Case Studies (Goal-Oriented Workflows)๏
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Page role: Guide index
A collection of goal-oriented demonstrations that combine multiple GWexpy features into practical workflows. To learn feature-oriented examples first, refer to Tutorials (Feature-Oriented Learning).
Audience: Users who already know the basics and want end-to-end examples mapped to real analysis tasks. Prerequisites: Familiarity with the relevant core classes, especially from Tutorials (Feature-Oriented Learning) and Getting Started. Use this page for: Finding the canonical public gallery of GWexpy goal-oriented case studies by workflow theme. Search hints: case studies, gallery, end-to-end workflow, calibration, interoperability, noise hunting, ML
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Case Studies are goal-oriented workflow demonstrations, while Tutorials are feature-oriented class/capability examples. This page is the canonical public index for all case_* notebooks.
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On this page: Section I focuses on calibration and control, II on interoperability and reproducibility, III on statistical and ML workflows, and IV on noise hunting and detector diagnostics.
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Example framing: Goal: pick a workflow family that matches your task. Inputs: familiarity with the relevant GWexpy objects and the notebook environment. Outputs: a case-study notebook path you can read or run locally.
Featured Gallery๏
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These featured cards reuse the same three teaser thumbnails shown on the homepage. This page remains the canonical gallery: the homepage is a short visual preview, while the full categorized list below is the source of truth.
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Minimal visual index:
Noise Budget thumbnail -> start in IV. Noise Hunting and Detector Diagnostics
Transfer Function Estimation thumbnail -> start in I. Calibration, Response, and Control
Active Damping thumbnail -> start in I. Calibration, Response, and Control
Identify dominant couplings and compare mitigation directions in a detector-noise workflow.
Estimate coherence, fit responses, and connect measured transfer paths back to the API.
Follow a multi-input multi-output control workflow for a 6-DOF isolation system.
I. Calibration, Response, and Control๏
II. Interoperability, I/O, and Reproducibility๏
III. Statistical and ML Workflows๏
IV. Noise Hunting and Detector Diagnostics๏
Coupling Analysis: estimating transfer paths between channels
Bruco and ICA Noise Reduction: witness selection to subtraction
Violin Mode Analysis: fitting and tracking resonance families
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For full API details (arguments, return values, class listings), see Reference.
See also
Next to read:
Tutorials (Feature-Oriented Learning) to build class- and feature-level foundations first
Reference to look up API details behind a case-study workflow
File I/O Supported Formats Guide if your next question is about supported formats and read/write paths