DAMASK_EICMD/lib/damask/orientation.py

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import numpy,math,random
# ******************************************************************************************
class Rodrigues:
# ******************************************************************************************
def __init__(self, vector = numpy.zeros(3)):
self.vector = vector
def asQuaternion(self):
norm = numpy.linalg.norm(self.vector)
halfAngle = numpy.arctan(norm)
return Quaternion(numpy.cos(halfAngle),numpy.sin(halfAngle)*self.vector/norm)
def asAngleAxis(self):
norm = numpy.linalg.norm(self.vector)
halfAngle = numpy.arctan(norm)
return (2.0*halfAngle,self.vector/norm)
# ******************************************************************************************
class Quaternion:
# ******************************************************************************************
# All methods and naming conventions based off
# http://www.euclideanspace.com/maths/algebra/realNormedAlgebra/quaternions
# w is the real part, (x, y, z) are the imaginary parts
def __init__(self, quatArray=[1.0,0.0,0.0,0.0]):
self.w, \
self.x, \
self.y, \
self.z = quatArray
self = self.homomorph()
def __iter__(self):
return iter([self.w,self.x,self.y,self.z])
def __copy__(self):
Q = Quaternion([self.w,self.x,self.y,self.z])
return Q
copy = __copy__
def __repr__(self):
return 'Quaternion(real=%+.4f, imag=<%+.4f, %+.4f, %+.4f>)' % \
(self.w, self.x, self.y, self.z)
def __mul__(self, other):
try: # quaternion
Ax = self.x
Ay = self.y
Az = self.z
Aw = self.w
Bx = other.x
By = other.y
Bz = other.z
Bw = other.w
Q = Quaternion()
Q.x = + Ax * Bw + Ay * Bz - Az * By + Aw * Bx
Q.y = - Ax * Bz + Ay * Bw + Az * Bx + Aw * By
Q.z = + Ax * By - Ay * Bx + Az * Bw + Aw * Bz
Q.w = - Ax * Bx - Ay * By - Az * Bz + Aw * Bw
return Q
except: pass
try: # vector (perform active rotation, i.e. q*v*q.conjugated)
w = self.w
x = self.x
y = self.y
z = self.z
Vx = other[0]
Vy = other[1]
Vz = other[2]
return numpy.array([\
w * w * Vx + 2 * y * w * Vz - 2 * z * w * Vy + \
x * x * Vx + 2 * y * x * Vy + 2 * z * x * Vz - \
z * z * Vx - y * y * Vx,
2 * x * y * Vx + y * y * Vy + 2 * z * y * Vz + \
2 * w * z * Vx - z * z * Vy + w * w * Vy - \
2 * x * w * Vz - x * x * Vy,
2 * x * z * Vx + 2 * y * z * Vy + \
z * z * Vz - 2 * w * y * Vx - y * y * Vz + \
2 * w * x * Vy - x * x * Vz + w * w * Vz ])
except: pass
try: # scalar
Q = self.copy()
Q.w *= other
Q.x *= other
Q.y *= other
Q.z *= other
return Q
except:
return self.copy()
def __imul__(self, other):
try: # Quaternion
Ax = self.x
Ay = self.y
Az = self.z
Aw = self.w
Bx = other.x
By = other.y
Bz = other.z
Bw = other.w
self.x = Ax * Bw + Ay * Bz - Az * By + Aw * Bx
self.y = -Ax * Bz + Ay * Bw + Az * Bx + Aw * By
