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: BaseSimulation

1D DC Simulation

Attributes

`clean_on_model_update`	A list of solver objects to clean when the model is updated
`counter`	SimPEG `Counter` object to store iterations and run-times.
`deleteTheseOnModelUpdate`	A list of properties stored on this object to delete when the model is updated
`fix_Jmatrix`	Whether to fix the sensitivity matrix between iterations.
`hankel_filter`	The hankel filter key.
`mesh`	Mesh for the simulation.
`model`	The inversion model.
`needs_model`	True if a model is necessary
`rho`	Electrical resistivity (ohm m) physical property model.
`rhoDeriv`	Derivative of Electrical resistivity (Ohm m) wrt the model.
`rhoMap`	Mapping of the inversion model to Electrical resistivity (Ohm m).
`sensitivity_path`	Path to directory where sensitivity file is stored.
`sigma`	Electrical conductivity (s/m) physical property model.
`sigmaDeriv`	Derivative of Electrical conductivity (S/m) wrt the model.
`sigmaMap`	Mapping of the inversion model to Electrical conductivity (S/m).
`solver`	Numerical solver used in the forward simulation.
`solver_opts`	Solver-specific parameters.
`storeJ`	Whether to store the sensitivity matrix.
`survey`	The DC survey object.
`thicknesses`	Thicknesses of the layers physical property model.
`thicknessesDeriv`	Derivative of thicknesses of the layers wrt the model.
`thicknessesMap`	Mapping of the inversion model to thicknesses of the layers.
`verbose`	Verbose progress printout.

Methods

`Jtvec`(m, v[, f])	Compute adjoint sensitivity matrix (J^T) and vector (v) product.
`Jtvec_approx`(m, v[, f])	Approximation of the Jacobian transpose times a vector for the model provided.
`Jvec`(m, v[, f])	Compute sensitivity matrix (J) and vector (v) product.
`Jvec_approx`(m, v[, f])	Approximation of the Jacobian times a vector for the model provided.
`dpred`([m, f])	Project fields to receiver locations :param Fields u: fields object :rtype: numpy.ndarray :return: data
`fields`(m)	Return the computed geophysical fields for the model provided.
`getJ`(m[, f, factor])	Generate Full sensitivity matrix using central difference
`make_synthetic_data`(m[, relative_error, ...])	Make synthetic data for the model and Gaussian noise provided.
`residual`(m, dobs[, f])	The data residual.

Galleries and Tutorials using `simpeg.electromagnetics.static.resistivity.Simulation1DLayers`#

Simulate a 1D Sounding over a Layered Earth

Least-Squares 1D Inversion of Sounding Data

Sparse 1D Inversion of Sounding Data

Parametric 1D Inversion of Sounding Data

simpeg.electromagnetics.static.resistivity.Simulation1DLayers#

Galleries and Tutorials using simpeg.electromagnetics.static.resistivity.Simulation1DLayers#

Galleries and Tutorials using `simpeg.electromagnetics.static.resistivity.Simulation1DLayers`#