def init_eigensolver(self, inmodel=None, T=None, Tmin=10., Tmax=50., dT=5.,
c=None, cmin=2500., cmax=5000., dc=50., nmodes=1, zmax=400., dz=1.):
#####
# initialize eigenfunction solver
#####
if isinstance(inmodel, vmodel.model1d):
eigensolver = eigen.eigen_solver(inmodel)
else:
m=vmodel.model1d()
m.get_radius(zmax, dz)
m.model_prem()
eigensolver = eigen.eigen_solver(m)
if not isinstance(T, np.ndarray):
T = np.arange(Tmin, Tmax+dT, dT, dtype=np.float32)
if not isinstance(c, np.ndarray):
c = np.arange(cmin, cmax+dc, dc, dtype=np.float32)
rmin = np.float32(6371000. - zmax*1000.)
dr = np.float32(dz*1000.)
eigensolver.init_dbase(T, c, rmin, dr, np.int32(nmodes))
# if newsolver:
# self.eigensolver.init_dbase(T, c, rmin, dr, np.int32(nmodes))
# else:
# r = np.arange(rmin, 6371000.+dr, dr, dtype=np.float32)
# if r.size == self.eigensolver.r.size and T.size == self.eigensolver.T.size and \
# c.size == self.eigensolver.c.size and nmodes == self.eigensolver.nmodes:
# if not (np.allclose(r, self.eigensolver.r) and np.allclose(T, self.eigensolver.T) \
# and np.allclose(c, self.eigensolver.c) and nmodes == self.eigensolver.nmodes):
# self.eigensolver.init_dbase(T, c, rmin, dr, nmodes)
# else:
# self.eigensolver.init_dbase(T, c, rmin, dr, nmodes)
return eigensolver
kernels for vph/vpv has from eigen is about 8 times larger compared with tcps """ import eigen, tcps import vmodel import numpy as np import matplotlib.pyplot as plt m=vmodel.model1d() m=vmodel.model1d() m=vmodel.read_model(m, 'ak135.txt') # m.earth_flattening() eig1 = eigen.eigen_solver(m) eig1.init_default() eig1.solve_PSV() tcps1 = tcps.tcps_solver(m) tcps1.init_default() tcps1.solve_PSV() tcps2 = tcps.tcps_solver(m) tcps2.init_default(nl=100., dh=2.) tcps2.verbose=1 tcps2.solve_PSV() i=5