self.z = Ax * By - Ay * Bx + Az * Bw + Aw * Bz
self.w = -Ax * Bx - Ay * By - Az * Bz + Aw * Bw
except: pass
return self
def __div__(self, other):
if isinstance(other, (int,float,long)):
w = self.w / other
x = self.x / other
y = self.y / other
z = self.z / other
return self.__class__([w,x,y,z])
else:
return NotImplemented
def __idiv__(self, other):
if isinstance(other, (int,float,long)):
self.w /= other
self.x /= other
self.y /= other
self.z /= other
return self
def __add__(self, other):
if isinstance(other, Quaternion):
w = self.w + other.w
x = self.x + other.x
y = self.y + other.y
z = self.z + other.z
return self.__class__([w,x,y,z])
else:
return NotImplemented
def __iadd__(self, other):
if isinstance(other, Quaternion):
self.w += other.w
self.x += other.x
self.y += other.y
self.z += other.z
return self
def __sub__(self, other):
if isinstance(other, Quaternion):
Q = self.copy()
Q.w -= other.w
Q.x -= other.x
Q.y -= other.y
Q.z -= other.z
return Q
else:
return self.copy()
def __isub__(self, other):
if isinstance(other, Quaternion):
self.w -= other.w
self.x -= other.x
self.y -= other.y
self.z -= other.z
return self
def __neg__(self):
self.w = -self.w
self.x = -self.x
self.y = -self.y
self.z = -self.z
return self
def __abs__(self):
return math.sqrt(self.w ** 2 + \
self.x ** 2 + \
self.y ** 2 + \
self.z ** 2)
magnitude = __abs__
def __eq__(self,other):
return (abs(self.w-other.w) < 1e-8 and \
abs(self.x-other.x) < 1e-8 and \
abs(self.y-other.y) < 1e-8 and \
abs(self.z-other.z) < 1e-8) \
or \
(abs(-self.w-other.w) < 1e-8 and \
abs(-self.x-other.x) < 1e-8 and \
abs(-self.y-other.y) < 1e-8 and \
abs(-self.z-other.z) < 1e-8)
def __ne__(self,other):
return not __eq__(self,other)
def __cmp__(self,other):
return cmp(self.Rodrigues(),other.Rodrigues())
def magnitude_squared(self):
return self.w ** 2 + \
self.x ** 2 + \
self.y ** 2 + \
self.z ** 2
def identity(self):
self.w = 1.
self.x = 0.
self.y = 0.
self.z = 0.
return self
def rotateBy_angleaxis(self, angle, axis):
self *= Quaternion.fromAngleAxis(angle, axis)
return self
def rotateBy_Eulers(self, heading, attitude, bank):
self *= Quaternion.fromEulers(eulers, type)
return self
def rotateBy_matrix(self, m):
self *= Quaternion.fromMatrix(m)
return self
def normalize(self):
d = self.magnitude()
if d > 0.0:
self /= d
return self
def conjugate(self):
self.x = -self.x
self.y = -self.y
self.z = -self.z
return self
def inverse(self):
d = self.magnitude()
if d > 0.0:
self.conjugate()
self /= d
return self
def homomorph(self):
if self.w < 0.0:
self.w = -self.w
self.x = -self.x
self.y = -self.y
self.z = -self.z
return self
def normalized(self):
return self.copy().normalize()
def conjugated(self):
return self.copy().conjugate()
def inversed(self):
return self.copy().inverse()
def homomorphed(self):
