SimPEG.simulation.BaseSimulation#
- class SimPEG.simulation.BaseSimulation(mesh=None, survey=None, solver=None, solver_opts=None, sensitivity_path='./sensitivity', counter=None, verbose=False, **kwargs)[source]#
- Bases: - SimPEG.props.HasModel- BaseSimulation 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
 
Response from a Homogeneous Layer for Different Waveforms
 
1D Forward Simulation for a Susceptible and Chargeable Earth
 
Forward Simulation of Gravity Anomaly Data on a Tensor Mesh
 
Forward Simulation of Gradiometry Data on a Tree Mesh
 
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
 
2.5D DC Resistivity and IP Least-Squares Inversion
 
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
 
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
 
Sparse Inversion with Iteratively Re-Weighted Least-Squares
 
Cross-gradient Joint Inversion of Gravity and Magnetic Anomaly Data
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
