Finding the vertical offset of a gaussian fit

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Ahmed Abdulla
Ahmed Abdulla on 28 Jul 2021
Commented: Adam Danz on 29 Jul 2021
I apologize for posting this question again, as I believe I miss presented my question earlier.
I have the following data points as shown in the picture, and I am in the quest to obtain the vertical offset (v0) for the best gaussian fit to my data point. Equation for gaussian fit: gaus = amp*exp(-(((x-mu).^2)/(2*sig.^2)))+ v0.
I currently have the datasets x and y and I am stuck at that, any help is appreciated and sorry for posting this again
Adam Danz
Adam Danz on 29 Jul 2021
Also, the previous answer you accepted and then unaccepted also includes a vertical offset term and even lists the fit parameter values in the axes title.
You also copied the guassian equation from the previous answer into your current question above. I don't see how this question differs from the previous question.

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Accepted Answer

Matt J
Matt J on 28 Jul 2021
Edited: Matt J on 28 Jul 2021
This File Exchange routine does gaussian+constant fitting:
y=amp*exp(-(((x-mu).^2)/(2*sig.^2)))+ v0;
Local minimum possible. lsqcurvefit stopped because the final change in the sum of squares relative to its initial value is less than the value of the function tolerance.
[v0,amp,mu,var]=p{:}, sig=sqrt(var)
v0 = 1.6697
amp = 4.0421
mu = 4.9868
var = 5.4130
sig = 2.3266

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