SimPEG.simulation.BaseSimulation#
- class SimPEG.simulation.BaseSimulation(mesh=None, survey=None, solver=None, solver_opts=None, sensitivity_path=None, counter=None, verbose=False, **kwargs)[source]#
Bases:
SimPEG.props.HasModelBaseSimulation is the base class for all geophysical forward simulations in SimPEG.
Attributes
The counter.
Discretize mesh for the simulation
Path to store the sensitivty.
Linear algebra solver (e.g.
Options passed to the solver class on initialization.
The survey for the simulation.
Verbosity flag.
Methods
Jtvec(m, v[, f])Jtv = Jtvec(m, v, f=None) Effect of transpose of J(m) on a vector v.
Jtvec_approx(m, v[, f])Approximate effect of transpose of J(m) on a vector v.
Jvec(m, v[, f])Jv = Jvec(m, v, f=None) Effect of J(m) on a vector v.
Jvec_approx(m, v[, f])Approximate effect of J(m) on a vector v :param numpy.ndarray m: model :param numpy.ndarray v: vector to multiply :param Fields f: fields :rtype: numpy.ndarray :return: approxJv
dpred(m[, f])Create the projected data from a model.
fields([m])u = fields(m) The field given the model.
make_synthetic_data(m[, relative_error, ...])Make synthetic data given a model, and a standard deviation.
residual(m, dobs[, f])The data residual:
Galleries and Tutorials using SimPEG.simulation.BaseSimulation#
Time-domain CSEM for a resistive cube in a deep marine setting
Predict Response from a Conductive and Magnetically Viscous Earth
Method of Equivalent Sources for Removing VRM Responses
Petrophysically guided inversion (PGI): Linear example
Petrophysically guided inversion: Joint linear example with nonlinear relationships
Heagy et al., 2017 1D RESOLVE and SkyTEM Bookpurnong Inversions
Heagy et al., 2017 1D RESOLVE Bookpurnong Inversion
1D Forward Simulation for a Susceptible and Chargeable Earth
Sparse Inversion with Iteratively Re-Weighted Least-Squares
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
Forward Simulation for Straight Ray Tomography in 2D
Sparse Norm Inversion of 2D Seismic Tomography Data
1D Forward Simulation with Chargeable and/or Magnetic Viscosity
3D Forward Simulation for Transient Response on a Cylindrical Mesh
1D Inversion of Time-Domain Data for a Single Sounding
Cross-gradient Joint Inversion of Gravity and Magnetic Anomaly Data
Response from a Homogeneous Layer for Different Waveforms
Forward Simulation of Gravity Anomaly Data on a Tensor Mesh
Forward Simulation of Gradiometry Data on a Tree Mesh
