User Guide

• 1. Choose a workflow
  • 1.1. Starting from EDI files
  • 1.2. Starting from instrument or intermediate formats
  • 1.3. Preparing an inversion
  • 1.4. Working with stations directly
  • 1.5. Automating a reviewed workflow
  • 1.6. Finding the right kind of documentation
• 2. Loading electromagnetic data
  • 2.1. Reading a survey directory
  • 2.2. Inspecting what was loaded
  • 2.3. Reading one file or an explicit selection
  • 2.4. Choosing the right representation
  • 2.5. Normalizing inputs
  • 2.6. Loading EMTF-XML the same way
  • 2.7. Loading airborne surveys
  • 2.8. Preparing data for downstream science
  • 2.9. Common loading problems
  • 2.10. See also
• 3. Transformers
  • 3.1. The Transformer Contract
  • 3.2. Zonge AVG Conversion
  • 3.3. Attaching Station Topography
  • 3.4. Jones J Conversion
  • 3.5. Spectra-EDI Conversion
  • 3.6. Time-Series Conversion
  • 3.7. One Shape, Two Sources
  • 3.8. TEM Soundings To EDI
  • 3.9. Batch Conversion And Failures
  • 3.10. Recording A Workflow Session
  • 3.11. Troubleshooting
  • 3.12. See Also
• 4. Map Tools
  • 4.1. Loading Map Data
    • 4.1.1. Loading Philosophy
    • 4.1.2. Input Types
    • 4.1.3. Single-Line Loading
    • 4.1.4. Multiple-Line Loading
    • 4.1.5. Grouping Modes
    • 4.1.6. Explicit Line Mapping
    • 4.1.7. Normalized Contract
    • 4.1.8. Pre-Flight Checks
    • 4.1.9. Handling Missing or Partial Data
    • 4.1.10. Using Loaded Data
    • 4.1.11. Troubleshooting
  • 4.2. Station Maps
    • 4.2.1. What A Station Map Shows
    • 4.2.2. Function API
    • 4.2.3. Reusing Loaded Data
    • 4.2.4. Builder API
    • 4.2.5. Overlays
    • 4.2.6. Frequency-Based Overlays
    • 4.2.7. Labels, Lines, And Selection
    • 4.2.8. Basemaps
    • 4.2.9. Density And Contour Layers
    • 4.2.10. Themes And Color Scales
    • 4.2.11. Backends
    • 4.2.12. Coordinate Fallback
    • 4.2.13. Exporting Station Maps
    • 4.2.14. Troubleshooting
  • 4.3. Profile Maps And Pseudosections
    • 4.3.1. Function API
    • 4.3.2. Builder API
    • 4.3.3. Quantities And Components
    • 4.3.4. Axes
    • 4.3.5. By-Line Grids
    • 4.3.6. Filtering And Value Ranges
    • 4.3.7. Backends
    • 4.3.8. Options Reference
    • 4.3.9. Troubleshooting
  • 4.4. 3-D Quick-Look Maps
    • 4.4.1. What The 3-D Map Represents
    • 4.4.2. Data Preparation
    • 4.4.3. Function API
    • 4.4.4. Builder API
    • 4.4.5. Modes
    • 4.4.6. Mode Examples
    • 4.4.7. ModEM Inversion Volumes
    • 4.4.8. Filtering
    • 4.4.9. Components
    • 4.4.10. Line Spacing And Azimuth
    • 4.4.11. Topography And Terrain
    • 4.4.12. Station Markers
    • 4.4.13. Color And Theme Controls
    • 4.4.14. Exporting 3-D Views
    • 4.4.15. Troubleshooting
  • 4.5. Map Overlays
    • 4.5.1. Coordinates Before Decoration
    • 4.5.2. Basemap Extent And Style
    • 4.5.3. Measured Points And Interpolated Surfaces
    • 4.5.4. Lines, Labels, And Response Values
    • 4.5.5. Multiple Lines Without Visual Crowding
    • 4.5.6. Topography Is Geometry, Not Response
    • 4.5.7. Composing A Custom Figure
    • 4.5.8. Troubleshooting
  • 4.6. Exporting Map Figures
    • 4.6.1. Choosing An Export Helper
    • 4.6.2. Output Directories
    • 4.6.3. HTML
    • 4.6.4. Explicit Format
    • 4.6.5. PNG
    • 4.6.6. Other Static Image Formats
    • 4.6.7. JSON And Dict Export
    • 4.6.8. ExportOptions Reference
    • 4.6.9. Batch Export
    • 4.6.10. MapView Export
    • 4.6.11. Round-Trip And Testing Workflows
    • 4.6.12. Recommended Formats
    • 4.6.13. Troubleshooting
  • 4.7. MapView Session
    • 4.7.1. Create And Inspect A Session
    • 4.7.2. Render Consistent Views
    • 4.7.3. Options, Defaults, And Overrides
    • 4.7.4. Generic Figure Dispatch
    • 4.7.5. Elevation And Topography Handoffs
    • 4.7.6. Export Reproducible Products
    • 4.7.7. Launch The Platform
• 5. Topography
  • 5.1. Terrain-Following Coordinates
    • 5.1.1. Reading the terrain from a survey
    • 5.1.2. The transform
    • 5.1.3. The PYCSAMT_TOPO singleton
  • 5.2. Extracting Station Topography
    • 5.2.1. Any container, one answer
    • 5.2.2. Knowing when there is nothing to drape
  • 5.3. Draping Flat Grids Over Terrain
    • 5.3.1. Interpolating between stations
    • 5.3.2. From station positions to mesh nodes
    • 5.3.3. Masking cells that end up above the surface
    • 5.3.4. Vertical exaggeration, and where it does not reach
  • 5.4. Terrain Overlays on Section Axes
    • 5.4.1. Set the axes limits first
    • 5.4.2. Station markers and label thinning
    • 5.4.3. The pseudosection strip: station index, not real distance
    • 5.4.4. A plain label helper
  • 5.5. One-Call Topography-Embedded Sections
    • 5.5.1. Any model, one grid
    • 5.5.2. Resolving topography
    • 5.5.3. Depth window and units – a real gotcha
    • 5.5.4. Colour scaling ignores outliers by default
    • 5.5.5. Default styling: white air, white markers
    • 5.5.6. Terrain-draped section, one call
• 6. Inversion
  • 6.1. Overview
    • 6.1.1. Before Any Inversion
    • 6.1.2. Backend-Neutral Workflow
    • 6.1.3. Minimal MT 1-D
    • 6.1.4. Minimal TDEM 1-D
    • 6.1.5. Profile Inversion
    • 6.1.6. Exports And Review
    • 6.1.7. Hydrogeophysical Handoff
    • 6.1.8. Next Steps
  • 6.2. Classical model integrations
    • 6.2.1. Overview
    • 6.2.2. Choosing A Model Backend
    • 6.2.3. Configuration And File I/O
    • 6.2.4. Compiling the External Solvers
    • 6.2.5. Occam2D
    • 6.2.6. Occam1D inversion
    • 6.2.7. ModEM
    • 6.2.8. MARE2DEM
    • 6.2.9. PCSF — Common Subsurface Format
  • 6.3. AI inversion
    • 6.3.1. AI inversion concepts
    • 6.3.2. Architecture roadmap
    • 6.3.3. Canonical data contracts
    • 6.3.4. Correlated geological priors
    • 6.3.5. Domain-gap and noise simulation
    • 6.3.6. Solver-neutral Maxwell contracts
    • 6.3.7. 2-D Maxwell training-data generation
    • 6.3.8. 3-D Maxwell training-data generation
    • 6.3.9. Loss functions for scientific inversion
    • 6.3.10. Recovery, residual, and OOD diagnostics
    • 6.3.11. Reproducible experiment configuration
    • 6.3.12. AI inversion data preparation
    • 6.3.13. AI model selection
    • 6.3.14. Training AI inversion models
    • 6.3.15. AI inversion inference
    • 6.3.16. AI inversion validation
    • 6.3.17. AI inversion uncertainty
    • 6.3.18. Hybrid AI and physics inversion
    • 6.3.19. Physics-informed 2-D inversion
    • 6.3.20. AI inversion agents
    • 6.3.21. AI inversion reporting
• 7. Geology
  • 7.1. Package concepts
    • 7.1.1. Leaf values and containers
    • 7.1.2. Repr, dictionaries, and metadata
    • 7.1.3. Editing an object: what clone() and update() actually check
    • 7.1.4. Position is always profile-relative
    • 7.1.5. Where to go next
  • 7.2. Rock resistivity database
    • 7.2.1. RockEntry as a value object
    • 7.2.2. Sourcing a table from elsewhere
    • 7.2.3. Where to go next
  • 7.3. Borehole logs
    • 7.3.1. Querying a log directly
    • 7.3.2. Boreholes across a profile
    • 7.3.3. Reading a LAS 2.0 log
    • 7.3.4. Serializing a log
    • 7.3.5. Where to go next
  • 7.4. PCBH — Common Borehole Format
    • 7.4.1. What the document fixes explicitly
    • 7.4.2. Reading and validating a project
    • 7.4.3. Building a document without Python
    • 7.4.4. Importing repeated borehole rows from CSV
    • 7.4.5. Trajectories, intervals, and structures
    • 7.4.6. Using PCBH with legacy calibration
    • 7.4.7. Associating boreholes with PCSF
    • 7.4.8. Interchange and visualization exports
    • 7.4.9. Versioning and independent use
  • 7.5. Structural measurements
    • 7.5.1. Recording a planar measurement
    • 7.5.2. Recording a linear measurement
    • 7.5.3. Fault traces
    • 7.5.4. Collecting evidence along a profile
    • 7.5.5. Where to go next
• 8. Interpretation
  • 8.1. Interpretation workflow
    • 8.1.1. Workflow at a glance
    • 8.1.2. 1. Define the interpretation question
    • 8.1.3. 2. Assemble the evidence package
    • 8.1.4. 3. Normalize the inversion model
    • 8.1.5. 4. Audit the normalized model
    • 8.1.6. 5. Preserve the calculated resistivity model
    • 8.1.7. 6. Load borehole constraints
    • 8.1.8. 7. Calibrate and classify
    • 8.1.9. 8. Compare CRM and NM
    • 8.1.10. 9. Review stratigraphic logs
    • 8.1.11. 10. Validate with withheld evidence
    • 8.1.12. 11. State uncertainty and alternatives
