Real-time Transient Classification and Broadcast Pipeline

Details Real-time Transient Classification and Broadcast Pipeline Real-time Transient Classification and Broadcast Pipeline

Aug 2008

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008aspc..394..609s&link_type=abstract

Astronomical Data Analysis Software and Systems ASP Conference Series, Vol. 394, Proceedings of the conference held 23-26 Septem

Computer Science

Learning

2

Scientific paper

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, being developed to handle several upcoming data torrents (e.g. from the Palomar Transient Project), and should be scalable to LSST volumes.

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