add covariance interpolation mathspec

[ChristopherRabotin]

No description provided.

[gemini-code-assist]

Summary of Changes

Hello @ChristopherRabotin, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request significantly enhances ANISE's capabilities in handling and documenting covariance data. It introduces a robust mathematical specification for Log-Euclidean Riemannian interpolation of covariance matrices, ensuring physically sound uncertainty propagation. Complementing this, a new tutorial provides practical guidance on utilizing these features with Orbit Ephemeris Message (OEM) files, covering data loading, interpolation, and frame transformations. The changes also include the release notes for ANISE 0.9.0, summarizing these and other key advancements in the framework.

Highlights

• Detailed Covariance Interpolation MathSpec: A new document docs/anise/reference/mathspec/interpolation/covariance.md has been added, explaining the Log-Euclidean Riemannian Interpolation method for covariance matrices. This method is highlighted for its ability to maintain positive definiteness and preserve volume during interpolation, which is crucial for accurate uncertainty propagation.
• New OEM and Covariance Tutorial: A comprehensive Jupyter Notebook tutorial (docs/anise/tutorials/Tutorial 08 - OEM and Covariance.ipynb) has been introduced. It guides users through loading CCSDS OEM files, interpolating state and covariance data, and transforming covariance into various local frames (e.g., RIC, Inertial), demonstrating practical application.
• ANISE 0.9.0 Release Notes: A new blog post (docs/blog/posts/2026.01.14-anise-0.9.0.md) outlines the features of the ANISE 0.9.0 release, prominently featuring the new covariance interpolation, support for CCSDS OEM and STK .e files, instrument modeling, and kernel management enhancements.
• Documentation Readability Improvements: Minor formatting adjustments, primarily adding blank lines, have been applied across several existing documentation files to enhance their readability and visual structure.

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Visit the preview URL for this PR (updated for commit c92e119):

https://nyx-space--pr39-doc-covariance-inter-ydysr3iw.web.app

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[gemini-code-assist]

Code Review

This pull request adds extensive documentation for covariance interpolation, including a new math specification page, a Jupyter notebook tutorial, and a blog post announcing the feature. The changes are well-structured and provide a good overview of the new capabilities. I've found a few minor issues in the documentation and one in the CSS, which I've detailed in the comments. Overall, this is a great addition to the project's documentation.