Dynamical Masses of 652 Orbital Binary Star Systems
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Description
NASA's HEASARC provides a refined set of 652 binary star systems with reliable orbits and determined parallaxes. The dataset, created in October 2014, includes three mass estimates (dynamical, photometric, spectroscopic), main orbital elements, and component magnitudes and spectral types. It was compiled from the Observatorio Astronomico Ramon Maria Aller Catalog (OARMAC), the Sixth Catalog of Orbits of Visual Binary Stars (ORB6), and updated information from the Washington Double Star (WDS) Catalog and SIMBAD.
Use Cases
Modeling stellar mass-luminosity relationships based on the provided dynamical, photometric, and spectroscopic mass estimates.
Analyzing orbital parameter distributions (period, semi-major axis, eccentricity) for binary star systems.
Training models to predict stellar properties based on spectral types and visual magnitudes.
Validating theoretical models of binary star formation and evolution using empirical dynamical mass data.
Strengths
Contains 652 binary systems with reliable orbits and determined parallaxes, providing a focused sample.
Includes three distinct mass estimates (dynamical, photometric, spectroscopic) per system for comparison.
Compiled from authoritative catalogs (OARMAC, ORB6, WDS, SIMBAD) with documented provenance.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown for the full orbit list (3139 orbits for 2278 pairs), which may limit suitability assessment.
Data may reflect observational and selection bias inherent to the source catalogs.
Provenance
Source
National Aeronautics and Space Administration (NASA), HEASARC, based on CDS Catalog J/A+A/546/A69.
Collection Method
Compiled from the Observatorio Astronomico Ramon Maria Aller Catalog (OARMAC), the Sixth Catalog of Orbits of Visual Binary Stars (ORB6), the Washington Double Star (WDS) Catalog, and SIMBAD.
Time Range
null
Freshness
Last updated 2026-03-13 18:46:50.503747; freshness should be verified as the underlying data compilation is from 2014.
Geography
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License is listed as 'other-license-specified'; terms should be reviewed before use. File formats include BIN and HTML.