OK, forget my previous answer.
Use this:
function [n] = sellmeier(KL, lambda)
K1 = KL(1); K2 = KL(2); K3 = KL(3);
L1 = KL(4); L2 = KL(5); L3 = KL(6);
lambdacarre = lambda.*lambda;
foo1 = lambdacarre - L1;
foo2 = lambdacarre - L2;
foo3 = lambdacarre - L3;
foo =
Hello,
I can tell you what happened: for some values of lambda and some values
of K(4,5,6), your function is undefined and the leastsq goes kaboom!
It is never a good idea to fit a function that can become undefined for
some parameters/xvalues.
Try to redefine the function you fit to avoid
Hello all,
Let's talk about optics.
I have a glass, its refraction index n varies with the wavelength lamba.
I have a CSV file with the corresponding data (verre_HOQ.cvs attached), 52
points.
I want to model this with the Sellmeier model
https://en.wikipedia.org/wiki/Sellmeier_equation
and use
