am trying to fit with a convoluted function.
I get out the list of bin counts easy enough, but I can't figure out a way
to fit the function to the data.
This is the function:
F(x)=Re[NIntegrate [normalizer*(E0 - u)^2 Sqrt[1 - m^2/(E0 - u)^2]*Exp[(-((x
- u)^2/(2 \[Sigma]^2)))/(Sqrt[2 \[Pi]] \[Sigma])], {u, 0, E0}]]
"E0" and "sigma" are known constants. "Normalize" and "m" are the fitting
parameters.
I can get a plot or of a table of values out of the function by:
Plot[F(x),{x, minRange, maxRange}]
Table[F(x),{x, minRange, maxRange, binWidth}]
Is there a way to fit using a function like this? I would also like to error
bars on the fit parameters.
Thank you,
Adam Dally
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