I have an N-body simulation script that works with thousand of particles. It outputs a final 2D projection of the position of the particles, and I want to run it multiple times with different rotation angles around a given axis, to be able to see the final 2D result from different perspectives. To accomplish this, I added a little code at the beginning:
# Euler-Rodrigues formula definition for arbitrary 3D rotation
def rotation_matrix(axis,angle):
axis = axis/math.sqrt(dot(axis,axis))
a = math.cos(angle/2)
b,c,d = -axis*math.sin(angle/2)
return array([[a*a+b*b-c*c-d*d, 2*(b*c-a*d), 2*(b*d+a*c)],
[2*(b*c+a*d), a*a+c*c-b*b-d*d, 2*(c*d-a*b)],
[2*(b*d-a*c), 2*(c*d+a*b), a*a+d*d-b*b-c*c]])
And then:
# 3D rotation
angle = float(sys.argv[7])*math.pi/180.0
axis = array([0,0,1])
xAr,yAr,zAr=[],[],[] #arrays for rotated particles
for xi,yi,zi in zip(xA,yA,zA): #cycle to rotate every particle
ci = array([xi,yi,zi])
cr = dot(rotation_matrix(axis,angle),ci)
xAr.append(cr[0])
yAr.append(cr[1])
zAr.append(cr[2])
xA,yA,zA = array(xAr), array(yAr), array(zAr)
The core part of the script starts after this. In summary, originally the scripts does this:
- reads model > runs simulation > outputs a 2D projection
and I added my part so that now:
- reads model > rotates every particle in 3D > runs simulation > outputs a 2D projection
but I found that the rotation process takes too much time. Is there a way or a different approach in Python to speed up this? (if it helps, I only want the final 2D projection rotated along a given axis).