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import numpy as np | |
def uvtoxy(u, v, Bu=1.4, A=3., Bv=1.8): | |
u = np.array(u, dtype=float) | |
v = np.array(v, dtype=float) | |
R = A * np.sqrt(np.exp(2*u/ Bu) - (2*np.exp(u/Bu)*np.cos(v/Bv)) + 1) | |
phi = np.arctan2( | |
(np.exp(u/Bu)*np.sin(v/Bv)), | |
((np.exp(u/Bu)*np.cos(v/Bv))-1) | |
) | |
x = R*np.cos(phi) | |
y = R*np.sin(phi) | |
return x, y | |
def xytouv(x, y, Bu=1.4, A=3., Bv=1.8): | |
x = np.array(x, dtype=float) | |
y = np.array(y, dtype=float) | |
R = np.sqrt(x**2 + y**2) | |
phi = np.arctan2(y, x) | |
u = Bu*np.log( | |
np.sqrt(R**2 + A**2 + 2*A*R*np.cos(phi))) \ | |
- Bu*np.log(A) | |
v = Bv*np.arctan2( | |
(R*np.sin(phi)), | |
R*np.cos(phi)+A | |
) | |
return u, v | |
def unit_test(): | |
x1 = np.random.random(1000)*20-10 | |
y1 = np.random.random(1000)*20-10 | |
u, v = xytouv(x1, y1) | |
x2, y2 = uvtoxy(u, v) | |
assert(np.sum(np.abs(x1-x2)) < .0001) | |
assert(np.sum(np.abs(y1-y2)) < .0001) | |
unit_test() |
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