simpeg.electromagnetics.frequency_domain.receivers.PointMagneticFluxDensitySecondary

class simpeg.electromagnetics.frequency_domain.receivers.PointMagneticFluxDensitySecondary(locations, orientation='x', component='real', **kwargs)

Bases: BaseRx

Measure FDEM secondary magnetic flux density at a point.

Parameters:

locations(n_loc, n_dim) numpy.ndarray

Receiver locations.

orientation{‘x’, ‘y’, ‘z’}

Receiver orientation.

component{‘real’, ‘imag’}

Real or imaginary component.

Attributes

component	Data component; i.e. real or imaginary.
data_type	The type of data for this receiver.
locations	Receiver locations
nD	Number of data associated with the receiver
orientation	Orientation of the receiver.
uid	Universal unique identifier
use_source_receiver_offset	Use source-receiver offset.

Methods

eval(src, mesh, f)	Project fields from the mesh to the receiver(s).
evalDeriv(src, mesh, f[, du_dm_v, v, adjoint])	Derivative of the projected fields with respect to the model, times a vector.
getP(mesh, projected_grid)	Get projection matrix from mesh to receivers

Galleries and Tutorials using simpeg.electromagnetics.frequency_domain.receivers.PointMagneticFluxDensitySecondary

2D inversion of Loop-Loop EM Data

2D inversion of Loop-Loop EM Data

Heagy et al., 2017 1D RESOLVE and SkyTEM Bookpurnong Inversions

Heagy et al., 2017 1D RESOLVE and SkyTEM Bookpurnong Inversions

Heagy et al., 2017 1D RESOLVE Bookpurnong Inversion

Heagy et al., 2017 1D RESOLVE Bookpurnong Inversion

Heagy et al., 2017 1D FDEM and TDEM inversions

Heagy et al., 2017 1D FDEM and TDEM inversions

3D Forward Simulation on a Cylindrical Mesh

3D Forward Simulation on a Cylindrical Mesh

3D Forward Simulation on a Tree Mesh

3D Forward Simulation on a Tree Mesh