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Re: Fitting Experimental Data

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  • Subject: [mg116461] Re: Fitting Experimental Data
  • From: "Sjoerd C. de Vries" <sjoerd.c.devries at>
  • Date: Wed, 16 Feb 2011 04:35:07 -0500 (EST)
  • References: <ijdoah$f9o$>

Before answering your question I feel we need some more details:

- what's in dataleftlowband? {x,y} pairs of data or just y? In the
latter case, is your dataset sorted and with datapoint spaced at a
distance of 1? Is this data set with  your spurious peaks or did you
(manually) remove them?
- what's in xdataleftlowband?

Cheers -- Sjoerd

On Feb 15, 12:33 pm, mathilde Favier <fm... at> wrote:
> I am in trouble in trying to do a Fit using Mathematica7.
> Here my problem:
> My instrument on which I am working is giving me data looking like a plot with two round (more Gaussian) shape but with some picks on the top of each, the figures would have shown it, but you told me that I cannot enclose any file.
> I am only interested in the 2 round shapes, .
> My goal is to do a fit of those them.
> First I am isolating those 2 parts (ie: Plotting them whithout the data between them.)
> But the problem is that the picks on the top of each round shape will disturber my
> fit so I have to remove them.So now I have removed the picks, I have just 2 kind of asymetrics Gaussians with a hall on the top of each. To describe it more properly, I would say I have the rising and falling edge of two differente asymetric Gaussian.
> Now I start to look for a first Fit corresponding to the first asymetric Gaussian.
> Here is my code:
> model=
> b+ a*(1/(s*\[Sqrt](2*Pi)))*
> Exp[-(x-m)^2/(2*s^2)];
> fit=FindFit[dataleftlowband,model,{b,a,s,m}, x, MaxIterations->100]
> modelfit = Table[Evaluate[model/.fit],{x,1,Length[dataleftlowband]}];
> tmodelfit = Transpose[{xdataleftlowband,modelfit}];
> My big problem is that I removed some data
> in the middle of my curve and I want that according to the values kept, the
> fitting find out which should be the missing values, because I need to
> approximately trace the top of my Gaussian shape.
> I've tried a lot of stuff to find out how
> to solve that as, random points in the Gap...
> Is there a method like considering the
> first part as the rising edge and the second as the falling edge of a Gaussian?
> Is Mathematica able to solve that?
> I hope that my problem is clearly explained. It's not that easy without any pictures to show how my data look like.
> Tell me if you have any idea to find a solution.
> Thank you in advance
> FAVIER MathildeTel: + 33 (0)6 35 29 36 96fm... at        

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