    • 8.1.13. 12. Export reviewable products
    • 8.1.14. Complete minimal example
    • 8.1.15. Interpretation review checklist
    • 8.1.16. Common mistakes
    • 8.1.17. Next steps
  • 8.2. Lithology classification
    • 8.2.1. Built-in rock database
    • 8.2.2. Nearest and overlap matching
    • 8.2.3. Extrapolation and missing values
    • 8.2.4. Custom rock databases
    • 8.2.5. Remote rock databases
    • 8.2.6. Layer merging
    • 8.2.7. Next steps
  • 8.3. Petrophysical toolkit
    • 8.3.1. Archie’s law
    • 8.3.2. Effect of clay conductivity
    • 8.3.3. Physical admissibility bounds
    • 8.3.4. Hydraulic conductivity
    • 8.3.5. Pore-water chemistry
    • 8.3.6. EM depth diagnostics
    • 8.3.7. Profile-based detection
    • 8.3.8. Next steps
  • 8.4. Hydrogeophysical interpretation
    • 8.4.1. What the workflow produces
    • 8.4.2. Recommended workflow
    • 8.4.3. 1. Formulate the question
    • 8.4.4. 2. Prepare the resistivity model
    • 8.4.5. 3. Assemble parameter evidence
    • 8.4.6. 4. Choose the petrophysical model
    • 8.4.7. 5. Configure the deterministic transform
    • 8.4.8. 6. Understand the two-pass algorithm
    • 8.4.9. 7. Run the model
    • 8.4.10. 8. Audit water-table detection
    • 8.4.11. 9. Audit porosity and saturation
    • 8.4.12. 10. Audit hydraulic conductivity
    • 8.4.13. 11. Interpret integrated properties
    • 8.4.14. 12. Create station summaries
    • 8.4.15. 13. Plot hydrogeophysical products
    • 8.4.16. 14. Calibrate with field measurements
    • 8.4.17. 15. Validate independently
    • 8.4.18. 16. Propagate uncertainty
    • 8.4.19. 17. Optional qualitative hydro interpretation
    • 8.4.20. 18. Optional multi-method and time-lapse analysis
    • 8.4.21. 19. Export and preserve provenance
    • 8.4.22. Complete deterministic example
    • 8.4.23. Review checklist
    • 8.4.24. Common mistakes
    • 8.4.25. Next steps
  • 8.5. Monitoring and fusion
    • 8.5.1. Grid compatibility
    • 8.5.2. Time-lapse differencing
    • 8.5.3. From resistivity to hydrology
    • 8.5.4. Monitoring a full sequence
    • 8.5.5. Multi-method fusion
    • 8.5.6. Blend strategies
    • 8.5.7. Fusion edge cases
    • 8.5.8. Next steps
  • 8.6. Uncertainty and validation
    • 8.6.1. What uncertainty means in this workflow
    • 8.6.2. Recommended uncertainty workflow
    • 8.6.3. 1. Audit uncertainty upstream
    • 8.6.4. 2. Define the uncertainty question
    • 8.6.5. 3. Establish a central hydrogeophysical model
    • 8.6.6. 4. Define parameter bounds
    • 8.6.7. 5. Run a reproducible Monte Carlo ensemble
    • 8.6.8. 6. Understand the result
    • 8.6.9. 7. Calculate decision-focused summaries
    • 8.6.10. 8. Retain raw ensembles when distributions matter
    • 8.6.11. 9. Plot estimates and uncertainty together
    • 8.6.12. 10. Check ensemble quality
    • 8.6.13. 11. Include inversion scenario uncertainty
    • 8.6.14. 12. Calibrate against field constraints
    • 8.6.15. 13. Validate with withheld observations
    • 8.6.16. 14. Assign interpretation confidence
    • 8.6.17. 15. Report uncertainty honestly
    • 8.6.18. Complete example
    • 8.6.19. Review checklist
    • 8.6.20. Common mistakes
    • 8.6.21. Next steps
  • 8.7. Export and reporting
    • 8.7.1. Reporting objectives
    • 8.7.2. Recommended reporting workflow
    • 8.7.3. 1. Define audience and reporting level
    • 8.7.4. 2. Separate evidence classes
    • 8.7.5. 3. Freeze provenance before export
    • 8.7.6. 4. Use a controlled directory structure
    • 8.7.7. 5. Export stratigraphic logs to CSV
    • 8.7.8. 6. Export Oasis Montaj XYZ
    • 8.7.9. 7. Export individual LAS logs
    • 8.7.10. 8. Export calibrated models to VTK
    • 8.7.11. 9. Export to Golden Software Surfer
    • 8.7.12. 10. Export deterministic hydro results
    • 8.7.13. 11. Export qualitative hydro interpretation
    • 8.7.14. 12. Export uncertainty summaries
    • 8.7.15. 13. Report calibration residuals
    • 8.7.16. 14. Generate review figures and diagnostics
    • 8.7.17. 15. Write the technical narrative
    • 8.7.18. 16. Build a machine-readable manifest
    • 8.7.19. 17. Add checksums and validate files
    • 8.7.20. 18. Review and approval
    • 8.7.21. 19. Handle revisions and superseded products
    • 8.7.22. 20. Protect sensitive information
    • 8.7.23. Complete export example
    • 8.7.24. Delivery checklist
    • 8.7.25. Common reporting mistakes
    • 8.7.26. Next steps
• 9. IoT-Enabled Field Acquisition
  • 9.1. Basic Session
    • 9.1.1. Station Discovery
    • 9.1.2. Devices And Stations
    • 9.1.3. Assembling The Session
    • 9.1.4. Synthetic QC Telemetry
    • 9.1.5. Session Tables And Status
    • 9.1.6. The Field Dashboard
    • 9.1.7. Carrying Data Forward
    • 9.1.8. Core Concepts
    • 9.1.9. Scope Note
  • 9.2. Generic Edge QC
    • 9.2.1. Synthetic Edge Windows
    • 9.2.2. Coverage And Spike Detection
    • 9.2.3. Per-Channel QC
    • 9.2.4. Encode QC As Telemetry
    • 9.2.5. The Edge QC Figure
  • 9.3. AMT/CSAMT Edge Diagnostics
    • 9.3.1. What The Diagnostics Check
    • 9.3.2. Synthetic Edge Window
    • 9.3.3. Running The Edge Diagnostics
    • 9.3.4. The Diagnostic Figures
    • 9.3.5. Metrics In Telemetry
  • 9.4. Controlled-Source Edge QC (CSAMT / CSEM)
    • 9.4.1. Synthetic Controlled-Source Window
    • 9.4.2. Skin-Depth Field Zones
    • 9.4.3. Transmitter Frequency Comb
    • 9.4.4. Source-Signal Stability
    • 9.4.5. CSEM Offset Response
    • 9.4.6. Transmitter Telemetry
    • 9.4.7. Static Shift Estimate
    • 9.4.8. Transmitter Timing Lock
    • 9.4.9. The Controlled-Source Figure
    • 9.4.10. Report Aggregation
  • 9.5. Method-Aware QC
    • 9.5.1. Method Profiles
    • 9.5.2. Target Bands By Decade
    • 9.5.3. Seeding A Monitor
    • 9.5.4. Method-Aware Edge QC
  • 9.6. Bridging IoT Acquisition and the Data Model
    • 9.6.1. Impedance To Z
    • 9.6.2. Z To EDI
    • 9.6.3. Session To EDI Files
    • 9.6.4. Consistent QC Via Emtools
    • 9.6.5. Seeding A Re-Occupation
    • 9.6.6. Deployment And Raw Records
  • 9.7. Telemetry Transports
    • 9.7.1. Create Canonical Packets
    • 9.7.2. Record A Dry-Run Transport
    • 9.7.3. JSONL Write And Replay
    • 9.7.4. Inspect Packet Tables
    • 9.7.5. Telemetry In A Session
    • 9.7.6. The Telemetry Dashboard
    • 9.7.7. Transport Choices
    • 9.7.8. Backoff And Retry
    • 9.7.9. Bounded Queue Overflow
  • 9.8. Monitoring
    • 9.8.1. Create A Monitored Session
    • 9.8.2. Add Synthetic Telemetry Packets
    • 9.8.3. Packet Tables And Counts
    • 9.8.4. Inspect Enriched Rows
    • 9.8.5. Assess Stream Status
    • 9.8.6. The Monitoring Audit
  • 9.9. Visualization
    • 9.9.1. Building A Visualisation Session
    • 9.9.2. The Field Dashboard
    • 9.9.3. Edge QC Detail
    • 9.9.4. Power Budgets
    • 9.9.5. Clock Synchronisation
    • 9.9.6. Choosing The Right Plot
  • 9.10. Power Management
    • 9.10.1. Building Device Power Profiles
    • 9.10.2. Estimate One Device
    • 9.10.3. Estimate A Deployment
    • 9.10.4. Encode Power Telemetry
    • 9.10.5. The Power Budget Figure
  • 9.11. Clock Synchronisation
    • 9.11.1. What Is Measured
    • 9.11.2. Synthetic Reference Samples
    • 9.11.3. Assess Individual Devices
    • 9.11.4. Assess A Deployment
    • 9.11.5. The Batch Helper
    • 9.11.6. Detect GPS Dropout
    • 9.11.7. The Synchronisation Figure
  • 9.12. Provenance and Reproducibility
    • 9.12.1. Hash A Raw File
    • 9.12.2. Log QC Decisions
    • 9.12.3. Building A Session Manifest
    • 9.12.4. Verifying The Content Hash
    • 9.12.5. Inspect A Station Record
    • 9.12.6. Building A Manual Audit
    • 9.12.7. Hash-Chained QC Logs
    • 9.12.8. Signed Manifests
    • 9.12.9. Exporting A Reproducibility Bundle
  • 9.13. Security
    • 9.13.1. TLS And Bearer Authentication
    • 9.13.2. Build Client Options
    • 9.13.3. Other Credential Schemes
    • 9.13.4. Load From Environment
    • 9.13.5. Protocol Policy
    • 9.13.6. Validation Checks
    • 9.13.7. Field Guidance
  • 9.14. Simulation
    • 9.14.1. Simulate AMT Channels
    • 9.14.2. Simulate One Station
    • 9.14.3. Simulate A Network
    • 9.14.4. Monitor Simulated Packets
    • 9.14.5. Simulating GPS Drift
    • 9.14.6. Simulating Battery Decay
    • 9.14.7. The Simulation Figures
• 10. Stratagem Surveys
  • 10.1. Stratagem Concepts
    • 10.1.1. Raw Hardware File Format
