def smooth(self, path='', parameters=None, span=0.):
""" Smooths SPECFEM2D kernels by convolving them with a Gaussian
"""
from seisflows.tools.array import meshsmooth, stack
#assert parameters == self.parameters
# implementing nproc > 1 would be straightforward, but a bit tedious
#assert self.mesh.nproc == 1
kernels = self.load(path, suffix='_kernel')
if not span:
return kernels
# set up grid
x = sem.read(PATH.MODEL_INIT, 'x', 0)
z = sem.read(PATH.MODEL_INIT, 'z', 0)
mesh = stack(x, z)
for key in parameters or self.parameters:
kernels[key] = [meshsmooth(kernels[key][0], mesh, span)]
unix.rm(path + '_nosmooth')
unix.mv(path, path + '_nosmooth')
self.save(path, kernels, suffix='_kernel')
def smooth(self, path='', parameters='dummy', span=0. ):
""" Smooths SPECFEM2D kernels by convolving them with a Gaussian
"""
from seisflows.tools.array import meshsmooth, stack
#assert parameters == self.parameters
# implementing nproc > 1 would be straightforward, but a bit tedious
#assert self.mesh.nproc == 1
kernels = self.load(path, suffix='_kernel')
if not span:
return kernels
# set up grid
_,x = loadbypar(PATH.MODEL_INIT, ['x'], 0)
_,z = loadbypar(PATH.MODEL_INIT, ['z'], 0)
mesh = stack(x[0], z[0])
for key in self.parameters:
kernels[key] = [meshsmooth(kernels[key][0], mesh, span)]
unix.rm(path + '_nosmooth')
unix.mv(path, path + '_nosmooth')
self.save(path, kernels, suffix='_kernel')
def smooth(self, path='', span=0., parameters=[]):
""" Smooths SPECFEM2D kernels by convolving them with a Gaussian
"""
from seisflows.tools.array import meshsmooth, stack
kernels = self.load(path, suffix='_kernel')
if not span:
return kernels
x = kernels['x'][0]
z = kernels['z'][0]
mesh = stack(x, z)
for key in parameters:
kernels[key] = [meshsmooth(kernels[key][0], mesh, span)]
unix.mv(path, path + '_nosmooth')
self.save(path, kernels)
def apply_smoothing(self, parameter):
from seisflows.tools.array import meshsmooth, stack
coords = []
for key in ['x', 'z']:
coords += [sem.read(PATH.MODEL_INIT, key, 0)]
mesh = stack(*coords)
for suffix in ['_nu']:
path = PATH.MUMFORD_SHAH_OUTPUT
if PAR.SMOOTH_EDGES > 0.:
# backup original
kernel = sem.read(path, parameter+suffix, 0)
sem.write(kernel, path, parameter+suffix+'_nosmooth', 0)
# apply smoothing operator
kernel = meshsmooth(kernel, mesh, PAR.SMOOTH_EDGES)
sem.write(kernel, path, parameter+suffix, 0)
def smooth_legacy(input_path='', output_path='', parameters=[], span=0.):
solver = sys.modules['seisflows_solver']
PATH = sys.modules['seisflows_paths']
if not exists(input_path):
raise Exception
if not exists(output_path):
unix.mkdir(output_path)
if solver.mesh_properties.nproc!=1:
raise NotImplementedError
# intialize arrays
kernels = {}
for key in parameters or solver.parameters:
kernels[key] = []
coords = {}
for key in ['x', 'z']:
coords[key] = []
# read kernels
for key in parameters or solver.parameters:
kernels[key] += solver.io.read_slice(input_path, key+'_kernel', 0)
if not span:
return kernels
# read coordinates
for key in ['x', 'z']:
coords[key] += solver.io.read_slice(PATH.MODEL_INIT, key, 0)
mesh = array.stack(coords['x'][0], coords['z'][0])
# apply smoother
for key in parameters or solver.parameters:
kernels[key] = [array.meshsmooth(kernels[key][0], mesh, span)]
# write smooth kernels
for key in parameters or solver.parameters:
