OPERA-GC v1.1.0: An operator-aware and selection-preserving framework for heterogeneous globular-cluster proper-motion kinematics

OPERA-GC is a reproducible Python framework that represents heterogeneous HST and Gaia globular-cluster proper-motion products as explicit observational operators. The release preserves selection, radial support, weighting, covariance, reference frame, nuisance structure, provenance, validation gates, and claim status. Version 1.1.0 contains the complete Stage 0–2F executable packages, exact frozen outputs used in the accompanying Astronomy and Computing manuscript, a 12-cluster transfer benchmark, the NGC 6397 same-star and 324-variant selection-envelope validation, the polished manuscript source and preprint, vector figures, claim ledger, benchmarks, checksums, and machine-readable metadata. The exact published NGC 6397 617-star tracer manifest cannot be uniquely reconstructed from the public source metadata; this is preserved as an unavailable claim rather than resolved by threshold tuning.

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