def setup(self, mesh, spin, Ms, Ms_inv):
super(Demag, self).setup(mesh, spin, Ms, Ms_inv)
if self.pbc_2d is True:
self.demag = clib.FFTDemag(self.dx, self.dy, self.dz,
self.nx, self.ny, self.nz, tensor_type='2d_pbc')
nxyz = self.nx*self.ny*self.nz
tensors = np.zeros(6*nxyz, dtype=np.float)
pbc_2d_error = 1e-10
sample_repeat_nx = -1
sample_repeat_ny = -1
asymptotic_radius = 32.0
dipolar_radius = 10000.0
tensor_file_name = None
options = self.pbc_options
if 'sample_repeat_nx' in options:
sample_repeat_nx = options['sample_repeat_nx']
sample_repeat_ny = options['sample_repeat_ny']
if 'relative_tensor_error' in options:
pbc_2d_error = options['relative_tensor_error']
if 'asymptotic_radius' in options:
asymptotic_radius = options['asymptotic_radius']
if 'dipolar_radius' in options:
dipolar_radius = options['dipolar_radius']
if 'tensor_file_name' in options:
tensor_file_name = options['tensor_file_name']
if tensor_file_name:
if not (os.path.exists(tensor_file_name+'.npz')):
self.demag.compute_tensors_2dpbc(tensors, pbc_2d_error, sample_repeat_nx, sample_repeat_ny, dipolar_radius)
else:
npzfile = np.load(tensor_file_name+'.npz')
geo_info = npzfile['geo']
geo_arr = np.array([self.nx,self.ny, self.nz, self.dx, self.dy, self.dz], dtype=np.float)
#print 'info', geo_info
if not np.allclose(geo_arr, geo_info):
self.demag.compute_tensors_2dpbc(tensors, pbc_2d_error, sample_repeat_nx, sample_repeat_ny, dipolar_radius)
else:
tensors = npzfile['tensors']
geo_arr = np.array([self.nx, self.ny, self.nz, self.dx, self.dy, self.dz], dtype=np.float)
np.savez(tensor_file_name+'.npz', geo=geo_arr, tensors=tensors)
else:
self.demag.compute_tensors_2dpbc(tensors, pbc_2d_error, sample_repeat_nx, sample_repeat_ny, dipolar_radius)
#print tensors
self.demag.fill_demag_tensors(tensors)
else:
self.demag = clib.FFTDemag(self.dx, self.dy, self.dz,
self.nx, self.ny, self.nz,
tensor_type='demag')
if not self.calc_every:
self.compute_field = self.compute_field_every
else:
self.count = 0
self.compute_field = self.compute_field_periodically
def setup(self, mesh, spin, mu_s):
self.mesh = mesh
self.dx = mesh.dx
self.dy = mesh.dy
self.dz = mesh.dz
self.nx = mesh.nx
self.ny = mesh.ny
self.nz = mesh.nz
self.spin = spin
self.n = mesh.n
self.field = np.zeros(3 * self.n, dtype=np.float)
unit_length = mesh.unit_length
self.mu_s_scale = np.zeros(mesh.n, dtype=np.float)
# note that the 1e-7 comes from \frac{\mu_0}{4\pi}
self.scale = 1e-7 / unit_length**3
# could be wrong, needs carefully tests!!!
self.mu_s_scale = mu_s * self.scale
self.demag = clib.FFTDemag(self.dx,
self.dy,
self.dz,
self.nx,
self.ny,
self.nz,
tensor_type='dipolar')
def setup(self, mesh, spin, mu_s, mu_s_inv):
if mesh.mesh_type != 'hexagonal':
raise Exception('This interaction is only defined'
'for hexagonal meshes'
)
self.mesh = mesh
self.dx = mesh.dx
self.dx_c = 0.5 * mesh.dx
self.dy = mesh.dy
self.dz = mesh.dz
self.nx = mesh.nx
self.nx_c = 2 * mesh.nx
self.ny = mesh.ny
self.nz = mesh.nz
self.spin = spin
self.spin_c = np.zeros(2 * len(spin))
self.n = mesh.n
self.n_c = mesh.n * 2
# self.n_c = self.mesh_c.n
self.field = np.zeros(3 * self.n, dtype=np.float)
self.field_c = np.zeros(3 * self.n_c, dtype=np.float)
self.energy = np.zeros(self.n, dtype=np.float)
self.energy_c = np.zeros(self.n_c, dtype=np.float)
unit_length = mesh.unit_length
self.mu_s_scale = np.zeros(mesh.n, dtype=np.float)
self.mu_s_scale_c = np.zeros(2 * self.n, dtype=np.float)
