mirror of
https://github.com/wassname/simpeg.git
synced 2026-06-28 18:12:03 +08:00
157 lines
5.3 KiB
Python
157 lines
5.3 KiB
Python
import numpy as np
|
|
import scipy.sparse as sp
|
|
from SimPEG import utils, TensorMesh
|
|
from SimPEG.utils import spzeros, mkvc
|
|
|
|
def interpmat(x,y,z,xr,yr,zr):
|
|
|
|
""" Local nterpolation computed for each receiver point in turn """
|
|
|
|
nx = max(x.shape)
|
|
ny = max(y.shape)
|
|
nz = max(z.shape)
|
|
npts = max(xr.shape)
|
|
|
|
Q = sp.lil_matrix((npts, nx*ny*nz))
|
|
|
|
for i in range(npts):
|
|
# in x-direction
|
|
im = np.argmin(abs(x-xr[i]))
|
|
if xr[i] - x[im] >= 0: # Point on the left
|
|
ind_x1 = im
|
|
ind_x2 = im+1
|
|
elif xr[i] - x[im] < 0: # Point on the right
|
|
ind_x1 = im-1
|
|
ind_x2 = im
|
|
dx1 = xr[i] - x[ind_x1]
|
|
dx2 = x[ind_x2] - xr[i]
|
|
# in y-direction
|
|
im = np.argmin(abs(y-yr[i]))
|
|
if yr[i] - y[im] >= 0: # Point on the left
|
|
ind_y1 = im
|
|
ind_y2 = im+1
|
|
elif yr[i] - y[im] < 0: # Point on the right
|
|
ind_y1 = im-1
|
|
ind_y2 = im
|
|
dy1 = yr[i] - y[ind_y1]
|
|
dy2 = y[ind_y2] - yr[i]
|
|
# in z-direction
|
|
im = np.argmin(abs(z-zr[i]))
|
|
if zr[i] - z[im] >= 0: # Point on the left
|
|
ind_z1 = im
|
|
ind_z2 = im+1
|
|
elif zr[i] - z[im] < 0: # Point on the right
|
|
ind_z1 = im-1
|
|
ind_z2 = im
|
|
dz1 = zr[i] - z[ind_z1]
|
|
dz2 = z[ind_z2] - zr[i]
|
|
dv = (x[ind_x2] - x[ind_x1]) * (y[ind_y2] - y[ind_y1]) *(z[ind_z2] - z[ind_z1])
|
|
|
|
Dx = x[ind_x2] - x[ind_x1]
|
|
Dy = y[ind_y2] - y[ind_y1]
|
|
Dz = z[ind_z2] - z[ind_z1]
|
|
|
|
# Get the row in the matrix
|
|
|
|
inds = utils.sub2ind((nx,ny,nz),[
|
|
( ind_x1, ind_y2, ind_z1),
|
|
( ind_x1, ind_y1, ind_z1),
|
|
( ind_x2, ind_y1, ind_z1),
|
|
( ind_x2, ind_y2, ind_z1),
|
|
( ind_x1, ind_y1, ind_z2),
|
|
( ind_x1, ind_y2, ind_z2),
|
|
( ind_x2, ind_y1, ind_z2),
|
|
( ind_x2, ind_y2, ind_z2)])
|
|
|
|
vals = [(1-dx1/Dx)*(1-dy2/Dy)*(1-dz1/Dz),
|
|
(1-dx1/Dx)*(1-dy1/Dy)*(1-dz1/Dz),
|
|
(1-dx2/Dx)*(1-dy1/Dy)*(1-dz1/Dz),
|
|
(1-dx2/Dx)*(1-dy2/Dy)*(1-dz1/Dz),
|
|
(1-dx1/Dx)*(1-dy1/Dy)*(1-dz2/Dz),
|
|
(1-dx1/Dx)*(1-dy2/Dy)*(1-dz2/Dz),
|
|
(1-dx2/Dx)*(1-dy1/Dy)*(1-dz2/Dz),
|
|
(1-dx2/Dx)*(1-dy2/Dy)*(1-dz2/Dz)]
|
|
|
|
Q[i, mkvc(inds)] = vals
|
|
Q = Q.tocsr()
|
|
return Q
|
|
|
|
def getInterpmat(mesh, rxLoc, dataType):
|
|
""" """
|
|
xr = rxLoc[:,0]
|
|
yr = rxLoc[:,1]
|
|
zr = rxLoc[:,2]
|
|
nrx = rxLoc.shape[0]
