def photon(self):
photon = Photon()
photon.source = self.source_id
photon.position = np.array(self.position)
photon.direction = np.array(self.direction)
photon.active = True
photon.wavelength = self.wavelength
# If use_polarisation is set generate a random polarisation vector of the photon
if self.use_random_polarisation:
# Randomise rotation angle around xy-plane, the transform from +z to the direction of the photon
vec = random_spherecial_vector()
vec[2] = 0.
vec = norm(vec)
R = rotation_matrix_from_vector_alignment(self.direction,
[0., 0., 1.])
photon.polarisation = transform_direction(vec, R)
else:
photon.polarisation = None
photon.id = self.throw
self.throw = self.throw + 1
return photon
def photon(self):
photon = Photon()
photon.source = self.source_id
photon.position = np.array(self.position)
photon.direction = np.array(self.direction)
photon.active = True
photon.wavelength = self.wavelength
# If use_polarisation is set generate a random polarisation vector of the photon
if self.use_random_polarisation:
# Randomise rotation angle around xy-plane, the transform from +z to the direction of the photon
vec = random_spherecial_vector()
vec[2] = 0.
vec = norm(vec)
R = rotation_matrix_from_vector_alignment(self.direction, [0,0,1])
photon.polarisation = transform_direction(vec, R)
else:
photon.polarisation = None
photon.id = self.throw
self.throw = self.throw + 1
return photon
def photon(self):
photon = Photon()
photon.source = self.source_id
photon.id = self.throw
self.throw = self.throw + 1
phi = np.random.uniform(self.phimin, self.phimax)
theta = np.random.uniform(self.thetamin, self.thetamax)
x = np.cos(phi) * np.sin(theta)
y = np.sin(phi) * np.sin(theta)
z = np.cos(theta)
direction = (x, y, z)
transform = tf.translation_matrix((0, 0, 0))
point = transform_point(self.center, transform)
photon.direction = direction
photon.position = point
if self.spectrum != None:
photon.wavelength = self.spectrum.wavelength_at_probability(
np.random.uniform())
else:
photon.wavelength = self.wavelength
photon.active = True
return photon
def photon(self):
photon = Photon()
photon.source = self.source_id
photon.id = self.throw
self.throw = self.throw + 1
# Position
x = np.random.uniform(self.planeorigin[0], self.planeextent[0])
y = np.random.uniform(self.planeorigin[1], self.planeextent[1])
z = np.random.uniform(self.planeorigin[2], self.planeextent[2])
photon.position = np.array((x, y, z))
# Direction
focuspoint = np.array((0., 0., 0.))
focuspoint[0] = self.linepoint[0] + np.random.uniform(
-self.focussize, self.focussize)
focuspoint[1] = self.linepoint[1] + np.random.uniform(
-self.focussize, self.focussize)
focuspoint[2] = photon.position[2]
direction = focuspoint - photon.position
modulus = (direction[0]**2 + direction[1]**2 + direction[2]**2)**0.5
photon.direction = direction / modulus
# Wavelength
if self.spectrum != None:
photon.wavelength = self.spectrum.wavelength_at_probability(
np.random.uniform())
else:
photon.wavelength = self.wavelength
return photon
def photon(self):
photon = Photon()
photon.source = self.source_id
photon.id = self.throw
self.throw = self.throw + 1
intphi = np.random.randint(1, self.spacing+1)
inttheta = np.random.randint(1, self.spacing+1)
phi = intphi*(self.phimax-self.phimin)/self.spacing
if self.thetamin == self.thetamax:
theta = self.thetamin
else:
theta = inttheta*(self.thetamax-self.thetamin)/self.spacing
x = np.cos(phi)*np.sin(theta)
y = np.sin(phi)*np.sin(theta)
z = np.cos(theta)
direction = (x,y,z)
transform = tf.translation_matrix((0,0,0))
point = transform_point(self.center, transform)
photon.direction = direction
photon.position = point
if self.spectrum != None:
photon.wavelength = self.spectrum.wavelength_at_probability(np.random.uniform())
else:
photon.wavelength = self.wavelength
photon.active = True
return photon
def photon(self):
photon = Photon()
photon.source = self.source_id
photon.position = np.array(self.position)
photon.direction = np.array(self.direction)
photon.active = True
photon.wavelength = self.wavelength
photon.polarisation = self.polarisation
photon.id = self.throw
self.throw = self.throw + 1
return photon
def photon(self):
photon = Photon()
photon.source = self.source_id
photon.id = self.throw
self.throw = self.throw + 1
# Position
x = np.random.uniform(self.planeorigin[0],self.planeextent[0])
y = np.random.uniform(self.planeorigin[1],self.planeextent[1])
z = np.random.uniform(self.planeorigin[2],self.planeextent[2])
photon.position = np.array((x,y,z))
# Direction
focuspoint = np.array((0.,0.,0.))