return self.copy().homomorph()
def asList(self):
return [i for i in self]
def asMatrix(self):
return numpy.array([[1.0-2.0*(self.y*self.y+self.z*self.z), 2.0*(self.x*self.y-self.z*self.w), 2.0*(self.x*self.z+self.y*self.w)],
[ 2.0*(self.x*self.y+self.z*self.w), 1.0-2.0*(self.x*self.x+self.z*self.z), 2.0*(self.y*self.z-self.x*self.w)],
[ 2.0*(self.x*self.z-self.y*self.w), 2.0*(self.x*self.w+self.y*self.z), 1.0-2.0*(self.x*self.x+self.y*self.y)]])
def asAngleAxis(self):
if self.w > 1:
self.normalize()
angle = 2 * math.acos(self.w)
s = math.sqrt(1 - self.w ** 2)
if s < 0.001:
return angle, nunmpy.array([1.0, 0.0, 0.0])
else:
return angle, numpy.array([self.x / s, self.y / s, self.z / s])
def asRodrigues(self):
if self.w != 0.0:
return numpy.array([self.x, self.y, self.z])/self.w
else:
return numpy.array([float('inf')]*3)
def asEulers(self,type='bunge'):
angles = [0.0,0.0,0.0]
if type.lower() == 'bunge' or type.lower() == 'zxz':
angles[0] = math.atan2( self.x*self.z+self.y*self.w,
-self.y*self.z+self.x*self.w)
# angles[1] = math.acos(-self.x**2-self.y**2+self.z**2+self.w**2)
angles[1] = math.acos(1.0 - 2*(self.x**2+self.y**2))
angles[2] = math.atan2( self.x*self.z-self.y*self.w,
+self.y*self.z+self.x*self.w)
if angles[0] < 0.0:
angles[0] += 2*math.pi
if angles[1] < 0.0:
angles[1] += math.pi
angles[2] *= -1
if angles[2] < 0.0:
angles[2] += 2*math.pi
return angles
# # Static constructors
@classmethod
def fromIdentity(cls):
return cls()
@classmethod
def fromRandom(cls):
r1 = random.random()
r2 = random.random()
r3 = random.random()
w = math.cos(2.0*math.pi*r1)*math.sqrt(r3)
x = math.sin(2.0*math.pi*r2)*math.sqrt(1.0-r3)
y = math.cos(2.0*math.pi*r2)*math.sqrt(1.0-r3)
z = math.sin(2.0*math.pi*r1)*math.sqrt(r3)
return cls([w,x,y,z])
@classmethod
def fromRodrigues(cls, rodrigues):
if not isinstance(rodrigues, numpy.ndarray): rodrigues = numpy.array(rodrigues)
halfangle = math.atan(numpy.linalg.norm(rodrigues))
c = math.cos(halfangle)
w = c
x,y,z = c*rodrigues
return cls([w,x,y,z])
@classmethod
def fromAngleAxis(cls, angle, axis):
if not isinstance(axis, numpy.ndarray): axis = numpy.array(axis)
axis /= numpy.linalg.norm(axis)
s = math.sin(angle / 2.0)
w = math.cos(angle / 2.0)
x = axis[0] * s
y = axis[1] * s
z = axis[2] * s
return cls([w,x,y,z])
@classmethod
def fromEulers(cls, eulers, type = 'Bunge'):
c1 = math.cos(eulers[0] / 2.0)
s1 = math.sin(eulers[0] / 2.0)
c2 = math.cos(eulers[1] / 2.0)
s2 = math.sin(eulers[1] / 2.0)
c3 = math.cos(eulers[2] / 2.0)
s3 = math.sin(eulers[2] / 2.0)
if type.lower() == 'bunge' or type.lower() == 'zxz':
w = c1 * c2 * c3 - s1 * c2 * s3
x = c1 * s2 * c3 + s1 * s2 * s3
y = - c1 * s2 * s3 + s1 * s2 * c3
z = c1 * c2 * s3 + s1 * c2 * c3
else:
print 'unknown Euler convention'
w = c1 * c2 * c3 - s1 * s2 * s3
