Rapid and Automated Classification of Events from the Palomar Transient Factory

Details Rapid and Automated Classification of Events from the Palomar Transient Factory Rapid and Automated Classification of Events from the Palomar Transient Factory

Jan 2009

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009aas...21346907b&link_type=abstract

American Astronomical Society, AAS Meeting #213, #469.07; Bulletin of the American Astronomical Society, Vol. 41, p.419

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The Transients Classification Pipeline (TCP) is a Berkeley-led project which federates data streams from multiple surveys and observatories, classifies with machine learning and astronomer-defined science priors, and broadcasts sources of interest to various science clients (using the VOEvent protocol). The TCP is a production-level project, designed for real-time analysis, being developed to handle the Palomar Transient Factory data stream. The TCP framework should scale to LSST data volumes.

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