    • 10.1.2. Station Numbering and Natural Sort
    • 10.1.3. Component Format Inconsistencies
    • 10.1.4. WinGLink Export and EDI Loading
  • 10.2. Loading Hardware and EDI Data
    • 10.2.1. Raw Reader Diagnostics
    • 10.2.2. Component Selection
    • 10.2.3. EDIBatch Sequence Protocol
    • 10.2.4. Station-Number Matching
    • 10.2.5. Sites Interoperability
  • 10.3. Coordinate Injection
    • 10.3.1. Coordinate Column Detection
    • 10.3.2. Station-Count Reconciliation
    • 10.3.3. Running the Coordinate Injection
    • 10.3.4. Station Ordering
  • 10.4. Quality Control
    • 10.4.1. Per-Station QC Report
    • 10.4.2. QC Flag Thresholds
    • 10.4.3. Frequency Filtering Stages
    • 10.4.4. Underlying Station Matching
  • 10.5. Static Shift and Noise Removal
    • 10.5.1. AMA Spatial Filter
    • 10.5.2. Skew-Based Station Exclusion
    • 10.5.3. Validating Correction Factors
    • 10.5.4. Processing Order Dependency
    • 10.5.5. Noise Removal Stages
  • 10.6. Export and Renaming
    • 10.6.1. Writing EDI Files
    • 10.6.2. Standardised Renaming
    • 10.6.3. Sites.write() and Identity Persistence
  • 10.7. The StratagemSurvey Pipeline
    • 10.7.1. The fit() Step
    • 10.7.2. Chained Processing Steps
    • 10.7.3. Export and Rename
    • 10.7.4. Alternative EDI Sources
    • 10.7.5. Validating a Full Run
  • 10.8. Field-to-Inversion Case Study
    • 10.8.1. Starting Point
    • 10.8.2. Coordinates and Corrections
    • 10.8.3. Station Map
    • 10.8.4. Sounding Curve Comparison
    • 10.8.5. Pseudosection Comparison
    • 10.8.6. Inversion Readiness
    • 10.8.7. Final Export
• 11. EM Tools Guide
  • 11.1. First-Look Survey Inspection
    • 11.1.1. Why Inspect First
    • 11.1.2. Load The Survey
    • 11.1.3. The Inspection Workflow
    • 11.1.4. Per-Site Summary
    • 11.1.5. Choose Summary Columns
    • 11.1.6. Missing Sections
    • 11.1.7. Check Tipper Availability Explicitly
    • 11.1.8. Frequency Coverage Tables
    • 11.1.9. Plot Frequency Coverage
    • 11.1.10. Quick Rho And Phase Curves
    • 11.1.11. Pseudo-Sections
    • 11.1.12. Control The Pseudo-Section Scale
    • 11.1.13. Tipper Components
    • 11.1.14. Full Station Response
    • 11.1.15. Overlay A Model Response
    • 11.1.16. Build A First-Look Report Bundle
    • 11.1.17. Reading The Inspection Results
    • 11.1.18. Worked Example
  • 11.2. Quality-Control Confidence Scoring
    • 11.2.1. Why QC Is More Than Coverage
    • 11.2.2. Load A Survey
    • 11.2.3. The Confidence Ratio
    • 11.2.4. Compute A Confidence Ratio Directly
    • 11.2.5. Station QC Summary
    • 11.2.6. Station Flags
    • 11.2.7. Presence Confidence Versus Composite Confidence
    • 11.2.8. Customize Confidence Weights
    • 11.2.9. Frequency-Level Confidence
    • 11.2.10. Build A Mask From Confidence
    • 11.2.11. Survey-Scale Confidence Views
    • 11.2.12. Station Confidence Profile
    • 11.2.13. Frequency Confidence Pseudo-Section
    • 11.2.14. Single-Station Spectrum
    • 11.2.15. Single-Station Dashboard
    • 11.2.16. Period-Band Summary
    • 11.2.17. Coverage And SNR Quicklook
    • 11.2.18. Coverage Pseudo-Section And SNR Histogram
    • 11.2.19. Consistency Fan
    • 11.2.20. XY/YX Crossover Map
    • 11.2.21. Propagation To Inversion
    • 11.2.22. Reading QC Results
    • 11.2.23. Worked Example
  • 11.3. Frequency Editing, Resampling, And QC
    • 11.3.1. Why Frequency Editing Matters
    • 11.3.2. Data Contract
    • 11.3.3. Selecting A Band
    • 11.3.4. Removing Duplicate Frequencies
    • 11.3.5. Frequency Confidence
    • 11.3.6. Drop Or Mask Low-Confidence Rows
    • 11.3.7. Recover Low-Confidence Rows
    • 11.3.8. High-Level Editing Workflow
    • 11.3.9. Station-Level Report
    • 11.3.10. Decision Table
    • 11.3.11. Plot Edit Results
    • 11.3.12. Regrid To A Target Grid
    • 11.3.13. Build A Log-Spaced Grid
    • 11.3.14. Decimation And Moving Average Smoothing
    • 11.3.15. Align Station Grids
    • 11.3.16. Coverage And Quality Heatmap
    • 11.3.17. Apparent Depth Pseudo-Section
    • 11.3.18. Band Microstrips
    • 11.3.19. Recommended Processing Pattern
    • 11.3.20. Common Failure Modes
    • 11.3.21. Worked Example
  • 11.4. Noise Removal And Spatial Filtering
    • 11.4.1. Loading A Survey Safely
    • 11.4.2. SNR Diagnostics
    • 11.4.3. Remote Reference And EMI Reporting
    • 11.4.4. Power-Line Notching
    • 11.4.5. Log-Frequency Smoothing
    • 11.4.6. Rho/Phase Trend Smoothing
    • 11.4.7. Outlier And Spatial Denoising
    • 11.4.8. Off-Diagonal Consistency
    • 11.4.9. Masking And Manual Frequency Drops
    • 11.4.10. Group-Trend Shrinkage
    • 11.4.11. Static Shift And EMAP Filters
    • 11.4.12. EMAP Reports And Plots
    • 11.4.13. Confidence-Gated EMAP Filtering
    • 11.4.14. Full Pipeline
    • 11.4.15. QC Figures For Noise Removal
    • 11.4.16. Choosing A Treatment
    • 11.4.17. Reproducible Bundle
    • 11.4.18. Worked Example
  • 11.5. Static-Shift Correction
    • 11.5.1. Load The Survey
    • 11.5.2. Estimate AMA Factors
    • 11.5.3. Read Factor Signs Correctly
    • 11.5.4. Apply Factors
    • 11.5.5. Compare Estimators
    • 11.5.6. QC Plots In One Call
    • 11.5.7. Before/After Plots From Existing Sites
    • 11.5.8. Publication Comparison Figures
    • 11.5.9. Radar View
    • 11.5.10. A Different Line, A Different Shift
    • 11.5.11. When Static-Shift Numbers Are Not Real Static Shift
    • 11.5.12. Near-Surface Versus Static Shift
    • 11.5.13. Recommended Processing Pattern
    • 11.5.14. Common Pitfalls
    • 11.5.15. Worked Example
  • 11.6. Groom-Bailey Galvanic Distortion
    • 11.6.1. When To Use Groom-Bailey
    • 11.6.2. Core Assumptions
    • 11.6.3. Fit A Distortion Table
    • 11.6.4. Table Columns
    • 11.6.5. Reading The Parameters
    • 11.6.6. Rank Stations For Review
    • 11.6.7. Use A Strike Rotation
    • 11.6.8. Apply A Precomputed Table
    • 11.6.9. Estimate And Apply In One Step
    • 11.6.10. Compare Robust And Non-Robust Fits
    • 11.6.11. Synthetic Sanity Check
    • 11.6.12. Integrate With Pre-2D Assessment
    • 11.6.13. Reading The Results
    • 11.6.14. Common Failure Modes
    • 11.6.15. Saving A Reproducible Bundle
    • 11.6.16. Worked Example
  • 11.7. Phase Tensor And Impedance Tensor Tools
    • 11.7.1. Load Data
    • 11.7.2. Build The Phase-Tensor Table
    • 11.7.3. Filter By Period
    • 11.7.4. Read Dimensionality From Skew And Ellipticity
    • 11.7.5. Simple Phase-Tensor Views
    • 11.7.6. Phase-Tensor Ellipse Pseudosection
    • 11.7.7. A Full Tensor Is Not Optional
    • 11.7.8. Strike As A Director Field
    • 11.7.9. Rose And Stability Plots
    • 11.7.10. Skew-Ellipticity Density
    • 11.7.11. Summary Figure
    • 11.7.12. Geographic Phase-Tensor Map
    • 11.7.13. Real Tipper On A Real Map
    • 11.7.14. When Header Coordinates Are Noisy
    • 11.7.15. Per-Station Ellipse Strips
    • 11.7.16. Standalone Legend
    • 11.7.17. Impedance-Tensor Editing
    • 11.7.18. Fixed-Angle Rotation
    • 11.7.19. Station-Specific Rotation
    • 11.7.20. Tensor Rotation To Strike
    • 11.7.21. Antisymmetrize And Balance
    • 11.7.22. Sensor Orientation
    • 11.7.23. Sigma Clip Outliers
    • 11.7.24. Invert Tensor
    • 11.7.25. Audit Edits With Phase-Tensor Tables
    • 11.7.26. Recommended Interpretation Workflow
    • 11.7.27. Common Pitfalls
    • 11.7.28. Worked Example
  • 11.8. Geoelectric Strike
    • 11.8.1. Load Data
    • 11.8.2. Station-Level Estimators
    • 11.8.3. Compare Axial Angles Correctly
    • 11.8.4. Choose A Period Band
    • 11.8.5. Rotate Data Onto Strike
    • 11.8.6. Per-Frequency Strike Curve
    • 11.8.7. Ribbon Plot
    • 11.8.8. Rose Diagrams
    • 11.8.9. Frequency-Band Roses
    • 11.8.10. Profile And Map-Stick Views
    • 11.8.11. Combined Strike Analysis
    • 11.8.12. Recommended Workflow
    • 11.8.13. Common Pitfalls
    • 11.8.14. Worked Example
  • 11.9. Dimensionality Assessment
    • 11.9.1. Why Dimensionality Comes First
    • 11.9.2. Core Features
    • 11.9.3. Rule-Based Labels
    • 11.9.4. Build The Feature Table
    • 11.9.5. Inspect One Station
    • 11.9.6. Classify The Survey
    • 11.9.7. Read The Rule In Feature Space
    • 11.9.8. Threshold Sensitivity
    • 11.9.9. Plot The Dimensionality Grid
    • 11.9.10. Plot Period-Band Occupancy
    • 11.9.11. Map Dimensionality At One Period
    • 11.9.12. Pre-2D Inversion Assessment