x = s1 * s2 * c3 + c1 * c2 * s3
y = s1 * c2 * c3 + c1 * s2 * s3
z = c1 * s2 * c3 - s1 * c2 * s3
return cls([w,x,y,z])
@classmethod
def fromMatrix(cls, m):
if m[0,0] + m[1,1] + m[2,2] > 0.00000001:
t = m[0,0] + m[1,1] + m[2,2] + 1.0
s = 0.5/math.sqrt(t)
return cls(
[ s*t,
(m[1,2] - m[2,1])*s,
(m[2,0] - m[0,2])*s,
(m[0,1] - m[1,0])*s,
])
elif m[0,0] > m[1,1] and m[0,0] > m[2,2]:
t = m[0,0] - m[1,1] - m[2,2] + 1.0
s = 0.5/math.sqrt(t)
return cls(
[ (m[1,2] - m[2,1])*s,
s*t,
(m[0,1] + m[1,0])*s,
(m[2,0] + m[0,2])*s,
])
elif m[1,1] > m[2,2]:
t = -m[0,0] + m[1,1] - m[2,2] + 1.0
s = 0.5/math.sqrt(t)
return cls(
[ (m[2,0] - m[0,2])*s,
(m[0,1] + m[1,0])*s,
s*t,
(m[1,2] + m[2,1])*s,
])
else:
t = -m[0,0] - m[1,1] + m[2,2] + 1.0
s = 0.5/math.sqrt(t)
return cls(
[ (m[0,1] - m[1,0])*s,
(m[2,0] + m[0,2])*s,
(m[1,2] + m[2,1])*s,
s*t,
])
@classmethod
def new_interpolate(cls, q1, q2, t):
assert isinstance(q1, Quaternion) and isinstance(q2, Quaternion)
Q = cls()
costheta = q1.w * q2.w + q1.x * q2.x + q1.y * q2.y + q1.z * q2.z
if costheta < 0.:
costheta = -costheta
q1 = q1.conjugated()
elif costheta > 1:
costheta = 1
theta = math.acos(costheta)
if abs(theta) < 0.01:
Q.w = q2.w
Q.x = q2.x
Q.y = q2.y
Q.z = q2.z
return Q
sintheta = math.sqrt(1.0 - costheta * costheta)
if abs(sintheta) < 0.01:
Q.w = (q1.w + q2.w) * 0.5
Q.x = (q1.x + q2.x) * 0.5
Q.y = (q1.y + q2.y) * 0.5
Q.z = (q1.z + q2.z) * 0.5
return Q
ratio1 = math.sin((1 - t) * theta) / sintheta
ratio2 = math.sin(t * theta) / sintheta
Q.w = q1.w * ratio1 + q2.w * ratio2
Q.x = q1.x * ratio1 + q2.x * ratio2
Q.y = q1.y * ratio1 + q2.y * ratio2
Q.z = q1.z * ratio1 + q2.z * ratio2
return Q
# ******************************************************************************************
class Symmetry:
# ******************************************************************************************
lattices = [None,'orthorhombic','tetragonal','hexagonal','cubic',]
def __init__(self, symmetry = None):
if isinstance(symmetry, basestring) and symmetry.lower() in Symmetry.lattices:
self.lattice = symmetry.lower()
else:
self.lattice = None
def __copy__(self):
return self.__class__(self.lattice)
copy = __copy__
def __repr__(self):
return '%s' % (self.lattice)
def __eq__(self, other):
return self.lattice == other.lattice
def __neq__(self, other):
return not self.__eq__(other)
def __cmp__(self,other):
return cmp(Symmetry.lattices.index(self.lattice),Symmetry.lattices.index(other.lattice))
def equivalentQuaternions(self,quaternion):
'''
List of symmetrically equivalent quaternions based on own symmetry.
'''
if self.lattice == 'cubic':
symQuats = [
[ 1.0,0.0,0.0,0.0 ],
[ 0.0,1.0,0.0,0.0 ],
[ 0.0,0.0,1.0,0.0 ],
[ 0.0,0.0,0.0,1.0 ],
[ 0.0, 0.0, 0.5*math.sqrt(2), 0.5*math.sqrt(2) ],
