SimPEG.electromagnetics.static.resistivity.Simulation1DLayers#
- class SimPEG.electromagnetics.static.resistivity.Simulation1DLayers(survey=None, sigma=None, sigmaMap=None, rho=None, rhoMap=None, thicknesses=None, thicknessesMap=None, hankel_filter='key_201_2012', fix_Jmatrix=False, **kwargs)[source]#
- Bases: - SimPEG.simulation.BaseSimulation- 1D DC Simulation - Attributes - A list of properties stored on this object to delete when the model is updated - Whether to fix the sensitivity matrix between iterations. - The hankel filter key. - Electrical resistivity (ohm m) physical property model. - Derivative of Electrical resistivity (Ohm m) wrt the model. - Mapping of the inversion model to Electrical resistivity (Ohm m). - Electrical conductivity (s/m) physical property model. - Derivative of Electrical conductivity (S/m) wrt the model. - Mapping of the inversion model to Electrical conductivity (S/m). - Whether to store the sensitivity matrix. - The DC survey object. - Thicknesses of the layers physical property model. - Derivative of thicknesses of the layers wrt the model. - Mapping of the inversion model to thicknesses of the layers. - Methods - Jtvec(m, v[, f])- Compute adjoint sensitivity matrix (J^T) and vector (v) product. - Jvec(m, v[, f])- Compute sensitivity matrix (J) and vector (v) product. - dpred([m, f])- Project fields to receiver locations :param Fields u: fields object :rtype: numpy.ndarray :return: data - fields(m)- u = fields(m) The field given the model. - getJ(m[, f, factor])- Generate Full sensitivity matrix using central difference 
 
 
 