# note that the 1e-7 comes from \frac{\mu_0}{4\pi}
self.scale = 1e-7 / unit_length ** 3
# could be wrong, needs carefully tests!!!
# David Tue 19 Jun 2018: this variable is upated in the sim class
# in case mu_s changes
self.mu_s_scale = mu_s * self.scale
# This seems not to be necessary
# self.create_cuboid_mesh()
self.scalar2cuboid(self.mu_s_scale, self.mu_s_scale_c)
# Compute demag using the cuboid mesh with the double
# number of x finite differences
self.demag = clib.FFTDemag(self.dx_c, self.dy, self.dz,
self.nx_c, self.ny, self.nz,
tensor_type='dipolar')
def setup(self, mesh, spin, Ms):
self.mesh = mesh
self.dx = mesh.dx
self.dy = mesh.dy
self.dz = mesh.dz
self.nx = mesh.nx
self.ny = mesh.ny
self.nz = mesh.nz
self.spin = spin
self.field = np.zeros(3 * mesh.n, dtype=np.float)
self.Ms = Ms
self.demag = clib.FFTDemag(self.dx, self.dy, self.dz, self.nx, self.ny,
self.nz, self.oommf)
def setup(self, mesh, spin, mu_s, mu_s_inv):
super(Demag, self).setup(mesh, spin, mu_s, mu_s_inv)
# Ryan Pepper 04/04/2019
# We *do not* need to scale by mesh.unit_length**3 here!
# This is because in the base energy class, dx, dy and dz
# are scaled.
self.scale = 1e-7
self.mu_s_scale = mu_s * self.scale
self.demag = clib.FFTDemag(self.dx, self.dy, self.dz,
self.nx, self.ny, self.nz,
tensor_type='dipolar')
if not self.calc_every:
self.compute_field = self.compute_field_every
else:
self.count = 0
self.compute_field = self.compute_field_periodically
def setup(self, mesh, spin, mu_s, mu_s_inv):
super(Demag, self).setup(mesh, spin, mu_s, mu_s_inv)
self.scale = 1e-7 / mesh.unit_length**3
# could be wrong, needs carefully tests!!!
# David Tue 19 Jun 2018: This variable is updated in the SIM class in
# case mu_s changes
self.mu_s_scale = mu_s * self.scale
self.demag = clib.FFTDemag(self.dx,
self.dy,
self.dz,
self.nx,
self.ny,
self.nz,
tensor_type='dipolar')
if not self.calc_every:
self.compute_field = self.compute_field_every
else:
self.count = 0
self.compute_field = self.compute_field_periodically
def setup(self, mesh, spin, Ms, Ms_inv):
super(Demag, self).setup(mesh, spin, Ms, Ms_inv)
if self.pbc_2d is True:
self.demag = clib.FFTDemag(self.dx,
self.dy,
self.dz,
self.nx,
self.ny,
self.nz,
tensor_type='2d_pbc')
nxyz = self.nx * self.ny * self.nz
tensors = np.zeros(6 * nxyz, dtype=np.float)
pbc_2d_error = 1e-10
sample_repeat_nx = -1
sample_repeat_ny = -1
asymptotic_radius = 32.0
dipolar_radius = 10000.0
tensor_file_name = None
options = self.pbc_options
if 'sample_repeat_nx' in options:
sample_repeat_nx = options['sample_repeat_nx']
sample_repeat_ny = options['sample_repeat_ny']
if 'relative_tensor_error' in options:
pbc_2d_error = options['relative_tensor_error']
if 'asymptotic_radius' in options:
asymptotic_radius = options['asymptotic_radius']
if 'dipolar_radius' in options:
dipolar_radius = options['dipolar_radius']
if 'tensor_file_name' in options:
tensor_file_name = options['tensor_file_name']
if tensor_file_name:
if not (os.path.exists(tensor_file_name + '.npz')):
self.demag.compute_tensors_2dpbc(tensors, pbc_2d_error,
sample_repeat_nx,
sample_repeat_ny,
dipolar_radius)
else:
npzfile = np.load(tensor_file_name + '.npz')
geo_info = npzfile['geo']
geo_arr = np.array(
[self.nx, self.ny, self.nz, self.dx, self.dy, self.dz],
dtype=np.float)
