Exploring the Time Domain With the Catalina Real-Time Transient ...

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Automated Classification of Transients A critical and growing need for synoptic sky surveys • Efforts started with the PQ survey, now continuing with CRTS and soon PTF o Collaboration with CS experts: M. Turmon, B. Moghaddam (JPL), D. Heckerman (MSR), others • Exploring Bayesian Nets, Gaussian Process Regression; also using Neural Nets for selected tasks; Markov Logic Chains, MAB, etc. • A key importance of the contextual information: e.g., presence of the possible host galaxies, Gal. latitude, past light curve… o Very hard to encode in the traditional ML methods o Harvesting human pattern recognition through the “citizen science” projects
Crowdsourcing / Citizen Science Harvesting the human pattern recognition skills
Page 1 and 2: The Eventful Universe NOAO, March 2
Page 3 and 4: CSS coverage as of Sep. 2008 http:/
Page 5 and 6: Some Good Things About CRTS • Rea
Page 7 and 8: Sample Light Curves Blazar PKS0823+
Page 9 and 10: SkyAlert: Links to the Including th
Page 11 and 12: Annotated Table of Transients http:
Page 13 and 14: Follow-Up Observations: CSS090421:1
Page 15 and 16: CRTS Supernova Discoveries • More
Page 17 and 18: The Unusual SN 2008iy = CSS080928:1
Page 19 and 20: Blazar Flares: A Recent Example CRA
Page 21 and 22: Discovery of a New FU Ori Object 10
Page 23: Coadded Images From MLS (1.5m) SDSS

Exploring the Time Domain With the Catalina Real-Time Transient ...

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