simpeg.electromagnetics.static.resistivity.receivers.Dipole#

class simpeg.electromagnetics.static.resistivity.receivers.Dipole(locations_m=None, locations_n=None, locations=None, **kwargs)[source]#

Bases: BaseRx

Dipole receiver class

Parameters:
locations_m(n_loc, dim) numpy.ndarray

M electrode locations; remember to set ‘locations_n’ keyword argument to define N electrode locations.

locations_n(n_loc, dim) numpy.ndarray

N electrode locations; remember to set ‘locations_m’ keyword argument to define M electrode locations.

locationslist or tuple of length 2 of numpy.ndarray

M and N electrode locations. In this case, do not set the ‘locations_m’ and ‘locations_n’ keyword arguments. And we supply a list or tuple of the form [locations_m, locations_n].

data_type{‘volt’, ‘apparent_resistivity’, ‘apparent_chargeability’}

Data type.

Attributes

data_type

Data type; i.e. "volt", "apparent_resistivity", "apparent_chargeability".

geometric_factor

Calculate geometric factor for every receiver.

locations

M and N electrode locations

locations_m

Locations of the M-electrodes

locations_n

Locations of the N-electrodes

nD

Number of data associate with the receiver(s).

orientation

Orientation of the receiver.

projField

Fields on the mesh

uid

Universal unique identifier

Methods

eval(src, mesh, f)

Project fields from the mesh to the receiver(s).

evalDeriv(src, mesh, f[, v, adjoint])

Derivative of the projected fields with respect to the model, times a vector.

getP(mesh, projected_grid[, transpose])

Get projection matrix from mesh to receivers

Notes

Either pass both locations_m and locations_n arguments, or pass only locations argument.

Galleries and Tutorials using simpeg.electromagnetics.static.resistivity.receivers.Dipole#

DC Analytic Dipole

DC Analytic Dipole

Simulate a 1D Sounding over a Layered Earth

Simulate a 1D Sounding over a Layered Earth

Least-Squares 1D Inversion of Sounding Data

Least-Squares 1D Inversion of Sounding Data

Sparse 1D Inversion of Sounding Data

Sparse 1D Inversion of Sounding Data

Parametric 1D Inversion of Sounding Data

Parametric 1D Inversion of Sounding Data