Real-time transient classification pipeline

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

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

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, 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
Pages635-638
Number of pages4
DOIs
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
Volume1000
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Other

OtherSanta Fe Conference on Gamma-Ray Bursts 2007, GRB 2007
CountryUnited States
CitySanta Fe, NM
Period11/5/0711/9/07

Keywords

  • Classification software
  • Surveys
  • Transient pipelines
  • VOEvent

ASJC Scopus subject areas

  • Physics and Astronomy(all)

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  • Cite this

    Starr, D. L., Bloom, J. S., & Butler, N. R. (2008). Real-time transient classification pipeline. In Gamma-Ray Bursts 2007 - Proceedings of the Santa Fe Conference (pp. 635-638). (AIP Conference Proceedings; Vol. 1000). https://doi.org/10.1063/1.2943550