SimPEG.potential_fields.magnetics.Point#

class SimPEG.potential_fields.magnetics.Point(locations, components='tmi', **kwargs)[source]#

Bases: BaseRx

Magnetic point receiver class for integral formulation

Parameters:
locations(n, 3) numpy.ndarray

Receiver locations.

componentsstr or list of str, default: ‘tmi’

Use a str for a single component or a list of str if multiple components are simulated at each location. Component choices are:

  • “tmi” –> total magnetic intensity data (DEFAULT)

  • “bx” –> x-component of the magnetic field

  • “by” –> y-component of the magnetic field

  • “bz” –> z-component of the magnetic field

  • “bxx” –> x-derivative of the x-component

  • “bxy” –> y-derivative of the x-component (and visa versa)

  • “bxz” –> z-derivative of the x-component (and visa versa)

  • “byy” –> y-derivative of the y-component

  • “byz” –> z-derivative of the y-component (and visa versa)

  • “bzz” –> z-derivative of the z-component

Notes

If predicting amplitude data, you must set include ‘bx’, ‘by’, and ‘bz’ here, and set is_amplitude_data in the magnetics.Simulation3DIntegral to True.

Attributes

nD

Number of data.

Galleries and Tutorials using SimPEG.potential_fields.magnetics.Point#

Maps: ComboMaps

Maps: ComboMaps

Magnetic inversion on a TreeMesh

Magnetic inversion on a TreeMesh

Magnetic inversion on a TreeMesh

Magnetic inversion on a TreeMesh

Magnetic Amplitude inversion on a TreeMesh

Magnetic Amplitude inversion on a TreeMesh

Forward Simulation of Total Magnetic Intensity Data

Forward Simulation of Total Magnetic Intensity Data

Forward Simulation of Gradiometry Data for Magnetic Vector Models

Forward Simulation of Gradiometry Data for Magnetic Vector Models

Sparse Norm Inversion for Total Magnetic Intensity Data on a Tensor Mesh

Sparse Norm Inversion for Total Magnetic Intensity Data on a Tensor Mesh

Cross-gradient Joint Inversion of Gravity and Magnetic Anomaly Data

Cross-gradient Joint Inversion of Gravity and Magnetic Anomaly Data