|
|
if dataType == 'fx':
|
|
Qx = interpmat(np.unique(mesh.gridFx[:,0]),
|
|
np.unique(mesh.gridFx[:,1]),
|
|
np.unique(mesh.gridFx[:,2]),
|
|
xr,yr,zr)
|
|
Q = sp.hstack([Qx,spzeros(nrx,mesh.nF[1]),spzeros(nrx,mesh.nF[2])])
|
|
elif dataType == 'fy':
|
|
Qy = interpmat(np.unique(mesh.gridFy[:,0]),
|
|
np.unique(mesh.gridFy[:,1]),
|
|
np.unique(mesh.gridFy[:,2]),
|
|
xr,yr,zr)
|
|
Q = sp.hstack([spzeros(nrx,mesh.nF[0]),Qy,spzeros(nrx,mesh.nF[2])])
|
|
elif dataType == 'fz':
|
|
Qz = interpmat(np.unique(mesh.gridFz[:,0]),
|
|
np.unique(mesh.gridFz[:,1]),
|
|
np.unique(mesh.gridFz[:,2]),
|
|
xr,yr,zr)
|
|
Q = sp.hstack([spzeros(nrx,mesh.nF[0]),spzeros(nrx,mesh.nF[1]),Qz])
|
|
elif dataType == 'ex':
|
|
Qx = interpmat(np.unique(mesh.gridEx[:,0]),
|
|
np.unique(mesh.gridEx[:,1]),
|
|
np.unique(mesh.gridEx[:,2]),
|
|
xr, yr, zr)
|
|
Q = sp.hstack([Qx,spzeros(nrx,mesh.nE[1]),spzeros(nrx,mesh.nE[2])])
|
|
elif dataType == 'ey':
|
|
Qy = interpmat(np.unique(mesh.gridEy[:,0]),
|
|
np.unique(mesh.gridEy[:,1]),
|
|
np.unique(mesh.gridEy[:,2]),
|
|
xr, yr, zr)
|
|
Q = sp.hstack([spzeros(nrx,mesh.nE[0]),Qy,spzeros(nrx,mesh.nE[2])])
|
|
elif dataType == 'ez':
|
|
Qz = interpmat(np.unique(mesh.gridEz[:,0]),
|
|
np.unique(mesh.gridEz[:,1]),
|
|
np.unique(mesh.gridEz[:,2]),
|
|
xr,yr,zr)
|
|
Q = sp.hstack([spzeros(nrx,mesh.nE[0]),spzeros(nrx,mesh.nE[1]),Qz])
|
|
else:
|
|
assert(True), "Input either face (fx, fy, fz) or edge (ex, ey, ez) option"
|
|
return Q
|
|
|
|
if __name__ == '__main__':
|
|
pad = 1
|
|
padfactor = 1.5
|
|
cs = 100
|
|
xpad = cs*(np.ones(pad)*padfactor)**np.arange(pad)
|
|
ypad = cs*(np.ones(pad)*padfactor)**np.arange(pad)
|
|
zpad = cs*(np.ones(pad)*padfactor)**np.arange(pad)
|
|
|
|
core = 10
|
|
xcore = cs*np.ones(core)
|
|
ycore = cs*np.ones(core)
|
|
zcore = cs*np.ones(core)
|
|
|
|
hx = np.r_[xpad[::-1],xcore, cs, xcore,xpad]
|
|
hy = np.r_[ypad[::-1],ycore, cs, ycore, ypad]
|
|
hz = np.r_[zpad[::-1],zcore,zcore, zpad]
|
|
x0 = np.array([-np.sum(hx)/2, -np.sum(hy)/2, -np.sum(hz)/2], )
|
|
mesh = TensorMesh([hx, hy, hz],x0)
|
|
|
|
xr1 = np.linspace(-500,500,5)
|
|
yr1 = np.linspace(-500,500,5)
|
|
zr1 = 0
|
|
xr, yr = np.meshgrid(xr1, yr1, indexing='ij')
|
|
zr = np.ones((xr.shape[0],xr.shape[1]))*zr1
|
|
xr = mkvc(xr)
|
|
yr = mkvc(yr)
|
|
zr = mkvc(zr)
|
|
rxLoc = np.c_[xr, yr, zr]
|
|
Q = getInterpmat(mesh, rxLoc, 'ex')
|
|
|
|
print Q
|
|
|