Explanation#
Understanding-oriented discussion of the ideas, design choices, and trade-offs behind GWexpy. These pages are for reading, not for following step by step.
Design and concepts#
Architecture & data flow
How the container, analysis, and interoperability layers fit together.
Prerequisites & conventions
The assumptions, naming, and conventions GWexpy relies on.
GWexpy for GWpy Users
How GWexpy relates to, and differs from, GWpy.
GWpy compatibility policy
The project-wide contract for default numerical and sample-selection behavior.
Ecosystem positioning
Where GWexpy sits among GWpy, spicypy, GWDama, and the wider GW Python stack.
Roadmap
Where the project is heading.
Theory and quality#
Physics models & theory
The mathematical foundations behind the analysis algorithms.
Numerical stability
Where precision matters and how GWexpy protects it.
Validated algorithms
Validation assumptions and the evidence behind key algorithms.
Verification & quality
How GWexpy is tested and kept correct.