Fitting Experimental Data

*To*: mathgroup at smc.vnet.net*Subject*: [mg116433] Fitting Experimental Data*From*: mathilde Favier <fmath at hotmail.fr>*Date*: Tue, 15 Feb 2011 06:33:45 -0500 (EST)

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 96fmath at hotmail.fr