[ 0.0, 0.0, 0.5*math.sqrt(2),-0.5*math.sqrt(2) ],
[ 0.0, 0.5*math.sqrt(2), 0.0, 0.5*math.sqrt(2) ],
[ 0.0, 0.5*math.sqrt(2), 0.0,-0.5*math.sqrt(2) ],
[ 0.0, 0.5*math.sqrt(2),-0.5*math.sqrt(2), 0.0 ],
[ 0.0,-0.5*math.sqrt(2),-0.5*math.sqrt(2), 0.0 ],
[ 0.5, 0.5, 0.5, 0.5 ],
[-0.5, 0.5, 0.5, 0.5 ],
[-0.5, 0.5, 0.5,-0.5 ],
[-0.5, 0.5,-0.5, 0.5 ],
[-0.5,-0.5, 0.5, 0.5 ],
[-0.5,-0.5, 0.5,-0.5 ],
[-0.5,-0.5,-0.5, 0.5 ],
[-0.5, 0.5,-0.5,-0.5 ],
[-0.5*math.sqrt(2), 0.0, 0.0, 0.5*math.sqrt(2) ],
[ 0.5*math.sqrt(2), 0.0, 0.0, 0.5*math.sqrt(2) ],
[-0.5*math.sqrt(2), 0.0, 0.5*math.sqrt(2), 0.0 ],
[-0.5*math.sqrt(2), 0.0,-0.5*math.sqrt(2), 0.0 ],
[-0.5*math.sqrt(2), 0.5*math.sqrt(2), 0.0, 0.0 ],
[-0.5*math.sqrt(2),-0.5*math.sqrt(2), 0.0, 0.0 ],
]
elif self.lattice == 'hexagonal':
symQuats = [
[ 1.0,0.0,0.0,0.0 ],
[ 0.0,1.0,0.0,0.0 ],
[ 0.0,0.0,1.0,0.0 ],
[ 0.0,0.0,0.0,1.0 ],
[-0.5*math.sqrt(3), 0.0, 0.0, 0.5 ],
[-0.5*math.sqrt(3), 0.0, 0.0,-0.5 ],
[ 0.0, 0.5*math.sqrt(3), 0.5, 0.0 ],
[ 0.0,-0.5*math.sqrt(3), 0.5, 0.0 ],
[ 0.0, 0.5,-0.5*math.sqrt(3), 0.0 ],
[ 0.0,-0.5,-0.5*math.sqrt(3), 0.0 ],
[ 0.5, 0.0, 0.0, 0.5*math.sqrt(3) ],
[-0.5, 0.0, 0.0, 0.5*math.sqrt(3) ],
]
elif self.lattice == 'tetragonal':
symQuats = [
[ 1.0,0.0,0.0,0.0 ],
[ 0.0,1.0,0.0,0.0 ],
[ 0.0,0.0,1.0,0.0 ],
[ 0.0,0.0,0.0,1.0 ],
[ 0.0, 0.5*math.sqrt(2), 0.5*math.sqrt(2), 0.0 ],
[ 0.0,-0.5*math.sqrt(2), 0.5*math.sqrt(2), 0.0 ],
[ 0.5*math.sqrt(2), 0.0, 0.0, 0.5*math.sqrt(2) ],
[-0.5*math.sqrt(2), 0.0, 0.0, 0.5*math.sqrt(2) ],
]
elif self.lattice == 'orthorhombic':
symQuats = [
[ 1.0,0.0,0.0,0.0 ],
[ 0.0,1.0,0.0,0.0 ],
[ 0.0,0.0,1.0,0.0 ],
[ 0.0,0.0,0.0,1.0 ],
]
else:
symQuats = [
[ 1.0,0.0,0.0,0.0 ],
]
return [quaternion*Quaternion(q) for q in symQuats]
def inFZ(self,R):
'''
Check whether given Rodrigues vector falls into fundamental zone of own symmetry.
'''
if isinstance(R, Quaternion): R = R.asRodrigues() # translate accidentially passed quaternion
R = abs(R) # fundamental zone in Rodrigues space is point symmetric around origin
if self.lattice == 'cubic':
return math.sqrt(2.0)-1.0 >= R[0] \
and math.sqrt(2.0)-1.0 >= R[1] \
and math.sqrt(2.0)-1.0 >= R[2] \
and 1.0 >= R[0] + R[1] + R[2]
elif self.lattice == 'hexagonal':
return 1.0 >= R[0] and 1.0 >= R[1] and 1.0 >= R[2] \
and 2.0 >= math.sqrt(3)*R[0] + R[1] \
and 2.0 >= math.sqrt(3)*R[1] + R[0] \
and 2.0 >= math.sqrt(3) + R[2]
elif self.lattice == 'tetragonal':
return 1.0 >= R[0] and 1.0 >= R[1] \
and math.sqrt(2.0) >= R[0] + R[1] \
and math.sqrt(2.0) >= R[2] + 1.0
elif self.lattice == 'orthorhombic':
return 1.0 >= R[0] and 1.0 >= R[1] and 1.0 >= R[2]
else:
return True
def inDisorientationSST(self,R):
'''
Check whether given Rodrigues vector (of misorientation) falls into standard stereographic triangle of own symmetry.
