Skip to content

GEOPY-1383: Incorporate MobileMT inversion with SimPEG (apparent conductivity only) #130

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
domfournier merged 2 commits into from
Feb 5, 2026
Merged

GEOPY-1383: Incorporate MobileMT inversion with SimPEG (apparent conductivity only) #130

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
bbef6ce
Switch deriv comp to einsums
domfournier Feb 3, 2026
b919ca8
Remove commented code
domfournier Feb 3, 2026
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
34 changes: 19 additions & 15 deletions simpeg/electromagnetics/natural_source/receivers.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -8,7 +8,6 @@
from scipy.constants import mu_0
from scipy.sparse import csr_matrix
from ...survey import BaseRx
from simpeg.utils import mkvc


def _alpha(src):
Expand Down Expand Up @@ -1145,20 +1144,25 @@ def _eval_apparent_conductivity_deriv(
# ADJOINT
if adjoint:
# Compute: J_T * v = d_top_T * a_v + d_bot_T * b
a_v = fact * v / bot # term 1
b_v = -fact * top * v / bot**2 # term 2

a_v = np.repeat(mkvc(a_v, n_dims=2), 2, axis=-1)
b_v = np.repeat(mkvc(b_v, n_dims=2), 2, axis=-1)

hx *= a_v
hy *= a_v
hz *= a_v
ex *= b_v
ey *= b_v

e_v = 2 * (Pex.T @ ex + Pey.T @ ey).conjugate()
h_v = 2 * (Phx.T @ hx + Phy.T @ hy + Phz.T @ hz).conjugate()
a_v = fact * np.c_[v] / bot[:, None] # term 1
b_v = np.c_[v] * (-fact * top / (bot**2))[:, None] # term 2

ghx_v = np.einsum("ij,ik->ijk", a_v, hx).reshape((hx.shape[0], -1))
ghy_v = np.einsum("ij,ik->ijk", a_v, hy).reshape((hy.shape[0], -1))
ghz_v = np.einsum("ij,ik->ijk", a_v, hz).reshape((hz.shape[0], -1))
gex_v = np.einsum("ij,ik->ijk", b_v, ex).reshape((ex.shape[0], -1))
gey_v = np.einsum("ij,ik->ijk", b_v, ey).reshape((ey.shape[0], -1))
e_v = (
2 * (Pex.T @ csr_matrix(gex_v) + Pey.T @ csr_matrix(gey_v)).conjugate()
)
h_v = (
2
* (
Phx.T @ csr_matrix(ghx_v)
+ Phy.T @ csr_matrix(ghy_v)
+ Phz.T @ csr_matrix(ghz_v)
).conjugate()
)

fu_e_v, fm_e_v = f._eDeriv(src, None, e_v, adjoint=True)
fu_h_v, fm_h_v = f._hDeriv(src, None, h_v, adjoint=True)
Expand Down
Loading