Entity-Based Astro-Computation Workflow for Reproducible Stellar–Exoplanet Catalog Analysis

With expanding stellar and exoplanet catalogs, new planetary population patterns emerge. Efficient identification requires unified data and analysis frameworks. We use a symbolic knowledge graph from extensive curated sources interfaced with astro-computation and diverse algorithms, visualizations and interactivity tools to build flexible exploration pipelines. Unlike ad-hoc scripts and spreadsheets, this entity-based approach unifies all aspects in a single interactive document environment. We recover the observed inner occupancy boundary of close-in planets while varying coordinate systems and catalogs. Using entity-linked stars and planets, we compute periastron and stellar properties in consistent units and separate main-sequence from evolved hosts. We then estimate the minimal observed periastron as a function of stellar properties. The Wolfram entity framework and computational environment provide a single integrated technology stack for the entire workflow. This design fosters reproducibility in research with complex data structure.