Determination of disorientations follow the work of A. Heinz and P. Neumann:
Representation of Orientation and Disorientation Data for Cubic, Hexagonal, Tetragonal and Orthorhombic Crystals
Acta Cryst. (1991). A47, 780-789
'''
if isinstance(R, Quaternion): R = R.asRodrigues() # translate accidentially passed quaternion
epsilon = 0.0
if self.lattice == 'cubic':
return R[0] >= R[1]+epsilon and R[1] >= R[2]+epsilon and R[2] >= epsilon and self.inFZ(R)
elif self.lattice == 'hexagonal':
return R[0] >= math.sqrt(3)*(R[1]+epsilon) and R[1] >= epsilon and R[2] >= epsilon and self.inFZ(R)
elif self.lattice == 'tetragonal':
return R[0] >= R[1]+epsilon and R[1] >= epsilon and R[2] >= epsilon and self.inFZ(R)
elif self.lattice == 'orthorhombic':
return R[0] >= epsilon and R[1] >= epsilon and R[2] >= epsilon and self.inFZ(R)
else:
return True
def inSST(self,vector,color = False):
'''
Check whether given vector falls into standard stereographic triangle of own symmetry.
Return inverse pole figure color if requested.
'''
# basis = {'cubic' : numpy.linalg.inv(numpy.array([[0.,0.,1.], # direction of red
# [1.,0.,1.]/numpy.sqrt(2.), # direction of green
# [1.,1.,1.]/numpy.sqrt(3.)]).transpose()), # direction of blue
# 'hexagonal' : numpy.linalg.inv(numpy.array([[0.,0.,1.], # direction of red
# [1.,0.,0.], # direction of green
# [numpy.sqrt(3.),1.,0.]/numpy.sqrt(4.)]).transpose()), # direction of blue
# 'tetragonal' : numpy.linalg.inv(numpy.array([[0.,0.,1.], # direction of red
# [1.,0.,0.], # direction of green
# [1.,1.,0.]/numpy.sqrt(2.)]).transpose()), # direction of blue
# 'orthorhombic' : numpy.linalg.inv(numpy.array([[0.,0.,1.], # direction of red
# [1.,0.,0.], # direction of green
# [0.,1.,0.]]).transpose()), # direction of blue
# }
if self.lattice == 'cubic':
basis = numpy.array([ [-1. , 0. , 1. ],
[ numpy.sqrt(2.), -numpy.sqrt(2.), 0. ],
[ 0. , numpy.sqrt(3.), 0. ] ])
elif self.lattice == 'hexagonal':
basis = numpy.array([ [ 0. , 0. , 1. ],
[ 1. , -numpy.sqrt(3.), 0. ],
[ 0. , 2. , 0. ] ])
elif self.lattice == 'tetragonal':
basis = numpy.array([ [ 0. , 0. , 1. ],
[ 1. , -1. , 0. ],
[ 0. , numpy.sqrt(2.), 0. ] ])
elif self.lattice == 'orthorhombic':
basis = numpy.array([ [ 0., 0., 1.],
[ 1., 0., 0.],
[ 0., 1., 0.] ])
else:
basis = None
if basis == None:
theComponents = -numpy.ones(3,'d')
else:
theComponents = numpy.dot(basis,numpy.array([vector[0],vector[1],abs(vector[2])]))
inSST = numpy.all(theComponents >= 0.0)
if color: # have to return color array
if inSST:
rgb = numpy.power(theComponents/numpy.linalg.norm(theComponents),0.5) # smoothen color ramps
rgb = numpy.minimum(numpy.ones(3,'d'),rgb) # limit to maximum intensity
rgb /= max(rgb) # normalize to (HS)V = 1
else:
rgb = numpy.zeros(3,'d')
return (inSST,rgb)
else:
return inSST
# code derived from http://pyeuclid.googlecode.com/svn/trunk/euclid.py
# suggested reading: http://web.mit.edu/2.998/www/QuaternionReport1.pdf
# ******************************************************************************************
class Orientation:
# ******************************************************************************************
__slots__ = ['quaternion','symmetry']
def __init__(self,
