Hi
I have a defined a source rectangle in OpticStudio, and am trying to analyse the rays that it will produce.
When I analyse it, the rays come out in a straight line orthogonal to the plane of the source, which is not what I expected, as I expected to see rays emanating out to the sides as well. It is not a laser light, and I expected some diffusion to occur.
What do I need to do to see these rays?
Many thanks
Best Regards
Jo Ling
Best answer by David
Hi Jo Ling,
The Help documentation for Source Rectangle references Source Ellipse for defining the angular distribution. Three methods are offered: 1) rays appear to emit from a point , 2) a Cosine^n distribution, 3) a distribution which is Gaussian in the x and y direction cosines which are l and m. If you follow the directions given, any of these distributions will produce rays which are not collimated.
I often use a Gaussian distribution. From the given formula, I = I0 Exp[-(Gx l^2+Gy m^2)] it is possible to show that if Gx = Gy = G then the distribution is radially symmetric and that if G = 2 / Sin(theta)^2 then the intensity falls to 1/E^2 at an angle theta from the z axis. Further, the distribution is approximately Gaussian in theta for small angles.
Kind regards,
David
+4Hi Jo Ling,
The Help documentation for Source Rectangle references Source Ellipse for defining the angular distribution. Three methods are offered: 1) rays appear to emit from a point , 2) a Cosine^n distribution, 3) a distribution which is Gaussian in the x and y direction cosines which are l and m. If you follow the directions given, any of these distributions will produce rays which are not collimated.
I often use a Gaussian distribution. From the given formula, I = I0 Exp[-(Gx l^2+Gy m^2)] it is possible to show that if Gx = Gy = G then the distribution is radially symmetric and that if G = 2 / Sin(theta)^2 then the intensity falls to 1/E^2 at an angle theta from the z axis. Further, the distribution is approximately Gaussian in theta for small angles.
Kind regards,
David
Hi David.
Thank you for this; I will try the Gaussian distribution for my analysis.
Best Regards
Jo
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