Computer Science – Learning
Scientific paper
Dec 2002
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002aas...201.0807w&link_type=abstract
American Astronomical Society, 201st AAS Meeting, #08.07; Bulletin of the American Astronomical Society, Vol. 34, p.1105
Computer Science
Learning
Scientific paper
Virtual Observatories (VOs) and data mining thereof is a powerful new method for discovery in astronomy. We describe the SkyDOT (Sky Database for Objects in the Time domain), a new Virtual Observatory, which is dedicated to the study of sky variability. We discuss the architecture of the database and the functionality of the user interface. The key feature of SkyDOT is the real time data stream provided by RAPTOR (RAPid Telescopes for Optical Response), the sky monitoring experiment designed and conducted at the Los Alamos National Laboratory (LANL). The site will also confederate a number of massive variability surveys and enable exploration of the time domain in astronomy. Currently, the public domain OGLE-II data set from difference image photometry of the Galactic bulge has been integrated into the database and is available for searching. The site will also utilize high level machine learning tools that will allow sophisticated mining of the archive.
Starr Daniel
Vestrand Thomas W.
Wozniak Prezemyslaw R.
No associations
LandOfFree
Sky Database for Objects in Time-Domain (SkyDOT). A general tool for sky variability studies at LANL. does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Sky Database for Objects in Time-Domain (SkyDOT). A general tool for sky variability studies at LANL., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Sky Database for Objects in Time-Domain (SkyDOT). A general tool for sky variability studies at LANL. will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1889293