    • 11.9.13. Masking 3-D Samples
    • 11.9.14. Projecting To A 2-D Tensor Form
    • 11.9.15. Sparse Dictionary Workflow
    • 11.9.16. Compare Rule Labels And Dictionary Labels
    • 11.9.17. Dictionary Masking And Atom Plots
    • 11.9.18. Reading The Results
    • 11.9.19. Common Failure Modes
    • 11.9.20. Saving A Reproducible Bundle
    • 11.9.21. Worked Example
  • 11.10. Skew Diagnostics
    • 11.10.1. Two Skew Measures
    • 11.10.2. Workflow Map
    • 11.10.3. Loading The Survey
    • 11.10.4. Phase-Tensor Skew Table
    • 11.10.5. Bahr Skewness
    • 11.10.6. Bahr Skew Plot
    • 11.10.7. Masking By Skew
    • 11.10.8. Counting Surviving Rows
    • 11.10.9. Longest Low-Skew Run
    • 11.10.10. Closing Small Gaps
    • 11.10.11. Survey-Wide Low-Skew Band
    • 11.10.12. Traffic-Light Pseudo-Section
    • 11.10.13. Percentile Ribbon
    • 11.10.14. Vote-Band Plot
    • 11.10.15. Suggested Interpretation Pattern
    • 11.10.16. Pitfalls
    • 11.10.17. Worked Example
  • 11.11. Anisotropy Diagnostics
    • 11.11.1. Why This Matters
    • 11.11.2. The Core Quantities
    • 11.11.3. Data Contract
    • 11.11.4. Workflow Overview
    • 11.11.5. Per-Frequency Detail
    • 11.11.6. Single-Station Inspection
    • 11.11.7. Per-Station Summary
    • 11.11.8. Pseudo-Section Plotting
    • 11.11.9. Comparing Neighboring Lines
    • 11.11.10. Ratio And Skew Are Complementary
    • 11.11.11. Reading The Results
    • 11.11.12. Common Failure Modes
    • 11.11.13. Saving A Reproducible Diagnostic Bundle
    • 11.11.14. Worked Example
  • 11.12. Impedance-Tensor Diagnostics
    • 11.12.1. What The Module Uses
    • 11.12.2. Load A Survey Once
    • 11.12.3. Choose The Right Diagnostic
    • 11.12.4. The Phasor Wheel
    • 11.12.5. Use Period Bands
    • 11.12.6. Include The Diagonal Terms
    • 11.12.7. Compute Component Magnitudes
    • 11.12.8. Off-Diagonal Antisymmetry
    • 11.12.9. Rank Stations By Residual
    • 11.12.10. Compare With Anisotropy Or Skew
    • 11.12.11. Determinant Track
    • 11.12.12. Compare Two Stations
    • 11.12.13. Measure Determinant Band Width
    • 11.12.14. Compare Neighbouring Lines
    • 11.12.15. Common Interpretation Checks
    • 11.12.16. Saving A Reproducible Bundle
    • 11.12.17. Worked Example
  • 11.13. Transfer Functions And Tipper Diagnostics
    • 11.13.1. Use A Dataset With Tipper
    • 11.13.2. What The Tipper Stores
    • 11.13.3. Choose Periods And Bands
    • 11.13.4. Single-Station Hodograms
    • 11.13.5. Single-Station Polar View
    • 11.13.6. Induction Map At One Period
    • 11.13.7. Compare Several Periods On One Axis
    • 11.13.8. Sign Conventions
    • 11.13.9. Period Pseudosection
    • 11.13.10. Induction Rose
    • 11.13.11. Multi-Period Map
    • 11.13.12. Spectra-Direct Workflows
    • 11.13.13. Recommended Workflow
    • 11.13.14. Common Pitfalls
    • 11.13.15. Worked Example
  • 11.14. AFMAG Tilt-Angle Diagnostics And Motion-Coupling Physics
    • 11.14.1. Use A Dataset With Tipper
    • 11.14.2. What The Tilt Angle Represents
    • 11.14.3. Tilt-Angle Profile
    • 11.14.4. Tilt-Angle Pseudosection
    • 11.14.5. Single-Station Tilt Polar View
    • 11.14.6. Motion-Induced Noise: The Rotation-Matrix Method
    • 11.14.7. Motion-Coupling Susceptibility
    • 11.14.8. Flagging A Motion-Susceptible Band
    • 11.14.9. Two Response Families, On Real Airborne Data
    • 11.14.10. Building A Comparator Response
    • 11.14.11. Building An AirMt Response
    • 11.14.12. Reading The Sample Surveys
    • 11.14.13. Tilt Tables From Real Data
    • 11.14.14. Dual-Frequency Crossover Profile
    • 11.14.15. AirMt Tilt Pseudosection
    • 11.14.16. Azimuth Across The Target
    • 11.14.17. Flight-Line Geometry
    • 11.14.18. Amplification Parameter Behavior
    • 11.14.19. Common Pitfalls
    • 11.14.20. Recommended Workflow
    • 11.14.21. References
  • 11.15. ZTEM Total-Divergence, Phase-Rotation, And Map-View Diagnostics
    • 11.15.1. Building A ZTEM Response
    • 11.15.2. Reading The Sample Surveys
    • 11.15.3. Raw In-Phase/Quadrature Crossover
    • 11.15.4. Total Divergence And Phase Rotation
    • 11.15.5. Total Divergence Pseudosection
    • 11.15.6. Flight-Line Map
    • 11.15.7. Map-View Grids
    • 11.15.8. Masking The Usable Band
    • 11.15.9. Recommended Workflow
    • 11.15.10. References
  • 11.16. MobileMT Admittance, Apparent Conductivity, And Skew Diagnostics
    • 11.16.1. Admittance Along The Flight Line
    • 11.16.2. Theoretical Apparent Conductivity Versus The Vendor-Delivered Product
    • 11.16.3. Skew: Departure From An Ideal Admittance Tensor
    • 11.16.4. Masking Outside The Usable Band
    • 11.16.5. Recommended Workflow
    • 11.16.6. References
  • 11.17. Cross-Spectra Analysis
    • 11.17.1. When To Use This Page
    • 11.17.2. Workflow Map
    • 11.17.3. Loading Spectra
    • 11.17.4. Coherence Matrix
    • 11.17.5. PSD Table
    • 11.17.6. Coherence Table
    • 11.17.7. Coherence-Derived SNR
    • 11.17.8. Band Selection
    • 11.17.9. Coherence Masks
    • 11.17.10. Spectra Summary
    • 11.17.11. PSD Plot
    • 11.17.12. Coherence Plot
    • 11.17.13. Full Spectral Matrix
    • 11.17.14. Recovering Impedance From Spectra
    • 11.17.15. Recovering Tipper From Spectra
    • 11.17.16. Multiple-Station Sections
    • 11.17.17. Practical QC Recipe
    • 11.17.18. Pitfalls
    • 11.17.19. Worked Example
  • 11.18. Source Effects And Near-Field Correction
    • 11.18.1. Why Offset Matters
    • 11.18.2. Workflow Map
    • 11.18.3. Loading A Survey
    • 11.18.4. Overprint Beta
    • 11.18.5. Per-Frequency Overprint Detection
    • 11.18.6. Station-Level Summary
    • 11.18.7. Overprint Pseudo-Section
    • 11.18.8. Normalized Response
    • 11.18.9. Normalized-Response Plot
    • 11.18.10. Near-Field Correction
    • 11.18.11. Comparing Before And After
    • 11.18.12. Combining The Two Diagnostics
    • 11.18.13. Choosing Offsets
    • 11.18.14. Suggested Review Sequence
    • 11.18.15. Pitfalls
    • 11.18.16. Worked Example
  • 11.19. Phased-Array Source Design
    • 11.19.1. Concepts And Angles
    • 11.19.2. Workflow Map
    • 11.19.3. Earth Wavenumber
    • 11.19.4. Single-Dipole Element Pattern
    • 11.19.5. Array Factor
    • 11.19.6. High-Frequency Check
    • 11.19.7. Beam Steering
    • 11.19.8. Combined PAS Pattern
    • 11.19.9. Directivity
    • 11.19.10. SNR Gain
    • 11.19.11. Plotting Patterns
    • 11.19.12. Design Checklist
    • 11.19.13. Applying The Checklist To A Real CSAMT Survey
    • 11.19.14. Common Pitfalls
    • 11.19.15. Worked Example
  • 11.20. CSAMT Field-Zone Classification
    • 11.20.1. The Field-Zone Parameter
    • 11.20.2. Zone Rules
    • 11.20.3. Offset Inputs
    • 11.20.4. Classify Field Zones
    • 11.20.5. Single-Station Curve
    • 11.20.6. Near-Field Factor
    • 11.20.7. Plot Field Zones
    • 11.20.8. Station-Specific Offsets
    • 11.20.9. Offset Sensitivity
    • 11.20.10. Comparing Offsets Side By Side
    • 11.20.11. Illustrative Near-Field Correction
    • 11.20.12. Reading The Results
    • 11.20.13. Common Failure Modes
    • 11.20.14. Saving A Reproducible Bundle
    • 11.20.15. Worked Example
  • 11.21. CSUMT Bostick Depth And Survey Design
    • 11.21.1. The Bostick Transform
    • 11.21.2. When To Use This Page
    • 11.21.3. Planning With No EDI Data
    • 11.21.4. Inverting Depth To Frequency
    • 11.21.5. Designing A Frequency Schedule
    • 11.21.6. Resolution Between Two Frequencies
    • 11.21.7. Measured Data Workflow
    • 11.21.8. Bostick Depth Table
    • 11.21.9. One Station Curve
    • 11.21.10. Measured Vertical Resolution
    • 11.21.11. Depth Coverage Table
    • 11.21.12. Depth Pseudo-Section
    • 11.21.13. Resolution Coarsening With Depth
    • 11.21.14. Comparing Neighboring Lines
    • 11.21.15. Reading The Results
    • 11.21.16. Common Failure Modes
    • 11.21.17. Saving A Reproducible Bundle
    • 11.21.18. Worked Example
  • 11.22. Gradient-Based Pseudo-Sections
    • 11.22.1. Why Use Gradients
    • 11.22.2. The Three Quantities
    • 11.22.3. Station Position And Spacing
    • 11.22.4. Spatial Gradient
    • 11.22.5. Frequency Gradient
    • 11.22.6. Joint Gradient
    • 11.22.7. Plot Gradient Sections
    • 11.22.8. Choosing The Impedance Component
    • 11.22.9. Single-Pair And Single-Station Curves
    • 11.22.10. Does The Joint Gradient Suppress Background?