#print 'info', geo_info
if not np.allclose(geo_arr, geo_info):
self.demag.compute_tensors_2dpbc(
tensors, pbc_2d_error, sample_repeat_nx,
sample_repeat_ny, dipolar_radius)
else:
tensors = npzfile['tensors']
geo_arr = np.array(
[self.nx, self.ny, self.nz, self.dx, self.dy, self.dz],
dtype=np.float)
np.savez(tensor_file_name + '.npz',
geo=geo_arr,
tensors=tensors)
else:
self.demag.compute_tensors_2dpbc(tensors, pbc_2d_error,
sample_repeat_nx,
sample_repeat_ny,
dipolar_radius)
#print tensors
self.demag.fill_demag_tensors(tensors)
else:
if True in mesh.periodicity:
print(
'Warning - you have enabled a periodic mesh, but not enabled the 2d_pbc parameter.\n'
'Please look at the implementation of the demag class.\n'
' * You can either specify *both* of sample_repeat_nx and sample_repeat_ny'
' * Alternatively, specify relative_tensor_error to take enough\n'
' repetitions until the demag tensor components are not changing\n'
' more than this tolerance.\n')
self.demag = clib.FFTDemag(self.dx,
self.dy,
self.dz,
self.nx,
self.ny,
self.nz,
tensor_type='demag')
if not self.calc_every:
self.compute_field = self.compute_field_every
else:
self.count = 0
self.compute_field = self.compute_field_periodically
def setup(self, mesh, spin, Ms):
self.mesh = mesh
self.dx = mesh.dx
self.dy = mesh.dy
self.dz = mesh.dz
self.nx = mesh.nx
self.ny = mesh.ny
self.nz = mesh.nz
self.spin = spin
self.field = np.zeros(3 * mesh.n, dtype=np.float)
self.Ms = Ms
if self.pbc_2d is True:
self.demag = clib.FFTDemag(self.dx,
self.dy,
self.dz,
self.nx,
self.ny,
self.nz,
tensor_type='2d_pbc')
nxyz = self.nx * self.ny * self.nz
tensors = np.zeros(6 * nxyz, dtype=np.float)
pbc_2d_error = 1e-10
sample_repeat_nx = -1
sample_repeat_ny = -1
asymptotic_radius = 32.0
dipolar_radius = 10000.0
tensor_file_name = ''
options = self.pbc_options
if 'sample_repeat_nx' in options:
sample_repeat_nx = options['sample_repeat_nx']
sample_repeat_ny = options['sample_repeat_ny']
if 'relative_tensor_error' in options:
pbc_2d_error = options['relative_tensor_error']
if 'asymptotic_radius' in options:
asymptotic_radius = options['asymptotic_radius']
if 'dipolar_radius' in options:
dipolar_radius = options['dipolar_radius']
if 'tensor_file_name' in options:
tensor_file_name = options['tensor_file_name']
if len(tensor_file_name) > 0:
if not (os.path.exists(tensor_file_name + '.npz')):
self.demag.compute_tensors_2dpbc(tensors, pbc_2d_error,
sample_repeat_nx,
sample_repeat_ny,
dipolar_radius)
else:
npzfile = np.load(tensor_file_name + '.npz')
geo_info = npzfile['geo']
geo_arr = np.array(
[self.nx, self.ny, self.nz, self.dx, self.dy, self.dz],
dtype=np.float)
#print 'info', geo_info
if not np.allclose(geo_arr, geo_info):
self.demag.compute_tensors_2dpbc(
tensors, pbc_2d_error, sample_repeat_nx,
sample_repeat_ny, dipolar_radius)
else:
tensors = npzfile['tensors']
geo_arr = np.array(
[self.nx, self.ny, self.nz, self.dx, self.dy, self.dz],
dtype=np.float)
np.savez(tensor_file_name + '.npz',
geo=geo_arr,
tensors=tensors)
else:
self.demag.compute_tensors_2dpbc(tensors, pbc_2d_error,
sample_repeat_nx,
sample_repeat_ny,
dipolar_radius)
#print tensors
self.demag.fill_demag_tensors(tensors)
else:
self.demag = clib.FFTDemag(self.dx,
self.dy,
self.dz,
self.nx,
self.ny,
self.nz,
tensor_type='demag')