quaternion = Quaternion.fromIdentity(),
Rodrigues = None,
angleAxis = None,
matrix = None,
Eulers = None,
random = False,
symmetry = None,
):
if random: # produce random orientation
self.quaternion = Quaternion.fromRandom()
elif isinstance(Eulers, numpy.ndarray) and Eulers.shape == (3,): # based on given Euler angles
self.quaternion = Quaternion.fromEulers(Eulers,'bunge')
elif isinstance(matrix, numpy.ndarray) and matrix.shape == (3,3): # based on given rotation matrix
self.quaternion = Quaternion.fromMatrix(matrix)
elif isinstance(angleAxis, numpy.ndarray) and angleAxis.shape == (4,): # based on given angle and rotation axis
self.quaternion = Quaternion.fromAngleAxis(angleAxis[0],angleAxis[1:4])
elif isinstance(Rodrigues, numpy.ndarray) and Rodrigues.shape == (3,): # based on given Rodrigues vector
self.quaternion = Quaternion.fromRodrigues(Rodrigues)
elif isinstance(quaternion, Quaternion): # based on given quaternion
self.quaternion = quaternion.homomorphed()
elif isinstance(quaternion, numpy.ndarray) and quaternion.shape == (4,): # based on given quaternion
self.quaternion = Quaternion(quaternion).homomorphed()
self.symmetry = Symmetry(symmetry)
def __copy__(self):
return self.__class__(quaternion=self.quaternion,symmetry=self.symmetry.lattice)
copy = __copy__
def __repr__(self):
return 'Symmetry: %s\n' % (self.symmetry) + \
'Quaternion: %s\n' % (self.quaternion) + \
'Matrix:\n%s\n' % ( '\n'.join(['\t'.join(map(str,self.asMatrix()[i,:])) for i in range(3)]) ) + \
'Bunge Eulers: %s' % ('\t'.join(map(lambda x:str(numpy.degrees(x)),self.asEulers('Bunge'))) )
def asQuaternion(self):
return self.quaternion.asList()
def asEulers(self,type):
return self.quaternion.asEulers(type)
def asRodrigues(self):
return self.quaternion.asRodrigues()
def asMatrix(self):
return self.quaternion.asMatrix()
def reduced(self):
'''
Transform orientation to fall into fundamental zone according to own (or given) symmetry
'''
for me in self.symmetry.equivalentQuaternions(self.quaternion):
if self.symmetry.inFZ(me.asRodrigues()): break
return Orientation(quaternion=me,symmetry=self.symmetry.lattice)
def disorientation(self,other):
'''
Disorientation between myself and given other orientation
(either reduced according to my own symmetry or given one)
'''
lowerSymmetry = min(self.symmetry,other.symmetry)
breaker = False
for me in self.symmetry.equivalentQuaternions(self.quaternion):
me.conjugate()
for they in other.symmetry.equivalentQuaternions(other.quaternion):
theQ = (me * they).homomorph()
if theQ.x < 0.0 or theQ.y < 0.0 or theQ.z < 0.0: theQ.conjugate() # speed up scanning since minimum angle is usually found for positive x,y,z
if lowerSymmetry.inDisorientationSST(theQ.asRodrigues()):
breaker = True
break
if breaker: break
return Orientation(quaternion=theQ,symmetry=self.symmetry.lattice)
def IPFcolor(self,axis):
'''
TSL color of inverse pole figure for given axis
'''
color = numpy.zeros(3,'d')
for i,q in enumerate(self.symmetry.equivalentQuaternions(self.quaternion)):
pole = q.conjugated()*axis # align crystal direction to axis
inSST,color = self.symmetry.inSST(pole,color=True)
if inSST: break
return color