Paper
1 November 2001 Linking science analysis with observation planning: a full circle data lifecycle
Sandy Grosvenor, Jeremy E. Jones, Anuradha Koratkar, Connie Li, Jennifer Mackey, Ken Neher, Karl R. Wolf
Author Affiliations +
Abstract
A clear goal of the Virtual Observatory (VO) is to enable new science through analysis of integrated astronomical archives. An additional and powerful possibility of the VO is to link and integrate these new analyses with planning of new observations. By providing tools that can be used for observation planning in the VO, the VO will allow the data lifecycle to come full circle: from theory to observations to data and back around to new theories and new observations. The Scientist's Expert Assistant (SEA) Simulation Facility (SSF) is working to combine the ability to access existing archives with the ability to model and visualize new observations. Integrating the two will allow astronomers to better use the integrated archives of the VO to plan and predict the success of potential new observations more efficiently. The full circle lifecycle enabled by SEA can allow astronomers to make substantial leaps in the quality of data and science returns on new observations. Our talk examines the exciting potential of integrating archival analysis with new observation planning, such as performing data calibration analysis on archival images and using that analysis to predict the success of new observations, or performing dynamic signal-to-noise analysis combining historical results with modeling of new instruments or targets. We will also describe how the development of the SSF is progressing and what have been its successes and challenges.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sandy Grosvenor, Jeremy E. Jones, Anuradha Koratkar, Connie Li, Jennifer Mackey, Ken Neher, and Karl R. Wolf "Linking science analysis with observation planning: a full circle data lifecycle", Proc. SPIE 4477, Astronomical Data Analysis, (1 November 2001); https://doi.org/10.1117/12.447174
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Cited by 1 scholarly publication.
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KEYWORDS
Visualization

Observatories

Data archive systems

Instrument modeling

Device simulation

Sensors

Prototyping

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