Tutorials

Executed notebooks, rendered to HTML (outputs and figures included) on every docs build; the GitHub column opens the .ipynb itself.

Notebook	What it covers
NTSA with ntsa + dynamodels	Long clean trajectories, signal statistics, Takens delay embedding, first-return map and recurrence plot, Lyapunov exponents (leading, Benettin QR spectrum, Kaplan–Yorke and torus dimensions), classical MDS portraits, regime classification, the one-call characterize(), and a Lorenz-96 bifurcation sweep.	GitHub
Data-driven NTSA of an annular combustor	The equation-free pipeline (ntsa.data.DataSeries) on measured acoustic pressure from a turbulent annular combustor (Zenodo 15609832): loading and conditioning the records, embedding diagnostics, Rosenstein \(\lambda_1\), regime classification across four equivalence ratios, a band-passed vs raw comparison (overlaid PSDs, attractors, recurrence plots — and why the two branches classify differently), and an experimental bifurcation diagram.	GitHub

To regenerate the HTML locally: python -m nbconvert --to html tutorial_*.ipynb --output-dir docs/tutorials.