Paper
16 December 2002 SkyDOT (Sky Database for Objects in the Time Domain): a virtual observatory for variability studies at LANL
Przemek Wozniak, Konstantin N. Borozdin, Mark C. Galassi, William C. Priedhorsky, Daniel Starr, W. Thomas Vestrand, Robert White, James A. Wren
Author Affiliations +
Abstract
The mining of Virtual Observatories (VOs) is becoming a powerful new method for discovery in astronomy. Here we report on the development of SkyDOT (Sky Database for Objects in the Time domain), a new Virtual Observatory, which is dedicated to the study of sky variability. The site will confederate a number of massive variability surveys and enable exploration of the time domain in astronomy. We discuss the architecture of the database and the functionality of the user interface. An important aspect of SkyDOT is that it is continuously updated in near real time so that users can access new observations in a timely manner. The site will also utilize high level machine learning tools that will allow sophisticated mining of the archive. Another key feature is the real time data stream provided by RAPTOR (RAPid Telescopes for Optical Response), a new sky monitoring experiment under construction at Los Alamos National Laboratory (LANL).
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Przemek Wozniak, Konstantin N. Borozdin, Mark C. Galassi, William C. Priedhorsky, Daniel Starr, W. Thomas Vestrand, Robert White, and James A. Wren "SkyDOT (Sky Database for Objects in the Time Domain): a virtual observatory for variability studies at LANL", Proc. SPIE 4846, Virtual Observatories, (16 December 2002); https://doi.org/10.1117/12.461518
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Databases

Astronomy

Observatories

Machine learning

Telescopes

Stars

Human-machine interfaces

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