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May 26, 2021 21:39
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import numpy as np | |
def cosd( ang ): | |
return np.cos(2*np.pi*ang/360.0) | |
def sind( ang): | |
return np.sin(2*np.pi*ang/360.0) | |
def measure3( alpha, phi, r1,r2): | |
d = 2 | |
Vmax = 10 | |
Vmin = 0 | |
V = -9.99 | |
c = cosd(2*(alpha-phi)) | |
s = sind(2*(alpha-phi)) | |
x = np.sign( 1 + c - 2 *r1) | |
v = r2 * np.power(np.abs(s) ,d)*(Vmax-Vmin)-Vmax | |
sel = ( v < V).astype(np.float32) | |
return x,v,sel | |
def test3(): | |
nb = 20000000 | |
#We work in degrees | |
phi = np.random.rand(nb) * 360.0 | |
#phi = np.ones((nb))*90 | |
phi2 = phi + 90.0 | |
ra1 = np.random.rand(nb) | |
ra2 = np.random.rand(nb) | |
rb1 = np.random.rand(nb) | |
rb2 = np.random.rand(nb) | |
alpha = 0 | |
beta = 90 | |
xa,va,sela = measure3(alpha,phi,ra1,ra2) | |
xb,vb,selb = measure3(beta,phi2,rb1,rb2) | |
print(np.mean( (xa+1.0) /2.0)) | |
sidebyside = np.stack( [xa,xb,sela,selb],axis=1) | |
selected = sidebyside[ np.logical_and( sidebyside[:,2]==1.0,sidebyside[:,3]==1.0) ,0:2] | |
coincmean = np.mean( selected[:,0] == selected[:,1] ) | |
print(sidebyside) | |
print(selected) | |
print( "nbselected : ") | |
print( selected.shape[0]) | |
print("coincmean ") | |
print(coincmean) | |
print("target") | |
print( 1-cosd(alpha-beta)**2) | |
if __name__=="__main__": | |
test3() |
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