SimPEG.maps.InjectActiveCells#
- class SimPEG.maps.InjectActiveCells(mesh, indActive=None, valInactive=0.0, nC=None)[source]#
Bases:
SimPEG.maps.IdentityMapMap active cells model to all cell of a mesh.
The
InjectActiveCellsclass is used to define the mapping when the model consists of physical property values for a set of active mesh cells; e.g. cells below topography. For a discrete set of model parameters \(\mathbf{m}\) defined on a set of active cells, the mapping \(\mathbf{u}(\mathbf{m})\) is defined as:\[\mathbf{u}(\mathbf{m}) = \mathbf{Pm} + \mathbf{d}\, m_\perp\]where \(\mathbf{P}\) is a (nC , nP) projection matrix from active cells to all mesh cells, and \(\mathbf{d}\) is a (nC , 1) matrix that projects the inactive cell value \(m_\perp\) to all inactive mesh cells.
- Parameters
- mesh
discretize.BaseMesh A discretize mesh
- indActive
numpy.ndarray Active cells array. Can be a boolean
numpy.ndarrayof length mesh.nC or anumpy.ndarrayofintcontaining the indices of the active cells.- valInactive
floatornumpy.ndarray The physical property value assigned to all inactive cells in the mesh
- mesh
Attributes
- Returns
Number of parameters the model acts on.
Dimensions of the mapping
The physical property value assigned to all inactive cells in the mesh.
Methods
deriv(m[, v])Derivative of the mapping with respect to the input parameters.
inverse(u)Recover the model parameters (active cells) from a set of physical property values defined on the entire mesh.
Galleries and Tutorials using SimPEG.maps.InjectActiveCells#
Predict Response from a Conductive and Magnetically Viscous Earth
Method of Equivalent Sources for Removing VRM Responses
Heagy et al., 2017 1D RESOLVE and SkyTEM Bookpurnong Inversions
Heagy et al., 2017 1D RESOLVE Bookpurnong Inversion
Joint PGI of Gravity + Magnetic on an Octree mesh using full petrophysical information
Joint PGI of Gravity + Magnetic on an Octree mesh without petrophysical information
Forward Simulation of Total Magnetic Intensity Data
Forward Simulation of Gradiometry Data for Magnetic Vector Models
Sparse Norm Inversion for Total Magnetic Intensity Data on a Tensor Mesh
2.5D DC Resistivity and IP Least-Squares Inversion
3D Forward Simulation for Transient Response on a Cylindrical Mesh
Cross-gradient Joint Inversion of Gravity and Magnetic Anomaly Data
Forward Simulation of Gravity Anomaly Data on a Tensor Mesh
Forward Simulation of Gradiometry Data on a Tree Mesh
