I am having problems in fitting a 2d gaussian curve. I have a set of data: with 3 columns and N rows. For example x y Intensity. .. .. .. N is same for all 3 columns. I am trying to create an intensity plot out of this data and fit a 2D gaussian to it. I tryed making a polynomial interpolation of the intensity data over the x-y range and make an intensity plot (Don't know if there is a better way of doing it ! Please Suggest if there is any other way.). Then I use Levenberg-Marquardt method to fit this data. For some reason, it is not doing any iteration with the initial guess. The best fit value is same as initial guess. it is shoing error: NI_Gmath.lvlib:LM get new coefficients.vi:1. (see attached vis) Can anyone help me with this ! Thanks.

OK, I quickly modified my old example and it seems to easily fit your raw data. See attached (LV2010). Modify as needed. (Note that I define the width as "width at half heigh", your definition might differ.)

LabVIEW

2d Gaussian Fit Problem.

Solved!

The one in message 17 appears to be corrupt.

Lynn

Message 21 of 24

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V12 from message 17 is corrupt.

Message 22 of 24

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It seems that several zip files are corrupted here. These were fine back in the days, maybe the forum (virus scanner etc.) Broke them. They were all fine when posted.

I need to check my other computers, the originals are not on my laptop.

LabVIEW Champion.

Message 23 of 24

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I will look at your lovely example and attempt to modify it to fit higher-order Gauss-Hermite spatial modes of laser intensity. If successful, I'll post it back.