mirror of
https://github.com/wassname/simpeg.git
synced 2026-06-28 14:12:43 +08:00
seogi_macbook
65 lines
1.9 KiB
Python
65 lines
1.9 KiB
Python
import SimPEG
|
|
# from SimPEG.EM.Base import BaseEMSurvey
|
|
from SimPEG.Utils import Zero, closestPoints, mkvc
|
|
import numpy as np
|
|
|
|
class BaseSrc(SimPEG.Survey.BaseSrc):
|
|
|
|
current = 1.0
|
|
loc = None
|
|
|
|
def __init__(self, rxList, **kwargs):
|
|
SimPEG.Survey.BaseSrc.__init__(self, rxList, **kwargs)
|
|
|
|
def eval(self, prob):
|
|
raise NotImplementedError
|
|
|
|
def evalDeriv(self, prob):
|
|
return Zero()
|
|
|
|
@property
|
|
def nD(self):
|
|
"""Number of data"""
|
|
return self.vnD.sum()
|
|
|
|
@property
|
|
def vnD(self):
|
|
"""Vector number of data"""
|
|
return np.array([rx.nD*len(rx.times) for rx in self.rxList])
|
|
|
|
|
|
|
|
class Dipole(BaseSrc):
|
|
|
|
def __init__(self, rxList, locA, locB, **kwargs):
|
|
assert locA.shape == locB.shape, 'Shape of locA and locB should be the same'
|
|
self.loc = [locA, locB]
|
|
BaseSrc.__init__(self, rxList, **kwargs)
|
|
|
|
def eval(self, prob):
|
|
if prob._formulation == 'HJ':
|
|
inds = closestPoints(prob.mesh, self.loc, gridLoc='CC')
|
|
q = np.zeros(prob.mesh.nC)
|
|
q[inds] = self.current * np.r_[1., -1.]
|
|
elif prob._formulation == 'EB':
|
|
qa = prob.mesh.getInterpolationMat(self.loc[0], locType='N').todense()
|
|
qb = -prob.mesh.getInterpolationMat(self.loc[1], locType='N').todense()
|
|
q = self.current * mkvc(qa+qb)
|
|
return q
|
|
|
|
class Pole(BaseSrc):
|
|
|
|
def __init__(self, rxList, loc, **kwargs):
|
|
BaseSrc.__init__(self, rxList, loc=loc, **kwargs)
|
|
|
|
def eval(self, prob):
|
|
if prob._formulation == 'HJ':
|
|
inds = closestPoints(prob.mesh, self.loc)
|
|
q = np.zeros(prob.mesh.nC)
|
|
q[inds] = self.current * np.r_[1.]
|
|
elif prob._formulation == 'EB':
|
|
q = prob.mesh.getInterpolationMat(self.loc, locType='N').todense()
|
|
q = self.current * mkvc(q)
|
|
return q
|
|
|