Rapid and Automated Classification of Events from the Palomar Transient Factory
Abstract
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.
- Publication:
-
American Astronomical Society Meeting Abstracts #213
- Pub Date:
- January 2009
- Bibcode:
- 2009AAS...21346907B