    • 11.22.11. Compare Neighboring Lines
    • 11.22.12. Reading The Results
    • 11.22.13. Common Failure Modes
    • 11.22.14. Saving A Reproducible Bundle
    • 11.22.15. Worked Example
  • 11.23. L-Curve Regularization Selection
    • 11.23.1. What The L-Curve Means
    • 11.23.2. Inputs Expected By The Module
    • 11.23.3. A Minimal Synthetic Example
    • 11.23.4. Read The Table
    • 11.23.5. Use A Dictionary Result
    • 11.23.6. Sorting And Sweep Order
    • 11.23.7. Corner Methods
    • 11.23.8. Smoothing And Endpoint Skipping
    • 11.23.9. Plot A Single Curve
    • 11.23.10. Plot Multiple Curves
    • 11.23.11. Show Sweep Direction
    • 11.23.12. Use L-Curve With A Real Smoothing Sweep
    • 11.23.13. Inspect What Lambda Does
    • 11.23.14. Reading Real Inversion Logs
    • 11.23.15. Compare Corner Methods On Real Data
    • 11.23.16. Common Failure Modes
    • 11.23.17. Save A Reproducible L-Curve Bundle
    • 11.23.18. Worked Example
  • 11.24. Multi-Station Diagnostic Panels
    • 11.24.1. Where This Module Fits
    • 11.24.2. Load Once, Plot Many
    • 11.24.3. Quick Station Panels
    • 11.24.4. Choose Rho Or Impedance Magnitude
    • 11.24.5. Phase Range And X Axis
    • 11.24.6. Raw Full-Tensor Panels
    • 11.24.7. Force Component Colours
    • 11.24.8. Shared Labels Or Axis Labels
    • 11.24.9. Use Display Control
    • 11.24.10. Response Plus Tipper
    • 11.24.11. Compact Tipper Rows
    • 11.24.12. Before And After Comparison
    • 11.24.13. Compare Impedance Instead Of Rho
    • 11.24.14. Measured Versus Predicted Fit Grid
    • 11.24.15. Understand TE And TM Fit Colours
    • 11.24.16. Full-Response Station Overview
    • 11.24.17. A Full-Range Ellipse Colouring
    • 11.24.18. Choosing The Right Figure
    • 11.24.19. Common Pitfalls
    • 11.24.20. Save A Multi-Figure Plot Bundle
    • 11.24.21. Worked Example
  • 11.25. Advanced EM Tools
    • 11.25.1. When To Use This Module
    • 11.25.2. Implementation Pattern
    • 11.25.3. Functional Groups
    • 11.25.4. Single-Station Tensor Diagnostics
    • 11.25.5. Dimensionality And Distortion
    • 11.25.6. Pseudosections And Survey Summaries
    • 11.25.7. Strike Stability And Coherence
    • 11.25.8. Detailed Function Guide
    • 11.25.9. Worked Example
  • 11.26. Polar Uncertainty Diagnostics
    • 11.26.1. What The Diagnostics Measure
    • 11.26.2. Inputs You Must Provide
    • 11.26.3. Pure Coverage Score
    • 11.26.4. Building Example Bounds
    • 11.26.5. Per-Frequency Coverage
    • 11.26.6. Single-Station Inspection
    • 11.26.7. Per-Station Coverage Table
    • 11.26.8. Coverage Visualization
    • 11.26.9. Width Drift
    • 11.26.10. Point-Prediction Error
    • 11.26.11. Comparing Calibration Scenarios
    • 11.26.12. Reading The Results
    • 11.26.13. Common Failure Modes
    • 11.26.14. Saving A Reproducible Diagnostic Bundle
    • 11.26.15. Worked Example
• 12. Airborne EM Guide
  • 12.1. Airborne Data Model Overview
    • 12.1.1. Core Containers
    • 12.1.2. Technology Subpackages
    • 12.1.3. Where To Go Next
  • 12.2. Flight Lines and Datasets
    • 12.2.1. Navigation and Attitude
    • 12.2.2. Records and Lines
    • 12.2.3. Assembling A Dataset
  • 12.3. The Airborne Site View
    • 12.3.1. Reading Sample Surveys
    • 12.3.2. Four Response Families
    • 12.3.3. Selecting And Grouping
    • 12.3.4. One Container, Three Diagnostics
    • 12.3.5. Exporting And Round-Tripping
  • 12.4. Technologies, Formats, and Native I/O
    • 12.4.1. Built-In Technologies
    • 12.4.2. Identifying A Technology
    • 12.4.3. No Native Reader Yet
    • 12.4.4. Registering A Format
  • 12.5. Structural Quality Control
    • 12.5.1. A Compact Inventory
    • 12.5.2. A Clean Survey
    • 12.5.3. Five Real Findings
• 13. Site Tools
  • 13.1. Site Containers
    • 13.1.1. Where Containers Fit
    • 13.1.2. Creating One Site
    • 13.1.3. Station Identity
    • 13.1.4. Coordinates
    • 13.1.5. Array Accessors
    • 13.1.6. Quality And Component Checks
    • 13.1.7. DataFrame Export
    • 13.1.8. Creating A Collection
    • 13.1.9. Working With EMTF-XML
    • 13.1.10. Unwrapping Back To EDI
    • 13.1.11. Collection Lookup
    • 13.1.12. Mapping And Selection
    • 13.1.13. Bulk Edits
    • 13.1.14. Topography Alignment
    • 13.1.15. Closest Site
    • 13.1.16. Profiles
    • 13.1.17. Writing Sites
    • 13.1.18. Common Patterns
    • 13.1.19. Common Mistakes
    • 13.1.20. Next Pages
  • 13.2. Site Metadata
    • 13.2.1. Why Identity Synchronization Matters
    • 13.2.2. Real EDI Setup
    • 13.2.3. Renaming One or Many Stations
    • 13.2.4. Updating One Site Coherently
    • 13.2.5. Coordinates and Their Validation
    • 13.2.6. Metadata Sources
    • 13.2.7. Tabular Review Workflow
    • 13.2.8. Generic Field Actions
    • 13.2.9. Editing Other EDI Sections
    • 13.2.10. Transactions and Error Policies
    • 13.2.11. Validation Controls
    • 13.2.12. Audit Semantics
    • 13.2.13. In-Place Editing
    • 13.2.14. Export and Round-Trip Verification
    • 13.2.15. Renaming Does Not Order a Survey Line
    • 13.2.16. Choosing the Right Entry Point
    • 13.2.17. Common Mistakes
    • 13.2.18. Next Steps
  • 13.3. Location And Profiles
    • 13.3.1. Location Tool Map
    • 13.3.2. Profile Tool Map
    • 13.3.3. Coordinate Containers
    • 13.3.4. Parsing Coordinates
    • 13.3.5. Normalizing EDI Head Coordinates
    • 13.3.6. Applying Topography Tables
    • 13.3.7. Coordinate Projection
    • 13.3.8. Distance And Bearing
    • 13.3.9. Chainage Along A Line
    • 13.3.10. Inferring Line Orientation
    • 13.3.11. Ordering Sites Along A Survey Line
    • 13.3.12. Building Profiles
    • 13.3.13. Sorting And Slicing Profiles
    • 13.3.14. Resampling And Summary
    • 13.3.15. Gap Detection
    • 13.3.16. End-To-End Example
    • 13.3.17. Common Mistakes
    • 13.3.18. Next Pages
  • 13.4. Site Selection
    • 13.4.1. Selector Map
    • 13.4.2. Selection Contract
    • 13.4.3. Name Selection
    • 13.4.4. Index Selection
    • 13.4.5. Chainage Selection
    • 13.4.6. Frequency Coverage Selection
    • 13.4.7. Bounding Box Selection
    • 13.4.8. Custom Predicate Selection
    • 13.4.9. Finite Impedance Selection
    • 13.4.10. Phase Error Selection
    • 13.4.11. Empty Site Selection
    • 13.4.12. Functional Selectors Versus Sites.select
    • 13.4.13. Combining Selectors
    • 13.4.14. Selection Before Inversion
    • 13.4.15. Common Mistakes
    • 13.4.16. Next Pages
  • 13.5. Site Editing
    • 13.5.1. Editing Map
    • 13.5.2. Copy Versus In-Place Editing
    • 13.5.3. Tensor Rotation
    • 13.5.4. Frequency Subsetting
    • 13.5.5. Station Renaming
    • 13.5.6. Coordinate Editing
    • 13.5.7. Coordinate Tables
    • 13.5.8. Easting/Northing Conversion
    • 13.5.9. Missing Data Filling
    • 13.5.10. Recomputing Resistivity And Phase
    • 13.5.11. Practical Preparation Workflow
    • 13.5.12. Common Mistakes
    • 13.5.13. Next Pages
  • 13.6. EDI Recompute Workflow
    • 13.6.1. Tool Map
    • 13.6.2. Quick Start
    • 13.6.3. Whole Survey Folders
    • 13.6.4. Flattened Output
    • 13.6.5. Operation Order
    • 13.6.6. Rotation Control
    • 13.6.7. Frequency And Missing Values
    • 13.6.8. Filename Templates
    • 13.6.9. Result Object
    • 13.6.10. Manifest CSV
    • 13.6.11. In-Memory Recompute
    • 13.6.12. Command-Line Use
    • 13.6.13. Relationship To Editing And Export
  • 13.7. Computed Diagnostics
    • 13.7.1. Input Contract
    • 13.7.2. Return Types
    • 13.7.3. Diagnostic Map
    • 13.7.4. Strike Estimate
    • 13.7.5. Apparent Resistivity At One Frequency
    • 13.7.6. Phase Slope
    • 13.7.7. Tipper Magnitude
    • 13.7.8. Plotting The Diagnostics
    • 13.7.9. APIFrame Output
    • 13.7.10. Quality-Control Workflow
    • 13.7.11. Common Mistakes
    • 13.7.12. Next Pages
  • 13.8. Export And Reporting
    • 13.8.1. Tool Map
    • 13.8.2. Reproducible Demo Sites
    • 13.8.3. Export Workflow
    • 13.8.4. Writing One Site
    • 13.8.5. Batch Writing Sites
    • 13.8.6. Filename Templates
    • 13.8.7. Collision Policy
    • 13.8.8. Manifest CSV
    • 13.8.9. Zip Packaging
    • 13.8.10. Reporting Workflow
    • 13.8.11. Single-Site Reports
    • 13.8.12. Survey Reports
    • 13.8.13. API View Wrapping
    • 13.8.14. End-To-End Delivery Example
    • 13.8.15. Common Mistakes
    • 13.8.16. Next Pages
  • 13.9. Site Utilities
    • 13.9.1. Utility Map
    • 13.9.2. Input Detection
    • 13.9.3. Safe EDI Iteration
    • 13.9.4. Coercing To EDICollection
    • 13.9.5. Station Name Resolution
    • 13.9.6. Updating Station Names
    • 13.9.7. Metadata Changes Belong to the Metadata API
    • 13.9.8. Coordinate Access
    • 13.9.9. Writing Coordinates
    • 13.9.10. Copy And In-Place Semantics
    • 13.9.11. Frequency Access
    • 13.9.12. Frequency Matching
    • 13.9.13. Frequency Selection
    • 13.9.14. Name Matching
    • 13.9.15. Selecting By Name
    • 13.9.16. Angle Helpers
    • 13.9.17. Putting Utilities Together
    • 13.9.18. Common Mistakes
    • 13.9.19. Next Pages
• 14. Metadata
  • 14.1. Site and Survey Metadata
    • 14.1.1. Location and Identity Fields
    • 14.1.2. Two Independent Identity Resolvers