focuspoint[0] = self.linepoint[0] + np.random.uniform(-self.focussize,self.focussize)
focuspoint[1] = self.linepoint[1] + np.random.uniform(-self.focussize,self.focussize)
focuspoint[2] = photon.position[2]
direction = focuspoint - photon.position
modulus = (direction[0]**2+direction[1]**2+direction[2]**2)**0.5
photon.direction = direction/modulus
# Wavelength
if self.spectrum != None:
photon.wavelength = self.spectrum.wavelength_at_probability(np.random.uniform())
else:
photon.wavelength = self.wavelength
return photon
def photon(self):
photon = Photon()
photon.source = self.source_id
photon.position = np.array(self.position)
photon.direction = np.array(self.direction)
photon.active = True
photon.wavelength = self.wavelength
photon.polarisation = self.polarisation
photon.id = self.throw
self.throw = self.throw + 1
return photon
def photon(self):
photon = Photon()
photon.source = self.source_id
photon.id = self.throw
self.throw = self.throw + 1
# Create a point which is on the surface of the finite plane in it's local frame
x = np.random.uniform(0., self.length)
y = np.random.uniform(0., self.width)
local_point = (x, y, 0.)
# Transform the direciton
photon.position = transform_point(local_point, self.plane.transform)
photon.direction = self.direction
photon.active = True
if self.spectrum != None:
photon.wavelength = self.spectrum.wavelength_at_probability(np.random.uniform())
else:
photon.wavelength = self.wavelength
return photon
def photon(self):
photon = Photon()
photon.source = self.source_id
photon.id = self.throw
self.throw = self.throw + 1
# Position of emission
phi = np.random.uniform(0., 2 * np.pi)
r = np.random.uniform(0., self.radius)
x = r * np.cos(phi)
y = r * np.sin(phi)
z = np.random.uniform(0., self.length)
local_center = (x, y, z)
photon.position = transform_point(local_center, self.shape.transform)
# Direction of emission (no need to transform if meant to be isotropic)
phi = np.random.uniform(0., 2 * np.pi)
theta = np.random.uniform(0., np.pi)
x = np.cos(phi) * np.sin(theta)
y = np.sin(phi) * np.sin(theta)
z = np.cos(theta)
local_direction = (x, y, z)
photon.direction = local_direction
# Set wavelength of photon
if self.spectrum != None:
photon.wavelength = self.spectrum.wavelength_at_probability(
np.random.uniform())
else:
photon.wavelength = self.wavelength
# Further initialisation
photon.active = True
return photon
def photon(self):
photon = Photon()
photon.source = self.source_id
photon.id = self.throw
self.throw = self.throw + 1
#This does not work, since the area element scales with Sin(theta) d theta d phi
#See http://mathworld.wolfram.com/SpherePointPicking.html
#Reimplementing the Randomizer
phi = np.random.uniform(self.phimin, self.phimax)
#theta = np.random.uniform(self.thetamin, self.thetamax)
theta = -1
while theta > self.thetamax or theta < self.thetamin:
theta = np.arccos(2 * np.random.uniform(0, 1) - 1)
x = np.cos(phi) * np.sin(theta)
y = np.sin(phi) * np.sin(theta)
z = np.cos(theta)
direction = (x, y, z)
transform = tf.translation_matrix((0, 0, 0))
point = transform_point(self.center, transform)
photon.direction = direction
photon.position = point
if self.spectrum != None:
photon.wavelength = self.spectrum.wavelength_at_probability(
np.random.uniform())
else:
photon.wavelength = self.wavelength
photon.active = True
return photon
def photon(self):
photon = Photon()
photon.source = self.source_id
photon.id = self.throw
self.throw = self.throw + 1
# Position of emission
phi = np.random.uniform(0., 2*np.pi)
r = np.random.uniform(0.,self.radius)
x = r*np.cos(phi)
y = r*np.sin(phi)
z = np.random.uniform(0.,self.length)
local_center = (x,y,z)
photon.position = transform_point(local_center, self.shape.transform)
# Direction of emission (no need to transform if meant to be isotropic)
phi = np.random.uniform(0.,2*np.pi)
theta = np.random.uniform(0.,np.pi)
x = np.cos(phi)*np.sin(theta)
y = np.sin(phi)*np.sin(theta)
z = np.cos(theta)
local_direction = (x,y,z)
photon.direction = local_direction
# Set wavelength of photon
if self.spectrum != None:
photon.wavelength = self.spectrum.wavelength_at_probability(np.random.uniform())
else:
photon.wavelength = self.wavelength
# Further initialisation
photon.active = True
return photon
def photon(self):
photon = Photon()
photon.source = self.source_id
photon.id = self.throw
self.throw = self.throw + 1
#This does not work, since the area element scales with Sin(theta) d theta d phi
#See http://mathworld.wolfram.com/SpherePointPicking.html
#Reimplementing the Randomizer
phi = np.random.uniform(self.phimin, self.phimax)
#theta = np.random.uniform(self.thetamin, self.thetamax)
theta = -1
while theta > self.thetamax or theta < self.thetamin :
theta = np.arccos(2* np.random.uniform(0,1)-1)
x = np.cos(phi)*np.sin(theta)
y = np.sin(phi)*np.sin(theta)
z = np.cos(theta)
direction = (x,y,z)
transform = tf.translation_matrix((0,0,0))
point = transform_point(self.center, transform)
photon.direction = direction
photon.position = point
if self.spectrum != None:
photon.wavelength = self.spectrum.wavelength_at_probability(np.random.uniform())
else:
photon.wavelength = self.wavelength
photon.active = True
return photon
