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Version:
2024.1.1
Salvus documentation version
2024.1.1
2024.1.0
0.12.16
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GETTING STARTED
Installation
Where to Run Things?
Python Packages
Mondaic Downloader
SalvusFlow Configuration
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Example Site Configurations
Advanced Topics
Apple M-Series chips
Windows
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Release Notes for Salvus 2024.X
Older Versions
Release Notes for Salvus 0.11.X
Knowledge Base
Wave Equation
Boundary Conditions
Natural Boundary Conditions
Homogeneous Dirichlet
Absorbing Boundaries
Mesh Generation
Spectral-Element Modelling
Dispersion Error
Wavefield Separation
Parameterizations
Units
Inverse Problems
Velocity Misfits
Gradient Misfits
Examples & Tutorials
Tutorials
Getting Started
First Steps
Part 1 - My first simulation
Part 2 - My first inversion
Next Steps
Part 1 - First simulation
Part 2 - Verification
Part 3 - Visualization
Part 4 - Heterogeneous models
Models and topography
Model order
Parameterizations
Simple topography
Layered models
Heterogeneous models and slice extraction
Marmousi
3D surface topography
Meshing
Meshing of layered models
Part 1 - Basics
Part 2 - Basics: Partitioning and Policies
Part 3 - Meshing complex geophysical domains
Importing external meshes
Mesh-to-mesh interpolation
Cylindrical meshes
Data-adaptive mesh masking
Sources and receivers
Introduction
Locating sources and receivers
Custom source time functions
Equivalence of filtering STFs and filtering synthetics
Waveform physics
Attenuation
Acoustic VTI
2D teleseismic simulation
Ocean loading
Data analysis
Receiver Gathers
Wavefield Output
Inversion
Full-waveform inversion
Part 1 - Setup
Part 2 - Synthetics
Part 3 - Sensitivities
Part 4 - Iterations
Part 5 - Extensions
Gradient preconditioning
Smoothing
Homogeneous media
Gradients for Seismology
Advanced Interface
Lamb's problem
Model interpolation
SalvusFlow API
Manual gradient computation
Marmousi
Applications
Seismology
Continental-scale simulations
Sensitivity kernels
Global-scale simulation
Geotech
Ground motion modeling of buildings
Real data continental-scale FWI
Part 0 - Prologue
Part 1 - Project setup & data acquisition
Part 2 - Forward simulations
Part 3 - Data selection and misfit definition
Part 4 - Iterative inversion
Near Surface
Part 0 - Prologue
Part 1 - Project setup & importing external data
Part 2 - Starting Model
Part 3 - 3D-to-2D Conversion
Integration Tests
Analytic Tests
Semi-analytic test - Acoustic
Semi-analytic test - Elastic
Semi-analytic test - Coupled
On-the-fly Fourier transform
Analytic test - Diffusion equation
Analytic test - Poisson's equation
Gradient Tests
Gradient test simple physics
Gradient test TTI medium
Reference Documentation
SalvusCompute API
SalvusMesh Interfaces
Cartesian2D
Cartesian3D
Cartesian2DHomogeneous
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SmoothieSEM
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implementations
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PUBLICATIONS
python_api
/
salvus
/
mesh
/
algorithms
/
optimize_dt
salvus.mesh.algorithms.optimize_dt
A mesh smoother optimizing the miller estimate of the time step.
Functions
dgamma()
dgamma_h()
gamma()
gamma_h()
optimize_dt()
optimize_dt_locally()
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GETTING STARTED
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