Other
Scientific paper
Jan 2010
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010aas...21547010d&link_type=abstract
American Astronomical Society, AAS Meeting #215, #470.10; Bulletin of the American Astronomical Society, Vol. 42, p.515
Other
Scientific paper
The Catalina Real-time Transient Survey (CRTS) is an open collaborative project which utilizes data from three dedicated telescopes administered by the Catalina Sky Survey (CSS). This survey covers the sky at declinations between -80 and 70 with 10 degree avoidance of the Galactic plane. Observations cover 2000 square degrees per night on the sky for the 21 darkest nights per lunation and typically reaching objects with magnitudes as faint as 21.5 (depending on telescope). Survey observations have been taken in sequences of four images separated by 10 minutes over past five years, thus CRTS sensitive to transient phenomena and variability with timescales from minutes to years.
More than 1000 optical transients have been discovered by the CRTS project during the first two years of operation. These transients include more than 500 newly discovered supernovae and dwarf novae. Among the initial discoveries are many extremely energetic and luminous supernova residing in faint host galaxies. Other populations of optical transients discovered include Blazars, AGN and flare stars.
All CRTS discoveries are processed and distributed openly within minutes of observation using SkyAlert and VOEvent technologies as well as html tables, RSS and Twitter feeds. Further transient classification is performed using follow up imaging and spectroscopy with Palomar, Keck, Gemini and SMARTs telescopes in combination with VO-enabled archival analysis of the CSS and Palomar Quest synoptic datasets along with DSS, 2MASS, SDSS, GALEX and UKIDSS data. Additional rapid classification efforts are also being undertaken to utilize collaborative Citizen science based on human computing via the AstroCollation and SkyAlert projects.
Public outreach is currently being undertaken using GoogleSky, World Wide Telescope and iPhone technologies. All past CSS synoptic survey data will soon be made publicly accessible to enable variability studies and provide contextual information for transient future surveys.
Beshore Edward
Catelan Márcio
Christensen Erik
Djorgovski Stanislav G.
Drake Andrew J.
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