    • 14.1.3. Campaign-Level Aggregation
    • 14.1.4. Bounding-Box Geometry
    • 14.1.5. Serialization and EDI Round-Trip
    • 14.1.6. SiteMeta Inside an EMTF Document
    • 14.1.7. Choosing the Right Object
    • 14.1.8. Next Steps
  • 14.2. Provenance and Bibliography
    • 14.2.1. Two Real Provenance Records
    • 14.2.2. Missing Copyright Is Not Fabricated
    • 14.2.3. Building a Citation by Hand
    • 14.2.4. Enriching and Re-Writing a Document
    • 14.2.5. A Second, Unrelated Software/Copyright Model
    • 14.2.6. Choosing the Right Object
    • 14.2.7. Next Steps
  • 14.3. Channels and Orientation
    • 14.3.1. Reading a Real Site Layout
    • 14.3.2. Field Types and Manual Construction
    • 14.3.3. Two Real Layouts Compared
    • 14.3.4. Orientation Mode and Rotation History
    • 14.3.5. Choosing the Right Object
    • 14.3.6. Next Steps
  • 14.4. Instrument Metadata
    • 14.4.1. Sensor Coverage
    • 14.4.2. Built-In Presets
    • 14.4.3. EDI >HEAD Round-Trip
    • 14.4.4. Serialization
    • 14.4.5. Next Steps
  • 14.5. Processing and Quality
    • 14.5.1. Processing Metadata From a Real Station
    • 14.5.2. A Naive Read Would Mislead
    • 14.5.3. Sign Convention Normalization
    • 14.5.4. Coverage-Based Data Quality
    • 14.5.5. Archival Quality Versus Computed Quality
    • 14.5.6. Choosing the Right Object
    • 14.5.7. Next Steps
  • 14.6. Frequency Bands
    • 14.6.1. Built-In Bands
    • 14.6.2. Which Band Covers a Frequency
    • 14.6.3. Overlap and Clipping
    • 14.6.4. Extending the Registry
    • 14.6.5. Choosing the Right Function
    • 14.6.6. Next Steps
• 15. EMTF
  • 15.1. The EMTF Document
    • 15.1.1. Loading a Real Document
    • 15.1.2. Retrieving a Transfer Function by Name or Alias
    • 15.1.3. Building a Document From Scratch
    • 15.1.4. Convenience Accessors and Units
    • 15.1.5. A Real Sounding Curve
    • 15.1.6. Bridging to TFBundle
    • 15.1.7. Legacy Field Conflict Detection
    • 15.1.8. Choosing the Right Accessor
    • 15.1.9. Next Steps
  • 15.2. Transfer Functions and Estimates
    • 15.2.1. Matrix Shape and Validation
    • 15.2.2. Name Normalization and Units
    • 15.2.3. The Missing-Value Policy
    • 15.2.4. Statistical Estimates
    • 15.2.5. The Datatype Registry
    • 15.2.6. Registering a Custom Datatype
    • 15.2.7. Choosing the Right Object
    • 15.2.8. Next Steps
  • 15.3. EDI Interoperability
    • 15.3.1. What EDI Extraction Preserves
    • 15.3.2. Variance and the Legacy z_err Convention
    • 15.3.3. Converting Back to EDI
    • 15.3.4. When EDI Writing Refuses Outright
    • 15.3.5. Round-Trip Verification
    • 15.3.6. The TFBundle Bridge
    • 15.3.7. Choosing the Right Function
    • 15.3.8. Next Steps
  • 15.4. EDI SPECTRA Recovery
    • 15.4.1. A Real Remote-Reference File
    • 15.4.2. Recovering Transfer Functions and Full Covariance
    • 15.4.3. spectra_to_emtf and EMTF.from_edi’s Default Preference
    • 15.4.4. Why the Preferred Path Matters: a Real Sign Difference
    • 15.4.5. Choosing the Right Function
    • 15.4.6. Next Steps
  • 15.5. Reading and Writing EMTF XML
    • 15.5.1. Reading a Real Document Directly
    • 15.5.2. Strict Rejects, Permissive Recovers
    • 15.5.3. Missing Stays Missing on Round Trip
    • 15.5.4. Deterministic Element Order and Precision
    • 15.5.5. When Writing Refuses
    • 15.5.6. Full Round-Trip Verification
    • 15.5.7. Choosing the Right Function
    • 15.5.8. Next Steps
  • 15.6. Rotation and Covariance
    • 15.6.1. Rotation Matrices
    • 15.6.2. Orientation Must Be Unambiguous First
    • 15.6.3. Approximate Variance vs. Exact Covariance
    • 15.6.4. The True Determinant Is Rotation-Invariant
    • 15.6.5. Identity, Round Trip, and the Untouched Site Layout
    • 15.6.6. Legacy EDI Rotation and Rotating Back to Site Layout
    • 15.6.7. Choosing the Right Option
    • 15.6.8. Next Steps
• 16. Forward Modelling
  • 16.1. Overview
    • 16.1.1. Forward And Model Integrations
    • 16.1.2. Package Map
    • 16.1.3. Core Workflow
    • 16.1.4. Choosing A Path
    • 16.1.5. Relationship To Theory
  • 16.2. Forward Modelling Concepts
    • 16.2.1. The Forward Problem
    • 16.2.2. Physical Inputs
    • 16.2.3. Dimensionality
    • 16.2.4. 1-D Forward Models
    • 16.2.5. MT, CSAMT, And TEM Assumptions
    • 16.2.6. 2-D Forward Modelling
    • 16.2.7. Quasi-3-D Forward Modelling
    • 16.2.8. Frequency, Period, And Depth Sensitivity
    • 16.2.9. Response Quantities
    • 16.2.10. Synthetic Priors
    • 16.2.11. Noise And Realism
    • 16.2.12. Synthetic Recovery
    • 16.2.13. Common Failure Modes
    • 16.2.14. Good Practice Checklist
    • 16.2.15. Next Steps
  • 16.3. Forward Configuration
    • 16.3.1. Configuration Classes
    • 16.3.2. Template Files
    • 16.3.3. 1-D Configuration
    • 16.3.4. Geological Priors
    • 16.3.5. TEM Configuration
    • 16.3.6. 2-D Configuration
    • 16.3.7. 2-D Grid Tuning
    • 16.3.8. 3-D Configuration
    • 16.3.9. 3-D Configuration Notes
    • 16.3.10. Validation
    • 16.3.11. Summaries And Provenance
    • 16.3.12. What To Record
    • 16.3.13. Recommended Run Layout
    • 16.3.14. Common Mistakes
    • 16.3.15. Next Steps
  • 16.4. Solvers And Grids
    • 16.4.1. Solver Map
    • 16.4.2. 1-D Layered Models
    • 16.4.3. 1-D MT And CSAMT Solvers
    • 16.4.4. 1-D TDEM Solver
    • 16.4.5. 2-D Profile Grid Concepts
    • 16.4.6. 2-D Profile Grid Constructors
    • 16.4.7. 2-D MT Solver
    • 16.4.8. 3-D Volume Grid Concepts
    • 16.4.9. 3-D Volume Grid Constructors
    • 16.4.10. Quasi-3-D Solver
    • 16.4.11. Grid Design Rules
    • 16.4.12. Response Containers And Feature Arrays
    • 16.4.13. Debugging Solver Experiments
    • 16.4.14. Next Pages
  • 16.5. Maxwell Adapter Layer
    • 16.5.1. Legacy And Validated Engines
    • 16.5.2. Package Map
    • 16.5.3. Core Workflow
    • 16.5.4. Choosing A Path
    • 16.5.5. Relationship To Theory
  • 16.6. Maxwell Problem, Mesh, And Result Contracts
    • 16.6.1. Two Canonical Axis Orders
    • 16.6.2. Receivers And Immutability
    • 16.6.3. Problem Identity And Provenance
    • 16.6.4. Diagnostics And Result Validity
    • 16.6.5. Persistence Without Pickle
    • 16.6.6. The Triangular Mesh Contract
    • 16.6.7. Common Mistakes
    • 16.6.8. Next Pages
  • 16.7. Maxwell Solver Meshes
    • 16.7.1. Choosing A Mesh Builder
    • 16.7.2. Mesh Design Parameters
    • 16.7.3. A Padded 2-D Solver Mesh
    • 16.7.4. Skin Depth And Mesh Quality
    • 16.7.5. Near-Surface Resolution Convergence
    • 16.7.6. Receiver Placement And Terrain
    • 16.7.7. A 3-D Solver Mesh
    • 16.7.8. Persisting A Mesh Model
    • 16.7.9. Graded Triangular Meshes
    • 16.7.10. Common Mistakes
    • 16.7.11. Next Pages
  • 16.8. Maxwell Backend Registry
    • 16.8.1. Capability Assessment
    • 16.8.2. The Backend Protocol
    • 16.8.3. Registering Backends
    • 16.8.4. Private Registries
    • 16.8.5. Common Mistakes
    • 16.8.6. Next Pages
  • 16.9. Maxwell Adapters
    • 16.9.1. Choosing An Adapter
    • 16.9.2. In-Repository 2-D Solve
    • 16.9.3. Research-Only 3-D Solve
    • 16.9.4. Topography-Aware Triangular FEM
    • 16.9.5. External Solver Adapters
    • 16.9.6. Common Mistakes
    • 16.9.7. Next Pages
  • 16.10. Maxwell Analytic Benchmarks
    • 16.10.1. Acceptance Thresholds
    • 16.10.2. Building And Running A Case
    • 16.10.3. Reusing A Solved Result
    • 16.10.4. Case Identity And Provenance
    • 16.10.5. Validation Guardrails
    • 16.10.6. Common Mistakes
    • 16.10.7. Next Pages
  • 16.11. Maxwell Caching And Batch Solving
    • 16.11.1. Content-Addressed Caching
    • 16.11.2. Corruption And Quarantine
    • 16.11.3. Pruning A Cache
    • 16.11.4. Solving Many Problems At Once
    • 16.11.5. Retries And Terminal Failures
    • 16.11.6. Stopping Early
    • 16.11.7. Concurrency And Backend Identity
    • 16.11.8. Common Mistakes
    • 16.11.9. Next Pages
  • 16.12. Synthetic Datasets And Noise
    • 16.12.1. 1-D Dataset Generation
    • 16.12.2. ForwardDataset Contract
    • 16.12.3. Saving, Loading, And Splitting
    • 16.12.4. Configuration-Driven Generation
    • 16.12.5. TDEM Datasets
    • 16.12.6. Geological Priors
    • 16.12.7. Noise Models
    • 16.12.8. Clean And Noisy Dataset Pairs
    • 16.12.9. Pseudo-3-D Survey Datasets
    • 16.12.10. 2-D And Quasi-3-D Solver Datasets
    • 16.12.11. Dataset QA
    • 16.12.12. Recommended Archive Layout
    • 16.12.13. Common Mistakes
    • 16.12.14. Next Pages
  • 16.13. Forward Plotting
    • 16.13.1. Plot Selection Guide
    • 16.13.2. Saving Figures
    • 16.13.3. 1-D Response Plots
    • 16.13.4. 1-D Model Plots
    • 16.13.5. 1-D Composite View
    • 16.13.6. 2-D Grid Model Plots
    • 16.13.7. 2-D Pseudo-Sections
    • 16.13.8. 2-D Lateral Response Profiles
    • 16.13.9. 3-D Model Slice Plots
    • 16.13.10. 3-D Response Maps
    • 16.13.11. 3-D Response Sections
    • 16.13.12. 3-D Tensor Component Panels
    • 16.13.13. Plotting Noisy Responses
    • 16.13.14. Plotting Dataset Samples
    • 16.13.15. Plotting Checklist
    • 16.13.16. Common Mistakes
    • 16.13.17. Next Pages
  • 16.14. From Forward Modelling To Inversion
    • 16.14.1. The Handoff Contract
