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. 
- componentsstrorlistofstr, default: ‘tmi’
- Use a - strfor a single component or a- listof- strif 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 
- “tmi_x”–> x-derivative of the total magnetic intensity data 
- “tmi_y”–> y-derivative of the total magnetic intensity data 
- “tmi_z”–> z-derivative of the total magnetic intensity data 
 
 
- locations(
 - Attributes - Methods - eval(**kwargs)- Not implemented for BaseRx - evalDeriv(**kwargs)- Not implemented for BaseRx - getP(mesh[, projected_grid])- Get projection matrix from mesh to receivers - 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. 
Galleries and Tutorials using simpeg.potential_fields.magnetics.Point#
 
Cross-gradient Joint Inversion of Gravity and Magnetic Anomaly Data
 
     
 
 
