Jupyter Visualization: Native AMReX Plotting via `yt`

[jameslehoux]

Labels: documentation, visualization, phase:0-polish
Priority: High (Quick Win)

Description

OpenImpala solves on multi-billion voxel domains, which makes loading the entire output into local RAM for visualization impossible for most users. Because OpenImpala uses the AMReX backend, our output plotfiles are natively supported by the yt project, a Python package built explicitly for out-of-core astrophysical AMR data.

We need to document how users can use yt directly in their Jupyter notebooks to explore massive OpenImpala datasets without triggering Out-Of-Memory (OOM) errors.

Acceptance Criteria

• Add a new tutorial: notebooks/visualization_yt.ipynb.
• Demonstrate how to load an OpenImpala AMReX plotfile using yt.load().
• Show how to generate a 2D yt.SlicePlot of the computed tortuosity flux field.
• Show how to generate a 1D yt.ProfilePlot (e.g., average flux along the Z-axis).
• Add yt to the [project.optional-dependencies.docs] section of pyproject.toml so it builds correctly in Sphinx.