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 Experimental phase space coverage, covariance-aware clustering, and pipeline improvements (#168)

* Phase space test orbit generation — New phase_space package with HEALPix-based test orbit generation, recursive phase space splitting, coverage analysis across 6D orbital element bounds, and nearest-test-orbit proximity matching.

* Covariance propagation — Propagate observation and test orbit uncertainties through the gnomonic tangent plane, enabling Mahalanobis-distance-based observation filtering (TestOrbitMahalanobisObservationFilter) and covariance-derived adaptive clustering parameters.

* Cluster fitting — Replace simple clustering output with FittedClusters carrying polynomial motion models (position, velocity, acceleration, chi2). Adds fit_clusters(), per-observation residuals, and min_nights filtering.

* Pipeline changes — Add generate_ephemeris as an explicit pipeline stage (reusing ephemeris from filtering). Add stop_after_stage for early termination, yield_paths mode for reduced memory usage, and experimental link_test_orbits with recursive splitting.

* Analysis and plotting — New analysis.py (difi v2.0-powered linkage purity/completeness/findability metrics) and plotting.py (Plotly-based interactive visualization of observations and gnomonic-plane detections).

* Dependencies and cleanup — Upgrade to adam-core>=0.5.4, adam-assist>=0.3.6, rebound 4.6.0. Add plotly, healpy, difi. Remove pydantic (config uses dataclasses). Drop Python 3.10.

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Co-authored-by: Alec Koumjian <akoumjian@gmail.com>
Co-authored-by: Kathleen Kiker <kathleen@b612foundation.org>
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>

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