solver.io.write_slice(kernels[key][0], output_path, key+'_kernel', 0)
def smooth_legacy(input_path='', output_path='', parameters=[], span=0.):
solver = sys.modules['seisflows_solver']
PATH = sys.modules['seisflows_paths']
if not exists(input_path):
raise Exception
if not exists(output_path):
unix.mkdir(output_path)
if solver.mesh_properties.nproc != 1:
raise NotImplementedError
# intialize arrays
kernels = {}
for key in parameters or solver.parameters:
kernels[key] = []
coords = {}
for key in ['x', 'z']:
coords[key] = []
# read kernels
for key in parameters or solver.parameters:
kernels[key] += solver.io.read_slice(input_path, key + '_kernel', 0)
if not span:
return kernels
# read coordinates
for key in ['x', 'z']:
coords[key] += solver.io.read_slice(PATH.MODEL_INIT, key, 0)
mesh = array.stack(coords['x'][0], coords['z'][0])
# apply smoother
for key in parameters or solver.parameters:
kernels[key] = [array.meshsmooth(kernels[key][0], mesh, span)]
# write smooth kernels
for key in parameters or solver.parameters:
solver.io.write_slice(kernels[key][0], output_path, key + '_kernel', 0)
def smooth(self, path='', tag='gradient', span=0.):
"""smooths SPECFEM2D kernels by convolving them with a Gaussian"""
from seisflows.tools.array import meshsmooth
parts = self.load(path + '/' + tag)
if not span:
return parts
# set up grid
x = parts['x'][0]
z = parts['z'][0]
lx = x.max() - x.min()
lz = z.max() - z.min()
nn = x.size
nx = np.around(np.sqrt(nn * lx / lz))
nz = np.around(np.sqrt(nn * lx / lz))
# perform smoothing
for key in self.inversion_parameters:
parts[key] = [meshsmooth(x, z, parts[key][0], span, nx, nz)]
unix.mv(path + '/' + tag, path + '/' + '_nosmooth')
self.save(path + '/' + tag, parts)
def smooth_legacy(path='', parameters=[], span=0.):
solver = sys.modules['seisflows_solver']
PATH = sys.modules['seisflows_paths']
# intialize arrays
kernels = {}
for key in parameters or solver.parameters:
kernels[key] = []
coords = {}
for key in ['x', 'z']:
coords[key] = []
# read kernels
for key in parameters or solver.parameters:
kernels[key] += solver.io.read_slice(path, key + '_kernel', 0)
if not span:
return kernels
# read coordinates
for key in ['x', 'z']:
coords[key] += solver.io.read_slice(PATH.MODEL_INIT, key, 0)
mesh = array.stack(coords['x'][0], coords['z'][0])
#mesh = array.stack(solver.mesh_properties.coords['x'][0],
# solver.mesh_properties.coords['z'][0])
for key in parameters or solver.parameters:
kernels[key] = [array.meshsmooth(kernels[key][0], mesh, span)]
unix.rm(path + '_nosmooth')
unix.mv(path, path + '_nosmooth')
unix.mkdir(path)
for key in parameters or solver.parameters:
solver.io.write_slice(kernels[key][0], path, key + '_kernel', 0)
def smooth(self, path='', parameters=None, span=0.):
""" For a long time SPECFEM2D lacked its own smoothing utility; this
method was intended only as a crude workaround
"""
from seisflows.tools import array
assert self.mesh_properties.nproc == 1,\
msg.SmoothingError_SPECFEM2D
kernels = self.load(path, suffix='_kernel')
if not span:
return kernels
# set up grid
x = sem.read(PATH.MODEL_INIT, 'x', 0)
z = sem.read(PATH.MODEL_INIT, 'z', 0)
mesh = array.stack(x, z)
for key in parameters or self.parameters:
kernels[key] = [array.meshsmooth(kernels[key][0], mesh, span)]
unix.rm(path + '_nosmooth')
unix.mv(path, path + '_nosmooth')
self.save(path, kernels, suffix='_kernel')