SimPEG.maps.ParametricPolyMap#
- class SimPEG.maps.ParametricPolyMap(mesh, order, logSigma=True, normal='X', actInd=None, slope=10000.0)[source]#
- Bases: - SimPEG.maps.IdentityMap- Mapping for 2 layer model whose interface is defined by a polynomial. - This mapping is used when the cells lying below the Earth’s surface can be parameterized by a 2 layer model whose interface is defined by a polynomial function. The model is defined by the physical property values for each unit (\(\sigma_1\) and \(\sigma_2\)) and the coefficients for the polynomial function (\(\mathbf{c}\)). - For a 2D mesh , the interface is defined by a polynomial function of the form: \[p(x) = \sum_{i=0}^N c_i x^i\]- where \(c_i\) are the polynomial coefficients and \(N\) is the order of the polynomial. In this case, the model is defined as \[\mathbf{m} = [\sigma_1, \;\sigma_2,\; c_0 ,\;\ldots\; ,\; c_N]\]- The mapping \(\mathbf{u}(\mathbf{m})\) from the model to the mesh is given by: \[\mathbf{u}(\mathbf{m}) = \sigma_1 + (\sigma_2 - \sigma_1) \bigg [ \frac{1}{2} + \pi^{-1} \arctan \bigg ( a \Big ( \mathbf{p}(\mathbf{x_c}) - \mathbf{y_c} \Big ) \bigg ) \bigg ]\]- where \(\mathbf{x_c}\) and \(\mathbf{y_c}\) are vectors containing the x and y cell center locations for all active cells in the mesh, and \(a\) is a parameter which defines the sharpness of the boundary between the two layers. \(\mathbf{p}(\mathbf{x_c})\) evaluates the polynomial function for every element in \(\mathbf{x_c}\). - For a 3D mesh , the interface is defined by a 2D polynomial function of the form: \[p(x,y) = \sum_{j=0}^{N_y} \sum_{i=0}^{N_x} c_{ij} \, x^i y^j\]- where \(c_{ij}\) are the polynomial coefficients. \(N_x\) and \(N_y\) define the order of the polynomial in \(x\) and \(y\), respectively. In this case, the model is defined as: \[\mathbf{m} = [\sigma_1, \; \sigma_2, \; c_{0,0} , \; c_{1,0} , \;\ldots , \; c_{N_x, N_y}]\]- The mapping \(\mathbf{u}(\mathbf{m})\) from the model to the mesh is given by: \[\mathbf{u}(\mathbf{m}) = \sigma_1 + (\sigma_2 - \sigma_1) \bigg [ \frac{1}{2} + \pi^{-1} \arctan \bigg ( a \Big ( \mathbf{p}(\mathbf{x_c,y_c}) - \mathbf{z_c} \Big ) \bigg ) \bigg ]\]- where \(\mathbf{x_c}, \mathbf{y_c}\) and \(\mathbf{y_z}\) are vectors containing the x, y and z cell center locations for all active cells in the mesh. \(\mathbf{p}(\mathbf{x_c, y_c})\) evaluates the polynomial function for every corresponding pair of \(\mathbf{x_c}\) and \(\mathbf{y_c}\) elements. - Parameters
- meshdiscretize.BaseMesh
- A discretize mesh 
- orderintorlistofint
- Order of the polynomial. For a 2D mesh, this is an - int. For a 3D mesh, the order for both variables is entered separately; i.e. [order1 , order2].
- logSigmabool
- If - True, parameters \(\sigma_1\) and \(\sigma_2\) represent the natural log of a physical property.
- normal{‘x’, ‘y’, ‘z’}
- actIndnumpy.ndarray
- Active cells array. Can be a boolean - numpy.ndarrayof length mesh.nC or a- numpy.ndarrayof- intcontaining the indices of the active cells.
 
- mesh
 - Examples - Attributes - Active indices of the mesh. - Whether the input needs to be transformed by an exponential - Number of active cells being mapped too. - Number of parameters the mapping acts on. - The projection axis. - Dimensions of the mapping. - Sharpness of the boundary. - Methods - deriv(m[, v])- Derivative of the mapping with respect to the model.