    • 16.14.2. Why Synthetic Recovery Comes First
    • 16.14.3. 1-D MT Recovery
    • 16.14.4. 1-D TDEM Recovery
    • 16.14.5. Stitched 2-D Profile Recovery
    • 16.14.6. True 2-D Forward Response Handoff
    • 16.14.7. Backend Choice After Forward Tests
    • 16.14.8. Error Model Handoff
    • 16.14.9. What To Compare
    • 16.14.10. Common Failure Modes
    • 16.14.11. Recommended Workflow
• 17. Pipeline System
  • 17.1. Pipeline System
    • 17.1.1. Minimal Example
    • 17.1.2. Documentation Map
    • 17.1.3. Recommended Reading Paths
    • 17.1.4. Core Concepts At A Glance
    • 17.1.5. Common Workflows
    • 17.1.6. Pipeline Design Rules
    • 17.1.7. Typical Project Layout
    • 17.1.8. Next Steps
  • 17.2. Pipeline Concepts
    • 17.2.1. Why Pipelines Exist
    • 17.2.2. Core Objects
    • 17.2.3. The Mental Model
    • 17.2.4. Step Registry
    • 17.2.5. Configured Steps
    • 17.2.6. Pipeline Structure
    • 17.2.7. Building A Pipeline
    • 17.2.8. Presets
    • 17.2.9. Mutable Until Run
    • 17.2.10. Run Lifecycle
    • 17.2.11. Output Resolution
    • 17.2.12. Output Directory Contract
    • 17.2.13. Error Handling
    • 17.2.14. Runtime Configuration
    • 17.2.15. PipelineResult
    • 17.2.16. StepResult
    • 17.2.17. CLI And Python Equivalence
    • 17.2.18. How Concepts Connect
    • 17.2.19. In Short
  • 17.3. Pipeline Configuration Files
    • 17.3.1. When To Use A Configuration File
    • 17.3.2. Basic Schema
    • 17.3.3. Minimal YAML Example
    • 17.3.4. Generate A Starter Config
    • 17.3.5. YAML, JSON, And Python Formats
    • 17.3.6. Step Codes And Labels
    • 17.3.7. Discover Valid Steps
    • 17.3.8. Preset Plus Extra Steps
    • 17.3.9. Full Explicit Config From A Preset
    • 17.3.10. Run A Config From The CLI
    • 17.3.11. Export An Existing Pipeline
    • 17.3.12. Validation And Failure Modes
    • 17.3.13. Recommended Project Layout
    • 17.3.14. Best Practices
    • 17.3.15. In Short
  • 17.4. Pipeline CLI
    • 17.4.1. Command Overview
    • 17.4.2. Start With Help
    • 17.4.3. Typical First Run
    • 17.4.4. Input Survey Resolution
    • 17.4.5. Pipeline Definition Priority
    • 17.4.6. List Presets
    • 17.4.7. List And Inspect Steps
    • 17.4.8. Generate Config Files
    • 17.4.9. Show A Pipeline Before Running
    • 17.4.10. Run Controls
    • 17.4.11. Error Policy
    • 17.4.12. Output Controls
    • 17.4.13. Output Summary Formats
    • 17.4.14. Verbose And Color Options
    • 17.4.15. Exit Status
    • 17.4.16. Troubleshooting
    • 17.4.17. Recommended Workflow
    • 17.4.18. Related Pages
  • 17.5. Pipeline Presets
    • 17.5.1. Preset Mental Model
    • 17.5.2. Run A Preset
    • 17.5.3. Built-In Preset Summary
    • 17.5.4. Choosing A Preset
    • 17.5.5. Preset Details
    • 17.5.6. Method-Aware Presets
    • 17.5.7. Export A Preset To A Config
    • 17.5.8. Customizing Presets Safely
    • 17.5.9. CLI Priority
    • 17.5.10. Compare Presets
    • 17.5.11. Stratagem Presets
    • 17.5.12. Troubleshooting
    • 17.5.13. Related Pages
  • 17.6. Pipeline Steps
    • 17.6.1. Step Contract
    • 17.6.2. How Steps Execute
    • 17.6.3. Discover Steps From The CLI
    • 17.6.4. Discover Steps From Python
    • 17.6.5. Registered Categories
    • 17.6.6. Recommended Ordering
    • 17.6.7. Frequency Steps
    • 17.6.8. Noise Removal Steps
    • 17.6.9. Static-Shift Steps
    • 17.6.10. Tensor Steps
    • 17.6.11. Dimensionality Steps
    • 17.6.12. Skew Steps
    • 17.6.13. Source-Effect Steps
    • 17.6.14. QC And Diagnostic Steps
    • 17.6.15. Export Steps
    • 17.6.16. Parameters And Defaults
    • 17.6.17. Step Labels
    • 17.6.18. Diagnostic Plots
    • 17.6.19. Error Handling
    • 17.6.20. Choosing Between Similar Steps
    • 17.6.21. Full Example Configuration
    • 17.6.22. Extension Policy
    • 17.6.23. Testing New Steps
    • 17.6.24. Troubleshooting
    • 17.6.25. Related Pages
  • 17.7. Extending The Pipeline
    • 17.7.1. Two Extension Paths
    • 17.7.2. Registering A Step
    • 17.7.3. Removing A Step
    • 17.7.4. Packaging A Plugin
    • 17.7.5. Explicit Discovery
    • 17.7.6. CLI Plugin Discovery
    • 17.7.7. Plugin Origin
    • 17.7.8. First-Party AI Steps
    • 17.7.9. Testing Plugin Steps
    • 17.7.10. Troubleshooting
    • 17.7.11. Related Pages
  • 17.8. Caching And Resume
    • 17.8.1. Enabling The Cache
    • 17.8.2. What Gets Cached
    • 17.8.3. Why Reruns Resume
    • 17.8.4. Real Captured Example
    • 17.8.5. What Is Not Safe To Cache
    • 17.8.6. Inspecting And Clearing The Cache
    • 17.8.7. Troubleshooting
    • 17.8.8. Related Pages
  • 17.9. Live Observability
    • 17.9.1. The on_step Hook
    • 17.9.2. Live Terminal Progress
    • 17.9.3. Inline Notebook Rendering
    • 17.9.4. Run History
    • 17.9.5. Troubleshooting
    • 17.9.6. Related Pages
  • 17.10. Pipeline Outputs
    • 17.10.1. Output Lifecycle
    • 17.10.2. Canonical Directory Tree
    • 17.10.3. Output Directory Resolution
    • 17.10.4. OutputDir And Defaults
    • 17.10.5. Captured Minimal Run
    • 17.10.6. Processed EDI Files
    • 17.10.7. QC Figures
    • 17.10.8. Reports
    • 17.10.9. Dashboard Report
    • 17.10.10. Pipeline Snapshot
    • 17.10.11. In-Memory Runs
    • 17.10.12. Intermediate EDI Snapshots
    • 17.10.13. PipelineResult And StepResult
    • 17.10.14. Output Control Matrix
    • 17.10.15. Recommended Output Layout
    • 17.10.16. Comparing Two Runs
    • 17.10.17. Stratagem Output Note
    • 17.10.18. Troubleshooting
    • 17.10.19. Related Pages
• 18. Tutorials
  • 18.1. Overview
    • 18.1.1. Jump To A Task
    • 18.1.2. Recommended Learning Path
    • 18.1.3. Before You Start
    • 18.1.4. Workflow Conventions
    • 18.1.5. Choosing Python or the CLI
    • 18.1.6. Related Sections
  • 18.2. Read an EDI Survey
    • 18.2.1. What You Will Learn
    • 18.2.2. Input Layouts
    • 18.2.3. Read a Survey Directory
    • 18.2.4. Read One EDI File
    • 18.2.5. Build a Station Inventory
    • 18.2.6. Inspect Stations Programmatically
    • 18.2.7. Handle Parser Errors
    • 18.2.8. Choose a Duplicate Policy
    • 18.2.9. Control Progress Output
    • 18.2.10. Read Several Sources
    • 18.2.11. Use the CLI for Quick Checks
    • 18.2.12. Move to QC
    • 18.2.13. Troubleshooting
    • 18.2.14. Next Steps
    • 18.2.15. See Also
  • 18.3. Inspect and QC a Survey
    • 18.3.1. What You Will Learn
    • 18.3.2. Input Assumptions
    • 18.3.3. Load the Survey
    • 18.3.4. Create an Output Folder
    • 18.3.5. Build the Station QC Table
    • 18.3.6. Sort Stations by Review Priority
    • 18.3.7. Create Simple QC Flags
    • 18.3.8. Compute Station Confidence
    • 18.3.9. Review Low-Confidence Stations
    • 18.3.10. Inspect Frequency-Level Confidence
    • 18.3.11. Create a Confidence Profile Plot
    • 18.3.12. Select Stations for the Next Step
    • 18.3.13. CLI Quick Checks
    • 18.3.14. What to Do With Poor Stations
    • 18.3.15. Troubleshooting
    • 18.3.16. See Also
  • 18.4. Compare Survey Lines for QC
    • 18.4.1. What You Will Learn
    • 18.4.2. Input Assumptions
    • 18.4.3. Load Both Lines
    • 18.4.4. Build Comparable Inventory Tables
    • 18.4.5. Compare Frequency Coverage
    • 18.4.6. Compare QC and Confidence Metrics
    • 18.4.7. Make the Processing Decision
    • 18.4.8. Recommended Next Step
    • 18.4.9. Adapting This Tutorial
    • 18.4.10. See Also
  • 18.5. Correct Static Shift
    • 18.5.1. What You Will Learn
    • 18.5.2. Prerequisites
    • 18.5.3. When Static Shift Is a Good Candidate
    • 18.5.4. Three Real Surveys, Three Different Pictures
    • 18.5.5. Create a Review Folder
    • 18.5.6. Estimate AMA Correction Factors
    • 18.5.7. Choose the Spatial Order
    • 18.5.8. Use a Period Band
    • 18.5.9. Inspect Large Corrections
    • 18.5.10. Apply Factors Manually
    • 18.5.11. Apply AMA in One Step
    • 18.5.12. Compare Before and After
    • 18.5.13. Read the Static-Shift Radar
    • 18.5.14. Use One-Call QC Wrappers
    • 18.5.15. Try Alternative Estimators
    • 18.5.16. A Long-Period MT Line Where Large Factors Are Not Enough (KAP03)
    • 18.5.17. A CSAMT Line Where Factors And Classification Disagree (Tongkeng)
    • 18.5.18. Export Corrected EDI Files
    • 18.5.19. Run Through a Pipeline
    • 18.5.20. Checklist Before Inversion
    • 18.5.21. Troubleshooting
    • 18.5.22. See Also
  • 18.6. Condition an MT Line With Tipper and Rotation
    • 18.6.1. Recommended Order
    • 18.6.2. Load the KP Line
    • 18.6.3. Recover Coordinates and Add Sourced Topography
    • 18.6.4. Plot Raw Tensor Curves
    • 18.6.5. Plot Tipper Components
    • 18.6.6. Build QC Tables
    • 18.6.7. Drop Weak Rows and Filter Conservatively
    • 18.6.8. Check Dimensionality and Induction Vectors
    • 18.6.9. Test, Then Reject, Automatic Static Shift
    • 18.6.10. Estimate Strike and Plot Phase Tensors
    • 18.6.11. Rotate Impedance and Tipper
    • 18.6.12. Export and Prove the EDI Round Trip
    • 18.6.13. Prepare the Classical 3-D ModEM Inversion
    • 18.6.14. Compile and Run ModEM
    • 18.6.15. Build an Optional Triangular Profile Mesh
    • 18.6.16. Configure the MT3D AI Inversion
