def __init__(self, directory, filename="heterogeneity"):
"""
__init__(self, directory, filename="heterogeneity")
"""
#- Initialise directory from which to read and filename to write. -------------------------
self.directory = directory
self.filename = filename
#- Read drho from the "directory" and turn it into a zero model. --------------------------
self.d = m.ses3d_model()
self.d.read(self.directory, "drho", "false")
for k in range(self.d.nsubvol):
self.d.m[k].v[:, :, :] = 0.0
def __init__(self, directory, filename="heterogeneity"): """ __init__(self, directory, filename="heterogeneity") """ #- Initialise directory from which to read and filename to write. ------------------------- self.directory = directory self.filename = filename #- Read drho from the "directory" and turn it into a zero model. -------------------------- self.d = m.ses3d_model() self.d.read(self.directory,"drho","false") for k in range(self.d.nsubvol): self.d.m[k].v[:,:,:] = 0.0
# List of events for which kernels are available.
eventlist = [
"GCMT_event_NORTHERN_ITALY_Mag_4.9_2000-8-21-17",
"GCMT_event_NORTHWESTERN_BALKAN_REGION_Mag_5.9_1980-5-18-20"]
# Smoothing iterations.
sigma = 3.0
# Test step lengths.
gamma = [0.15, 0.5, 1.0]
# Read current model. ---------------------------------------------------------
print "read current model from directory " + dir_current_model
csv = m.ses3d_model()
csh = m.ses3d_model()
rho = m.ses3d_model()
cp = m.ses3d_model()
csv.read(dir_current_model, 'dvsv')
csh.read(dir_current_model, 'dvsh')
rho.read(dir_current_model, 'drho')
cp.read(dir_current_model, 'dvp')
# Read gradients of the current iteration. ------------------------------------
# Initialisation.
grad_csv = m.ses3d_model()
grad_csh = m.ses3d_model()
grad_rho = m.ses3d_model()
grad_cp = m.ses3d_model()
