Tutorials

End-to-end worked examples showing ForMoSA v2.0 in action. Each notebook is self-contained: it checks for required files and downloads them automatically if they are missing.

Note

All notebooks use the dataclass API (v2.0) as the primary approach. An INI-file alternative is shown at the end of each notebook for reference.

Tutorial 1 — Photometry: VHS 1256 b

Multi-instrument broadband photometry fitted with ExoREM using Nestle. Covers SVO filter retrieval, physical and analytical scaling.

• Tutorial 1 — Photometry: VHS 1256 b

Tutorial 2 — Spectroscopy: AB Pic b

VLT/SINFONI K-band medium-resolution spectrum fitted with BT-Settl using PyMultiNest. Covers resolution adaptation, wavelength windowing, and radial velocity.

• Tutorial 2 — Spectroscopy: AB Pic b

Tutorial 3 — Advanced plotting

Customising every ForMoSA plot, computing χ²_red and BIC, and saving publication-quality figures. Runs without fitting anything — uses pre-computed results from Tutorial 2.

• Tutorial 3 — Advanced Plotting: Custom Figures

Tutorial 4 — Statistical tests

Model comparison and goodness-of-fit statistics: χ²_red, BIC, and Bayes factors. Uses pre-computed results and requires no new fits.

• Tutorial 4 — Statistical Tests and Model Selection

Tutorial 5 — Cluster / MPI deployment

Running ForMoSA on an HPC cluster with PyMultiNest and MPI. Covers nohup pattern.

• Tutorial 5 — Cluster / MPI Deployment