How do I generate the random number inside the annulus

7 vues (au cours des 30 derniers jours)
Laura
Laura le 27 Sep 2013
Commenté : Ababa Babab le 12 Mai 2020
Hi everyone,
I want to generate 50 particles inside the gap between two circles. The small circle has radius of 5 and the outer circle has radius of 5.12. I want to make sure the particles do not overlap.
Also, can we assign a seed number so the positions of particles will be the same every time i used the same number of seed instead based on clock of computer?
Please helps.
Thanks

Réponse acceptée

Roger Stafford
Roger Stafford le 27 Sep 2013
Modifié(e) : Roger Stafford le 27 Sep 2013
% Set your seed here if desired
n = 50;
r1 = 5; r2 = 5.12;
r = sqrt(r1^2+(r2^2-r1^2)*rand(1,n)); % Using square root here ensures distribution uniformity by area
t = 2*pi*rand(1,n);
x = r.*cos(t);
y = r.*sin(t);
plot(x,y,'y.')
axis equal
Note: You worry me where you say "make sure the particles do not overlap". The yellow dots here are assumed to have zero width so they can't overlap.
  2 commentaires
Image Analyst
Image Analyst le 28 Sep 2013
I'm always impressed by how clever and creative Roger is. (And Walter too of course).
Ababa Babab
Ababa Babab le 12 Mai 2020
Thank you Roger for this answer, it has helped me.
So, we can consider now that this method is used to implement uniform distribution of users in rings ??
Can you help me with a reference that has stated this method for uniform distribution?

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Walter Roberson
Walter Roberson le 27 Sep 2013
What probability function do you want? Equal probability by angle? By radius? By x and y coordinates? By area?
If you were to imagine slitting the annulus at one point, the result would be smoothly deformable to a rectangle. Therefore one way of proceeding would be to generate points on a rectangle and then projecting those coordinates smoothly into the annulus. The most natural transformation of points uniformly randomly generated on a rectangle would result in equal density for radii but not by area. But you didn't say which was important.
If you have a newer MATLAB, see rng() to set the random seed.

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