    • 18.6.17. Processing Decision Table
    • 18.6.18. Adapting This Tutorial
    • 18.6.19. See Also
  • 18.7. Process Zonge AVG Lines K1 and K2
    • 18.7.1. Read the field files before converting them
    • 18.7.2. Attach and reconcile station geometry
    • 18.7.3. Preview coordinate-bearing EDI serialization
    • 18.7.4. Choose processing from evidence
    • 18.7.5. Prepare the classical Occam2D baseline
    • 18.7.6. Compile and run on the user’s machine
    • 18.7.7. Train an AI counterpart, not a replacement baseline
  • 18.8. Process A TEMAVG Survey: TEM To Corrected EDI
    • 18.8.1. Read the survey folder
    • 18.8.2. Pick one profile and inspect its geometry
    • 18.8.3. Quality-control the raw time-domain decay before transforming
    • 18.8.4. Determine a geographic anchor for the local site grid
    • 18.8.5. Transform to frequency domain and write EDI
    • 18.8.6. Correct the EDI collection
    • 18.8.7. Compare raw and corrected responses at three stations
    • 18.8.8. What this profile cannot support
    • 18.8.9. Write the corrected collection and a coordinate manifest
    • 18.8.10. Build and view the 2-D triangular mesh
    • 18.8.11. Train And Gate A Maxwell AI Inversion
    • 18.8.12. Gate The Result Before Interpretation
    • 18.8.13. A Real Station-Label Bug, Found By Running This At 51 Stations
  • 18.9. Stratagem Field Data To Occam2D Inversion
    • 18.9.1. What You Will Learn
    • 18.9.2. Starting Point
    • 18.9.3. Loading Raw Stratagem Data
    • 18.9.4. Injecting Real Coordinates
    • 18.9.5. Cross-Validating Against An Independent Tool
    • 18.9.6. Static Shift, Frequency Filtering, And Noise Removal
    • 18.9.7. Station Map And Pseudosections
    • 18.9.8. Quality Control And Export
    • 18.9.9. Preparing And Running An Occam2D Inversion
    • 18.9.10. Interpreting The Inversion
    • 18.9.11. Reusing This With Your Own Data
    • 18.9.12. See Also
  • 18.10. Prepare an Occam2D Inversion
    • 18.10.1. What You Will Learn
    • 18.10.2. When To Use Occam2D
    • 18.10.3. Prepare the Survey
    • 18.10.4. Apply Optional Static-Shift Correction
    • 18.10.5. Choose an Occam Configuration
    • 18.10.6. Build Native Occam2D Files
    • 18.10.7. Inspect the Built Objects
    • 18.10.8. Validate File Types
    • 18.10.9. Build a TM-Only First Trial
    • 18.10.10. Run Occam2D
    • 18.10.11. Load Finished Results
    • 18.10.12. Plot Model and Misfit
    • 18.10.13. Backend-Neutral Preparation
    • 18.10.14. CLI Equivalent
    • 18.10.15. Preparation Checklist
    • 18.10.16. Troubleshooting
    • 18.10.17. See Also
  • 18.11. Prepare A ModEM Inversion
    • 18.11.1. What You Will Learn
    • 18.11.2. When A 3-D ModEM Run Is The Right Preparation
    • 18.11.3. Load The Area Survey
    • 18.11.4. Choose A ModEM 3-D Configuration
    • 18.11.5. Build The Native Input Set
    • 18.11.6. Inspect The Horizontal Grid
    • 18.11.7. Inspect The Vertical Grid And Skin Depth
    • 18.11.8. Covariance And Control
    • 18.11.9. Validate The Native Files
    • 18.11.10. Hand Off To ModEM
    • 18.11.11. CLI Equivalent
    • 18.11.12. Preparation Checklist
    • 18.11.13. Troubleshooting
    • 18.11.14. See Also
  • 18.12. Prepare A MARE2DEM Inversion
    • 18.12.1. What You Will Learn
    • 18.12.2. When To Prepare A MARE2DEM Run
    • 18.12.3. Load And QC The Profile
    • 18.12.4. Convert To Native MARE2DEM Data
    • 18.12.5. Reason About The Starting Grid
    • 18.12.6. Build The Mesh And Starting Model
    • 18.12.7. Inspect The Triangulation Boundary
    • 18.12.8. Validate The Native Files
    • 18.12.9. Hand Off To MARE2DEM
    • 18.12.10. No CLI Support Yet
    • 18.12.11. Preparation Checklist
    • 18.12.12. Troubleshooting
    • 18.12.13. See Also
  • 18.13. Run Classical Inversions: Occam2D, ModEM, and MARE2DEM
    • 18.13.1. What You Will Learn
    • 18.13.2. Where Each Backend Stands
    • 18.13.3. Recap: Prepared Native Inputs
    • 18.13.4. Locate Or Build The Binary
    • 18.13.5. Build The Command, Then Run
    • 18.13.6. Running Externally Or On A Cluster
    • 18.13.7. CLI Equivalent
    • 18.13.8. Load And Compare Finished Runs
    • 18.13.9. Pre-Run Checklist
    • 18.13.10. Common Mistakes
    • 18.13.11. See Also
  • 18.14. AI Inversion From Corrected EDIs
    • 18.14.1. What You Will Learn
    • 18.14.2. Reproducibility before the private case study
    • 18.14.3. Load and Audit the Survey
    • 18.14.4. Ground a Geological Prior in the Survey
    • 18.14.5. Build the Training Mesh and 2-D Maxwell Dataset
    • 18.14.6. Run 2-D AI Inversion
    • 18.14.7. Run 3-D AI Inversion
    • 18.14.8. Run the Experimental Candidate Outside the Tutorial
    • 18.14.9. Catch a Confidently Wrong Prediction
    • 18.14.10. Recommended Decision
    • 18.14.11. See Also
  • 18.15. Building a Defensible 3-D AI Inversion Problem
    • 18.15.1. Start with the survey geometry
    • 18.15.2. Define the 3-D geological hypothesis
    • 18.15.3. Build the terrain-aware Maxwell mesh
    • 18.15.4. Apply the backend gate before inversion
    • 18.15.5. What a complete external run must demonstrate
    • 18.15.6. Reproduce the tutorial assets
  • 18.16. Map Porphyry Mineralization From Noisy AMT
    • 18.16.1. Starting From Non-EDI Data
    • 18.16.2. What You Will Learn
    • 18.16.3. Recommended Order
    • 18.16.4. Load Both Lines
    • 18.16.5. Baseline Quality Check
    • 18.16.6. Remove Powerline Harmonics
    • 18.16.7. Dimensionality Dictionary
    • 18.16.8. Remove Galvanic Distortion
    • 18.16.9. Correct Static Shift
    • 18.16.10. EMAP Spatial Filter
    • 18.16.11. Drop Weak Frequencies
    • 18.16.12. Skew And Dimensionality
    • 18.16.13. Estimate Strike
    • 18.16.14. Rotate To Strike
    • 18.16.15. Prepare Occam2D Inputs
    • 18.16.16. Prepare ModEM 3-D Inputs
    • 18.16.17. Maxwell-Trained 2-D AI Inversion of Both Lines
    • 18.16.18. Maxwell-Trained 3-D AI Inversion of Both Lines
    • 18.16.19. Correction Parameter Report
    • 18.16.20. Adapting This Tutorial
    • 18.16.21. See Also
  • 18.17. Forward Model One Real Line In 1-D, 2-D, And 3-D
    • 18.17.1. What You Will Learn
    • 18.17.2. When To Do This
    • 18.17.3. Load The Line And Establish A Trustworthy Band
    • 18.17.4. A Real 1-D Sounding
    • 18.17.5. Choose Frequencies The Triangular Solver Can Trust
    • 18.17.6. A Real 2-D Triangular Mesh
    • 18.17.7. A 3-D Volume Mesh, Real Profile Embedded
    • 18.17.8. What Each Dimension Added
    • 18.17.9. Troubleshooting
    • 18.17.10. See Also
  • 18.18. Map Groundwater Geology From CSAMT
    • 18.18.1. What You Will Learn
    • 18.18.2. Recommended Order
    • 18.18.3. Load The Line
    • 18.18.4. Baseline Quality Check
    • 18.18.5. Classify Field Zones
    • 18.18.6. Apply Near-Field Correction
    • 18.18.7. Check Source Overprint
    • 18.18.8. Rule Out Phase-Tensor And Distortion Diagnostics
    • 18.18.9. Static Shift And Near-Surface Effects
    • 18.18.10. EMAP Spatial Filter
    • 18.18.11. Drop Weak Frequencies And Export Corrected EDIs
    • 18.18.12. Select The Trustworthy Band For Training
    • 18.18.13. Build The Geology Grid And Triangular Mesh
    • 18.18.14. Maxwell-Trained Triangular AI Inversion
    • 18.18.15. Gate The Result Before Interpretation
    • 18.18.16. Adapting This Tutorial
    • 18.18.17. See Also
  • 18.19. Build A Two-Line Occam2D Survey For Interpretation
    • 18.19.1. A true earth model, independent of the inversion mesh
    • 18.19.2. Forward-model real physics
    • 18.19.3. Package sites for Occam2D
    • 18.19.4. Build native Occam2D input files
    • 18.19.5. Run the real compiled solver
    • 18.19.6. A real coordinate-alignment bug, found while bridging into interp
    • 18.19.7. Drape synthetic topography for display
    • 18.19.8. What carries forward to Part 2
  • 18.20. Interpret A Two-Line Occam2D Survey With interp And geology
    • 18.20.1. A project-specific rock table
    • 18.20.2. Boreholes, sampled honestly from the true model
    • 18.20.3. See every borehole at a glance
    • 18.20.4. Calibrate against the two boreholes
    • 18.20.5. See where calibration actually changed the model
    • 18.20.6. Classify into lithology and draw the fence diagram
    • 18.20.7. Record the fault as structural evidence
    • 18.20.8. Validate against the held-out boreholes
    • 18.20.9. What this adds up to
    • 18.20.10. See Also
  • 18.21. Run a Pipeline From Config
    • 18.21.1. What You Will Learn
    • 18.21.2. Why Use a Config File?
    • 18.21.3. Input Assumptions
    • 18.21.4. Create a Minimal YAML Config
    • 18.21.5. Load and Inspect the Pipeline
    • 18.21.6. Read the Survey
    • 18.21.7. Run the Pipeline
    • 18.21.8. Inspect the Result
    • 18.21.9. Understand the Output Folder
    • 18.21.10. Generate a Starter Config
    • 18.21.11. Seed a Config From a Preset
    • 18.21.12. Discover Steps and Presets
    • 18.21.13. Run From the CLI
    • 18.21.14. Debug Before Running
    • 18.21.15. Error Policy
    • 18.21.16. Choose a Method-Aware Preset
    • 18.21.17. Beyond the Basics
    • 18.21.18. Common Workflow Pattern
    • 18.21.19. Troubleshooting
    • 18.21.20. Next Steps
    • 18.21.21. See Also