Base SimPEG Classes (SimPEG)

SimPEG is built off of several base classes that define the general structure of simulations and inversion operations.

Simulations

Base Simulations

simulation.BaseSimulation([mesh, survey, ...])	BaseSimulation is the base class for all geophysical forward simulations in SimPEG.
simulation.BaseTimeSimulation([mesh, t0, ...])	Base class for a time domain simulation
simulation.LinearSimulation([mesh, ...])	Class for a linear simulation of the form
simulation.ExponentialSinusoidSimulation([...])	This is the simulation class for the linear problem consisting of exponentially decaying sinusoids.
base.BasePDESimulation([mesh, survey, ...])	Attributes
base.BaseElectricalPDESimulation(mesh[, ...])	Attributes
base.BaseMagneticPDESimulation(mesh[, mu, ...])	Attributes

Base Surveys, Sources and Receivers

survey.BaseRx(locations[, storeProjections])	Base SimPEG receiver class.
survey.BaseTimeRx(locations, times, **kwargs)	Base SimPEG receiver class for time-domain simulations
survey.BaseSrc([receiver_list, location])	Base SimPEG source class.
survey.BaseSurvey(source_list[, counter])	Base SimPEG survey class.
survey.BaseTimeSurvey(source_list[, counter])	Base SimPEG survey class for time-dependent simulations.

Models

models.Model(shape[, dtype, buffer, offset, ...])	Attributes
props.PhysicalProperty(short_details[, ...])	Attributes
props.Derivative([short_details, ...])	Attributes
props.Invertible(property_name)
props.Reciprocal(prop1, prop2)
props.HasModel([model])	Attributes

Data

data.Data(survey[, dobs, relative_error, ...])	Class for defining data in SimPEG.
data.SyntheticData(survey[, dobs, dclean, ...])	Class for creating synthetic data.

Fields

fields.Fields(simulation[, knownFields, ...])	Fancy Field Storage .. code::python fields = Fields( simulation=simulation, knownFields={"phi": "CC"} ) fields[:,'phi'] = phi print(fields[src0,'phi']).
fields.TimeFields(simulation[, knownFields, ...])	Fancy Field Storage for time domain problems .

Mappings

maps.BaseParametric(mesh[, slope, ...])	Base class for parametric mappings from simple geological structures to meshes.
maps.ChiMap([mesh, nP])	Mapping that computes the magnetic permeability given a set of magnetic susceptibilities.
maps.ComboMap(maps, **kwargs)	Combination mapping constructed by joining a set of other mappings.
maps.ComplexMap([mesh, nP])	Maps the real and imaginary component values stored in a model to complex values.
maps.ExpMap([mesh, nP])	Mapping that computes the natural exponentials of the model parameters.
maps.LinearMap(A[, b])	A generalized linear mapping.
maps.IdentityMap([mesh, nP])	Identity mapping and the base mapping class for all other SimPEG mappings.
maps.InjectActiveCells(mesh[, indActive, ...])	Map active cells model to all cell of a mesh.
maps.MuRelative([mesh, nP])	Mapping that computes the magnetic permeability given a set of relative permeabilities.
maps.LogMap([mesh, nP])	Mapping that computes the natural logarithm of the model parameters.
maps.ParametricBlock(mesh[, epsilon, p])	Mapping for a rectangular block within a wholespace.
maps.ParametricCircleMap(mesh[, logSigma, slope])	Mapping for a parameterized circle.
maps.ParametricEllipsoid(mesh, **kwargs)	Mapping for a rectangular block within a wholespace.
maps.ParametricLayer(mesh, **kwargs)	Mapping for a horizontal layer within a wholespace.
maps.ParametricPolyMap(mesh, order[, ...])	Mapping for 2 layer model whose interface is defined by a polynomial.
maps.Projection(nP, index, **kwargs)	Projection mapping.
maps.ReciprocalMap([mesh, nP])	Mapping that computes the reciprocals of the model parameters.
maps.SphericalSystem([mesh, nP])	Mapping vectors from spherical to Cartesian coordinates.
maps.Surject2Dto3D(mesh[, normal])	Map 2D tensor model to 3D tensor mesh.
maps.SurjectFull(mesh, **kwargs)	Mapping a single property value to all mesh cells.
maps.SurjectUnits(indices, **kwargs)	Surjective mapping to all mesh cells.
maps.SurjectVertical1D(mesh, **kwargs)	Map 1D layered Earth model to 2D or 3D tensor mesh.
maps.Weighting([mesh, nP, weights])	Mapping that scales the elements of the model by a corresponding set of weights.
maps.Wires(*args)	Mapping class for organizing multiple parameter types into a single model.

Inversions

Objective Function Pieces

objective_function.BaseObjectiveFunction([nP])	Base Objective Function
objective_function.ComboObjectiveFunction([...])	A composite objective function that consists of multiple objective functions.
objective_function.L2ObjectiveFunction([W])	An L2-Objective Function
data_misfit.BaseDataMisfit(data, simulation)
data_misfit.L2DataMisfit(data, simulation[, ...])	The data misfit with an l_2 norm:

Optimizations

optimization.ProjectedGradient(**kwargs)	Methods
optimization.BFGS(**kwargs)	Attributes
optimization.GaussNewton(**kwargs)	Methods
optimization.InexactGaussNewton(**kwargs)	Minimizes using CG as the inexact solver of
optimization.SteepestDescent(**kwargs)	Methods
optimization.NewtonRoot(**kwargs)	Newton Method - Root Finding
optimization.ProjectedGNCG(**kwargs)	Attributes
optimization.Minimize(**kwargs)	Minimize is a general class for derivative based optimization.
optimization.Remember()	This mixin remembers all the things you tend to forget.
optimization.IterationPrinters()	docstring for IterationPrinters
optimization.StoppingCriteria()	docstring for StoppingCriteria

Base inversion pieces

inverse_problem.BaseInvProblem(dmisfit, reg, opt)	Attributes
inversion.BaseInversion(invProb[, ...])	Inversion Class