simpeg.potential_fields.gravity.Point#
- class simpeg.potential_fields.gravity.Point(locations, components='gz', **kwargs)[source]#
Bases:
BaseRx
Point receiver class for gravity simulations
The Point receiver defines the locations and the components of the gravity field that are simulated at each location. The length of the resulting data vector is n_loc X n_comp, and is organized by location then component.
Important
Density model is assumed to be in g/cc.
Important
Acceleration components (“gx”, “gy”, “gz”) are returned in mgal (\(10^{-5} m/s^2\)).
Important
Gradient components (“gxx”, “gyy”, “gzz”, “gxy”, “gxz”, “gyz”) are returned in Eotvos (\(10^{-9} s^{-2}\)).
- Parameters:
- locations: (n_loc, 3) numpy.ndarray
Receiver locations
- components: str or list of str
Data component(s) measured at each receiver location. Use a
str
for a single component or alist
ofstr
if multiple components are simulated at each location. Component choices are:“gx” –> x-component of the gravity field
“gy” –> y-component of the gravity field
“gz” –> z-component of the gravity field (DEFAULT)
“gxx” –> x-derivative of the x-component
“gxy” –> y-derivative of the x-component (and visa versa)
“gxz” –> z-derivative of the x-component (and visa versa)
“gyy” –> y-derivative of the y-component
“gyz” –> z-derivative of the y-component (and visa versa)
“gzz” –> z-derivative of the z-component
“guv” –> UV component
Attributes
Methods
Galleries and Tutorials using simpeg.potential_fields.gravity.Point
#
PF: Gravity: Tiled Inversion Linear
Forward Simulation of Gravity Anomaly Data on a Tensor Mesh
Forward Simulation of Gradiometry Data on a Tree Mesh
Least-Squares Inversion of Gravity Anomaly Data
Sparse Norm Inversion of Gravity Anomaly Data
Compare weighting strategy with Inversion of surface Gravity Anomaly Data
Cross-gradient Joint Inversion of Gravity and Magnetic Anomaly Data