Quality Control for Theoretical Data in the Virtual Observatory: Establishing Benchmark Tests for Synthetic Spectra
Thomas Rauch, Ellen Ringat (Institute for Astronomy and, Astrophysics, Kepler Center for Astro, Particle Physics, Eberhard Karls, University, Tuebingen, Germany)
TL;DR
This paper discusses quality control challenges for synthetic spectra in the Virtual Observatory, introducing benchmark tests to assess the reliability of spectral data provided by the TheoSSA service.
Contribution
It establishes benchmark tests for synthetic spectra in the Virtual Observatory, enhancing the reliability assessment of theoretical data for spectral analysis.
Findings
Development of benchmark tests for synthetic spectra.
Assessment of the reliability of TheoSSA spectral data.
Identification of quality control issues in VO spectral data.
Abstract
The Virtual Observatory (VO) provides access to both, data and theory. Quality control is a general problem and the VO user needs partly some experience to judge the reliability of the VO products. As far as spectral analysis is concerned, many different areas are involved, from atomic data to stellar model-atmosphere codes. Within the framework of the German Astrophysical Virtual Observatory (GAVO) project, the service TheoSSA is developed. It allows the VO user an easy access to synthetic spectral energy distributions (SEDs). We discuss quality control problems and the reliability of SEDs provided by TheoSSA.
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Taxonomy
TopicsAstronomical Observations and Instrumentation · Astronomy and Astrophysical Research · Environmental Monitoring and Data Management