Computer Science – Learning
Scientific paper
May 2009
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009aas...21440703g&link_type=abstract
American Astronomical Society, AAS Meeting #214, #407.03; Bulletin of the American Astronomical Society, Vol. 41, p.669
Computer Science
Learning
Scientific paper
Skyalert.org is a web-based management system for collecting and disseminating observations about time-critical astronomical transients, and for adding annotations and intelligent machine-learning to those observations. The information is "pushed” to subscribers, who may be either humans (email, text message etc) or they may be machines that control telescopes. Subscribers can prepare precise "trigger rules” to decide which events should reach them and their robots, rules that may be based on sky position, or on the specific vocabulary of parameters that define a particular type of event. Each event has its own web page updated immediately when new information comes, with long-lived URLs and wiki capability. The subscriber has an account on the web, and builds the trigger-rules and watch-lists there, defining decision criteria about future events. As soon as the transient event is seen and causes trigger, a message can be pushed to the subscriber, email, IM, text-message, etc. Annotations can be fetched automatically and immediately from the archives, such as SDSS, DSS, NED, Simbad, or other Virtual Observatory resources. Other actions upon event arrival include immediate running of data mining or classification modules, based on the event and past data. Skyalert can also drive robotic telescopes through the HTN and dc3.org schedulers; it can evaluate joint trigger rules such as "magnitude difference from SDSS". Skyalert is a component system allowing pluggable custom data mining modules, distributed intelligence, and a central point of information for each transient. Our twin thrusts are automation of process, and discrimination of interesting events.
Djorgovski S. D.
Drake Andrew J.
Graham Matthew
Mahabal Ashish A.
Williams David Richard
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