Real-time transient classification pipeline

Dan L. Starr, J. S. Bloom, N. R. Butler

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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 Factory), and should be scalable to LSST volumes.

Original languageEnglish (US)
Title of host publicationGamma-Ray Bursts 2007 - Proceedings of the Santa Fe Conference
Number of pages4
StatePublished - Dec 1 2008
Externally publishedYes
EventSanta Fe Conference on Gamma-Ray Bursts 2007, GRB 2007 - Santa Fe, NM, United States
Duration: Nov 5 2007Nov 9 2007

Publication series

NameAIP Conference Proceedings
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616


OtherSanta Fe Conference on Gamma-Ray Bursts 2007, GRB 2007
Country/TerritoryUnited States
CitySanta Fe, NM


  • Classification software
  • Surveys
  • Transient pipelines
  • VOEvent

ASJC Scopus subject areas

  • General Physics and Astronomy


Dive into the research topics of 'Real-time transient classification pipeline'. Together they form a unique fingerprint.

Cite this