Panchromatic mining for quasars: an NVO keystone science application
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Abstract
A data Tsunami is overwhelming Astronomy. This wave is affecting all aspects of our field, revolutionizing not just the type of scientific questions being asked, but the very nature of how the answers are uncovered. In this invited proceeding, we will address a particular scientific application - Panchromatic Mining for Quasars - of the forthcoming virtual observatories, which have arisen in an effort to control the effects of the data Tsunami. This project, in addition to serving as an important scientific driver for virtual observatory technologies, is designed to a) characterize the multi-wavelength nature of known active galaxies and quasars, especially in relation to their local environment, in order to b) quantify the clustering of these known systems in the multidimensional parameter space formed by their observables, so that new, and potentially unknown types of systems can be optimally targeted.
Additional Information
© 2001 Society of Photo-Optical Instrumentation Engineers (SPIE). We are grateful to all of our collaborators from around the world who share our vision, in particular the other members of the Digital Sky project. Particular thanks are given to George Djorgovski, Tom Prince, and Alex Szalay who have inspired and assisted with much of what is described in this proceeding, and to Jim Gray for both financial and moral support. In addition, we wish to thank NASA and NSF for their encouragement in difficult times, and both SUN Microsystems and Microsoft Research for their support. Finally, we would like to explicitly acknowledge financial support from NASA grants NAG5-10885 and NAG5-9482.Attached Files
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Additional details
Identifiers
- Eprint ID
- 91790
- Resolver ID
- CaltechAUTHORS:20181213-143630305
Funding
- Sun Microsystems, Inc.
- Microsoft Research
- NASA
- NAG5-10885
- NASA
- NAG5-9482
Dates
- Created
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2018-12-19Created from EPrint's datestamp field
- Updated
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2021-11-16Created from EPrint's last_modified field
Caltech Custom Metadata
- Series Name
- Proceedings of SPIE
- Series Volume or Issue Number
- 4477