GWexpy Documentation
GWexpy extends GWpy with additional containers and analysis utilities for time and frequency series data analysis.
Key Features:
Matrix containers: Efficient multi-channel TimeSeries/FrequencySeries processing
Field API: 4D spacetime fields (ScalarField, VectorField, TensorField) with time↔frequency and real↔k-space FFT
Enhanced signal processing: Advanced fitting, HHT, ARIMA, correlation methods
Numerical stability: Validated algorithms with comprehensive testing
ML/DL integration: PyTorch, TensorFlow, and scikit-learn interoperability
Quick Start
Start with Installation to set up your environment, then proceed to Quick Start to learn the basics.
Choose Your Guide
Learn from the basics
Installation Guide
Quick Start
Basic Tutorials
Learn from case studies
Basic usage examples
Advanced signal processing
Real-world case studies
Migration & Upgrades
Differences from GWpy
New Feature Highlights
Compatibility Information
Visual Examples
Time series visualization example with GWexpy
Example Gallery
Representative case studies:
Multi-channel correlation and noise source identification
Bode plot and model fitting
6-DOF MIMO control simulation
Learning Path by User Level
User Level |
Start Here |
Next Steps |
|---|---|---|
Beginners |
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Researchers |
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GWpy Users |
Main Documentation
Tutorials
Case Studies
Advanced Guides
Reference
Next Steps
To continue learning:
Getting Started - Detailed learning path
Tutorials - All tutorials
Case Studies - Real-world case studies
API Reference - Class and function details
Advanced Topics:
ScalarField Slicing - Multi-dimensional data manipulation
Numerical Stability & Accuracy - Computational reliability
Validated Algorithms - Algorithm verification reports