The NASA/IPAC/NExScI Star and Exoplanet Database

The NASA/IPAC/NExScI Star and Exoplanet Database (NStED) is a general purpose stellar archive which supports NASA planet-finding and planet-characterization goals, stellar astrophysics, and the planning of NASA and other space missions. There are two principal components of NStED: a database of 140,000 nearby stars and exoplanet-hosting stars, and an archive dedicated to high precision photometric surveys for transiting exoplanets (NStED-ETSS). We present summaries of these components. The NStED stellar database currently serves published parameters for 140,000 stars. These parameters include coordinates, multiplicity, proper motion, parallax, spectral type, multiband photometry, radial velocity, metallicity, chromospheric and coronal activity index, rotation velocity/period, infrared excess. NStED-ETSS currently serves data from the TrES survey of the Kepler field as well as dedicated photometric surveys of four stellar clusters. NStED-ETSS aims to serve both the surveys and the broader astronomical community by archiving these data and making them available in a homogeneous format.

💡 Research Summary

The NASA/IPAC/NExScI Star and Exoplanet Database (NStED) is presented as a two‑fold infrastructure designed to serve both the immediate needs of NASA’s planet‑finding missions and the broader astronomical community. The first component is a stellar archive that currently contains published parameters for roughly 140 000 nearby stars, including those known to host exoplanets. For each object the database stores a comprehensive suite of physical and observational quantities: precise equatorial coordinates, proper motions, parallaxes, multiplicity information, spectral classifications, multi‑band photometry (optical, near‑infrared, and mid‑infrared), radial velocities, metallicities, chromospheric activity indices (e.g., R′HK), coronal X‑ray fluxes, rotation velocities and periods, and indicators of infrared excess. These parameters are regularly updated through a semi‑automated literature ingestion pipeline, and each entry is linked to its original references, ensuring traceability and reproducibility.

The second component, the Exoplanet Transit Survey Service (ETSS), focuses on high‑precision time‑series photometry from ground‑based transit surveys. At the time of publication ETSS hosts data from the TrES survey of the Kepler field as well as dedicated photometric campaigns on four stellar clusters. All light curves are re‑formatted into a homogeneous structure (time, flux, uncertainty) and made available through both a web‑based viewer and programmatic interfaces (VO‑compatible TAP services, RESTful APIs). This uniformity eliminates the long‑standing problem of heterogeneous data formats that has hampered cross‑survey analyses, and it enables a wide range of scientific investigations beyond the original survey goals, such as machine‑learning based transit detection, long‑term variability studies, and stellar rotation period measurements.

From a technical standpoint, NStED leverages IPAC’s high‑performance relational database back‑end and a scalable web‑service layer. Data are stored in a normalized schema that supports rapid query execution, while large light‑curve files are served via a content‑delivery network to ensure efficient bulk downloads. The system adheres to Virtual Observatory standards (TAP, SIA) and provides both FITS and CSV export options, facilitating seamless integration with external analysis pipelines and community tools.

The authors argue that NStED’s strength lies in its combination of breadth (covering a large fraction of bright, nearby stars), depth (including a rich set of ancillary parameters), and accessibility (standardized formats, robust APIs, and clear data‑use policies). By acting as a centralized repository, NStED reduces duplication of effort, improves data discoverability, and accelerates the planning and execution of current and future missions such as Kepler, TESS, PLATO, and JWST. The paper concludes that NStED represents a sustainable, extensible model for astronomical data archiving, poised to accommodate the rapidly increasing volume of exoplanet and stellar observations anticipated in the coming decade.